diff --git a/docs/guide/awesome.md b/docs/guide/awesome.md index 708c99a1..0b4bf86c 100644 --- a/docs/guide/awesome.md +++ b/docs/guide/awesome.md @@ -12,8 +12,8 @@ import DataBadge from "../../.vitepress/components/DataBadge/DataBadge.vue"; * [CatAI](https://github.com/withcatai/catai) - a simplified AI assistant API for Node.js, with REST API support
-* [Manzoni](https://manzoni.app/) ([GitHub](https://github.com/gems-platforms/manzoni-app)) - a text editor running local LLMs -
+* [QMD](https://github.com/tobi/qmd) (Query Markup Documents) - an on-device search engine for your markdown notes, meeting transcripts, documentation, and knowledge bases. Search with keywords or natural language +
* [Clippy](https://felixrieseberg.github.io/clippy/) ([GitHub](https://github.com/felixrieseberg/clippy)) - Clippy, resurrected from the 1990s, now with some AI
@@ -25,6 +25,8 @@ import DataBadge from "../../.vitepress/components/DataBadge/DataBadge.vue"; * [nutshell](https://withnutshell.com) - Private AI meeting notes processed completely on your device +* [Manzoni](https://manzoni.app/) ([GitHub](https://github.com/gems-platforms/manzoni-app)) - a text editor running local LLMs +
diff --git a/llama/addon/AddonContext.cpp b/llama/addon/AddonContext.cpp index 87b18970..2b70c08f 100644 --- a/llama/addon/AddonContext.cpp +++ b/llama/addon/AddonContext.cpp @@ -965,6 +965,69 @@ Napi::Value AddonContext::SetLoras(const Napi::CallbackInfo& info) { return info.Env().Undefined(); } +class RestoreCheckpointWorker : public Napi::AsyncWorker { + public: + AddonContext* context; + AddonContextSequenceCheckpoint* checkpoint; + std::size_t maxPosIndex; + bool restoreSuccess = false; + + RestoreCheckpointWorker(const Napi::CallbackInfo& info, AddonContext* context, AddonContextSequenceCheckpoint* checkpoint, std::size_t maxPosIndex) + : Napi::AsyncWorker(info.Env(), "RestoreCheckpointWorker"), + context(context), + checkpoint(checkpoint), + maxPosIndex(maxPosIndex), + deferred(Napi::Promise::Deferred::New(info.Env())) { + context->Ref(); + checkpoint->Ref(); + } + ~RestoreCheckpointWorker() { + context->Unref(); + checkpoint->Unref(); + } + + Napi::Promise GetPromise() { + return deferred.Promise(); + } + + protected: + Napi::Promise::Deferred deferred; + + void Execute() { + try { + std::lock_guard lock(checkpoint->dataMutex); + + std::size_t dataSize = checkpoint->data.size(); + std::size_t restoreSize = llama_state_seq_set_data_ext(context->ctx, checkpoint->data.data(), dataSize, checkpoint->sequenceId, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); + if (restoreSize == dataSize) { + restoreSuccess = ( + llama_memory_seq_rm(llama_get_memory(context->ctx), checkpoint->sequenceId, maxPosIndex + 1, -1) && + llama_memory_seq_pos_max(llama_get_memory(context->ctx), checkpoint->sequenceId) == maxPosIndex + ); + } + } catch (const std::exception& e) { + SetError(e.what()); + } catch(...) { + SetError("Unknown error when calling \"llama_state_seq_set_data_ext\""); + } + } + void OnOK() { + deferred.Resolve(Napi::Boolean::New(Env(), restoreSuccess)); + } + void OnError(const Napi::Error& err) { + deferred.Reject(err.Value()); + } +}; + +Napi::Value AddonContext::RestoreCheckpoint(const Napi::CallbackInfo& info) { + AddonContextSequenceCheckpoint* checkpoint = Napi::ObjectWrap::Unwrap(info[0].As()); + std::size_t maxPosIndex = info[1].As().Int32Value(); + + RestoreCheckpointWorker* worker = new RestoreCheckpointWorker(info, this, checkpoint, maxPosIndex); + worker->Queue(); + return worker->GetPromise(); +} + void AddonContext::init(Napi::Object exports) { exports.Set( "AddonContext", @@ -992,8 +1055,113 @@ void AddonContext::init(Napi::Object exports) { InstanceMethod("saveSequenceStateToFile", &AddonContext::SaveSequenceStateToFile), InstanceMethod("loadSequenceStateFromFile", &AddonContext::LoadSequenceStateFromFile), InstanceMethod("setLoras", &AddonContext::SetLoras), + InstanceMethod("restoreCheckpoint", &AddonContext::RestoreCheckpoint), InstanceMethod("dispose", &AddonContext::Dispose), } ) ); } + +AddonContextSequenceCheckpoint::AddonContextSequenceCheckpoint(const Napi::CallbackInfo& info) : Napi::ObjectWrap(info) { + +} +AddonContextSequenceCheckpoint::~AddonContextSequenceCheckpoint() { + dispose(); +} + +class AddonContextSequenceCheckpointInitWorker : public Napi::AsyncWorker { + public: + AddonContextSequenceCheckpoint* checkpoint; + AddonContext* context; + + AddonContextSequenceCheckpointInitWorker(const Napi::CallbackInfo& info, AddonContextSequenceCheckpoint* checkpoint, AddonContext* context) + : Napi::AsyncWorker(info.Env(), "AddonContextSequenceCheckpointInitWorker"), + checkpoint(checkpoint), + context(context), + deferred(Napi::Promise::Deferred::New(info.Env())) { + checkpoint->Ref(); + context->Ref(); + } + ~AddonContextSequenceCheckpointInitWorker() { + checkpoint->Unref(); + context->Unref(); + } + + Napi::Promise GetPromise() { + return deferred.Promise(); + } + + protected: + Napi::Promise::Deferred deferred; + + void Execute() { + try { + checkpoint->minPos = llama_memory_seq_pos_min(llama_get_memory(context->ctx), checkpoint->sequenceId); + checkpoint->maxPos = llama_memory_seq_pos_max(llama_get_memory(context->ctx), checkpoint->sequenceId); + const size_t checkpointSize = llama_state_seq_get_size_ext(context->ctx, checkpoint->sequenceId, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); + + checkpoint->data.resize(checkpointSize, 0); + llama_state_seq_get_data_ext(context->ctx, checkpoint->data.data(), checkpointSize, checkpoint->sequenceId, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY); + } catch (const std::exception& e) { + SetError(e.what()); + } catch(...) { + SetError("Unknown error when calling \"llama_state_seq_get_data_ext\""); + } + } + void OnOK() { + deferred.Resolve(Env().Undefined()); + } + void OnError(const Napi::Error& err) { + deferred.Reject(err.Value()); + } +}; + +Napi::Value AddonContextSequenceCheckpoint::Init(const Napi::CallbackInfo& info) { + AddonContext * context = Napi::ObjectWrap::Unwrap(info[0].As()); + sequenceId = info[1].As().Int32Value(); + + AddonContextSequenceCheckpointInitWorker* worker = new AddonContextSequenceCheckpointInitWorker(info, this, context); + worker->Queue(); + return worker->GetPromise(); +} + +Napi::Value AddonContextSequenceCheckpoint::Dispose(const Napi::CallbackInfo& info) { + dispose(); + return info.Env().Undefined(); +} + +void AddonContextSequenceCheckpoint::dispose() { + std::lock_guard lock(dataMutex); + data.clear(); + data.resize(0); +} + +Napi::Value AddonContextSequenceCheckpoint::GetSize(const Napi::CallbackInfo& info) { + return Napi::Number::New(info.Env(), data.size()); +} + +Napi::Value AddonContextSequenceCheckpoint::GetMinPos(const Napi::CallbackInfo& info) { + return Napi::Number::New(info.Env(), minPos); +} + +Napi::Value AddonContextSequenceCheckpoint::GetMaxPos(const Napi::CallbackInfo& info) { + return Napi::Number::New(info.Env(), maxPos); +} + +void AddonContextSequenceCheckpoint::init(Napi::Object exports) { + exports.Set( + "AddonContextSequenceCheckpoint", + DefineClass( + exports.Env(), + "AddonContextSequenceCheckpoint", + { + InstanceMethod("init", &AddonContextSequenceCheckpoint::Init), + InstanceMethod("dispose", &AddonContextSequenceCheckpoint::Dispose), + + InstanceAccessor("size", &AddonContextSequenceCheckpoint::GetSize, nullptr), + InstanceAccessor("minPos", &AddonContextSequenceCheckpoint::GetMinPos, nullptr), + InstanceAccessor("maxPos", &AddonContextSequenceCheckpoint::GetMaxPos, nullptr), + } + ) + ); +} \ No newline at end of file diff --git a/llama/addon/AddonContext.h b/llama/addon/AddonContext.h index 3e09f96d..2e677203 100644 --- a/llama/addon/AddonContext.h +++ b/llama/addon/AddonContext.h @@ -1,4 +1,7 @@ #pragma once + +#include + #include "llama.h" #include "napi.h" #include "addonGlobals.h" @@ -53,6 +56,30 @@ class AddonContext : public Napi::ObjectWrap { Napi::Value EnsureDraftContextIsCompatibleForSpeculative(const Napi::CallbackInfo& info); Napi::Value SetLoras(const Napi::CallbackInfo& info); + Napi::Value RestoreCheckpoint(const Napi::CallbackInfo& info); + + static void init(Napi::Object exports); +}; + +class AddonContextSequenceCheckpoint : public Napi::ObjectWrap { + public: + std::mutex dataMutex; + std::vector data; + llama_seq_id sequenceId = 0; + std::size_t minPos = 0; + std::size_t maxPos = 0; + + AddonContextSequenceCheckpoint(const Napi::CallbackInfo& info); + ~AddonContextSequenceCheckpoint(); + + Napi::Value Init(const Napi::CallbackInfo& info); + Napi::Value Dispose(const Napi::CallbackInfo& info); + + void dispose(); + + Napi::Value GetSize(const Napi::CallbackInfo& info); + Napi::Value GetMinPos(const Napi::CallbackInfo& info); + Napi::Value GetMaxPos(const Napi::CallbackInfo& info); static void init(Napi::Object exports); }; diff --git a/llama/addon/addon.cpp b/llama/addon/addon.cpp index 837e0218..eb1f35bf 100644 --- a/llama/addon/addon.cpp +++ b/llama/addon/addon.cpp @@ -317,6 +317,7 @@ Napi::Object registerCallback(Napi::Env env, Napi::Object exports) { AddonGrammar::init(exports); AddonGrammarEvaluationState::init(exports); AddonContext::init(exports); + AddonContextSequenceCheckpoint::init(exports); AddonSampler::init(exports); llama_log_set(addonLlamaCppLogCallback, nullptr); diff --git a/package-lock.json b/package-lock.json index 119a60df..34dbed59 100644 --- a/package-lock.json +++ b/package-lock.json @@ -10,7 +10,7 @@ "hasInstallScript": true, "license": "MIT", "dependencies": { - "@huggingface/jinja": "^0.5.5", + "@huggingface/jinja": "^0.5.6", "async-retry": "^1.3.3", "bytes": "^3.1.2", "chalk": "^5.6.2", @@ -19,22 +19,22 @@ "cross-spawn": "^7.0.6", "env-var": "^7.5.0", "filenamify": "^6.0.0", - "fs-extra": "^11.3.0", + "fs-extra": "^11.3.4", "ignore": "^7.0.4", "ipull": "^3.9.5", "is-unicode-supported": "^2.1.0", "lifecycle-utils": "^3.1.1", "log-symbols": "^7.0.1", "nanoid": "^5.1.6", - "node-addon-api": "^8.5.0", + "node-addon-api": "^8.6.0", "ora": "^9.3.0", "pretty-ms": "^9.3.0", "proper-lockfile": "^4.1.2", "semver": "^7.7.1", - "simple-git": "^3.32.2", + "simple-git": "^3.33.0", "slice-ansi": "^8.0.0", "stdout-update": "^4.0.1", - "strip-ansi": "^7.1.2", + "strip-ansi": "^7.2.0", "validate-npm-package-name": "^7.0.2", "which": "^6.0.1", "yargs": "^17.7.2" @@ -53,7 +53,7 @@ "@resvg/resvg-js": "^2.6.2", "@semantic-release/exec": "^7.1.0", "@semantic-release/github": "^12.0.6", - "@semantic-release/npm": "^13.1.4", + "@semantic-release/npm": "^13.1.5", "@shikijs/vitepress-twoslash": "^3.22.0", "@stylistic/eslint-plugin": "^5.8.0", "@types/async-retry": "^1.4.9", @@ -66,8 +66,8 @@ "@types/validate-npm-package-name": "^4.0.2", "@types/which": "^3.0.4", "@types/yargs": "^17.0.33", - "@vitest/coverage-v8": "^4.0.18", - "@vitest/ui": "^4.0.18", + "@vitest/coverage-v8": "^4.1.0", + "@vitest/ui": "^4.1.0", "electron": "^40.4.1", "eslint": "^9.39.2", "eslint-import-resolver-typescript": "^4.4.4", @@ -87,10 +87,10 @@ "typedoc-vitepress-theme": "^1.1.2", "typescript": "^5.9.3", "typescript-eslint": "^8.56.0", - "vite-node": "^5.3.0", + "vite-node": "^6.0.0", "vitepress": 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"version": "1.0.2", "dev": true, "inBundle": true, "license": "MIT", + "dependencies": { + "retry": "^0.13.1" + }, "engines": { - "node": "20 || >=22" + "node": "^20.17.0 || >=22.9.0" } }, - "node_modules/npm/node_modules/@isaacs/brace-expansion": { - "version": "5.0.0", + "node_modules/npm/node_modules/@gar/promise-retry/node_modules/retry": { + "version": "0.13.1", "dev": true, "inBundle": true, "license": "MIT", - "dependencies": { - "@isaacs/balanced-match": "^4.0.1" - }, "engines": { - "node": "20 || >=22" + "node": ">= 4" } }, "node_modules/npm/node_modules/@isaacs/fs-minipass": { @@ -12821,11 +13315,12 @@ } }, "node_modules/npm/node_modules/@npmcli/arborist": { - "version": "9.1.8", + "version": "9.4.1", "dev": true, "inBundle": true, "license": "ISC", "dependencies": { + "@gar/promise-retry": "^1.0.0", "@isaacs/string-locale-compare": "^1.1.0", "@npmcli/fs": "^5.0.0", "@npmcli/installed-package-contents": "^4.0.0", @@ -12839,7 +13334,7 @@ "@npmcli/run-script": "^10.0.0", "bin-links": "^6.0.0", "cacache": "^20.0.1", - "common-ancestor-path": "^1.0.1", + "common-ancestor-path": "^2.0.0", "hosted-git-info": "^9.0.0", "json-stringify-nice": "^1.1.4", "lru-cache": "^11.2.1", @@ -12868,7 +13363,7 @@ } }, "node_modules/npm/node_modules/@npmcli/config": { - "version": "10.4.4", + "version": "10.7.1", "dev": true, "inBundle": true, "license": "ISC", @@ -12899,17 +13394,17 @@ } }, "node_modules/npm/node_modules/@npmcli/git": { - "version": "7.0.1", + "version": "7.0.2", "dev": true, "inBundle": true, "license": "ISC", "dependencies": { + "@gar/promise-retry": "^1.0.0", "@npmcli/promise-spawn": "^9.0.0", "ini": "^6.0.0", "lru-cache": "^11.2.1", "npm-pick-manifest": "^11.0.1", "proc-log": "^6.0.0", - "promise-retry": "^2.0.1", "semver": "^7.3.5", "which": "^6.0.0" }, @@ -12983,7 +13478,7 @@ } }, "node_modules/npm/node_modules/@npmcli/package-json": { - "version": "7.0.4", + "version": "7.0.5", "dev": true, "inBundle": true, "license": "ISC", @@ -12994,7 +13489,7 @@ "json-parse-even-better-errors": "^5.0.0", "proc-log": "^6.0.0", "semver": "^7.5.3", - "validate-npm-package-license": "^3.0.4" + "spdx-expression-parse": "^4.0.0" }, "engines": { "node": "^20.17.0 || >=22.9.0" @@ -13034,7 +13529,7 @@ } }, "node_modules/npm/node_modules/@npmcli/run-script": { - "version": "10.0.3", + "version": "10.0.4", "dev": true, "inBundle": true, "license": "ISC", @@ -13043,8 +13538,7 @@ "@npmcli/package-json": "^7.0.0", "@npmcli/promise-spawn": "^9.0.0", "node-gyp": "^12.1.0", - "proc-log": "^6.0.0", - "which": "^6.0.0" + "proc-log": "^6.0.0" }, "engines": { "node": "^20.17.0 || >=22.9.0" @@ -13063,7 +13557,7 @@ } }, "node_modules/npm/node_modules/@sigstore/core": { - "version": "3.0.0", + "version": "3.1.0", "dev": true, "inBundle": true, "license": "Apache-2.0", @@ -13081,52 +13575,43 @@ } }, "node_modules/npm/node_modules/@sigstore/sign": { - "version": "4.0.1", + "version": "4.1.0", "dev": true, "inBundle": true, "license": "Apache-2.0", "dependencies": { "@sigstore/bundle": "^4.0.0", - "@sigstore/core": "^3.0.0", + "@sigstore/core": "^3.1.0", "@sigstore/protobuf-specs": "^0.5.0", - "make-fetch-happen": "^15.0.2", - "proc-log": "^5.0.0", + "make-fetch-happen": "^15.0.3", + "proc-log": "^6.1.0", "promise-retry": "^2.0.1" }, "engines": { "node": "^20.17.0 || >=22.9.0" } }, - "node_modules/npm/node_modules/@sigstore/sign/node_modules/proc-log": { - "version": "5.0.0", - "dev": true, - "inBundle": true, - "license": "ISC", - "engines": { - "node": "^18.17.0 || >=20.5.0" - } - }, "node_modules/npm/node_modules/@sigstore/tuf": { - "version": "4.0.0", + "version": "4.0.1", "dev": true, "inBundle": true, "license": "Apache-2.0", "dependencies": { "@sigstore/protobuf-specs": "^0.5.0", - "tuf-js": "^4.0.0" + "tuf-js": "^4.1.0" }, "engines": { "node": "^20.17.0 || >=22.9.0" } }, "node_modules/npm/node_modules/@sigstore/verify": { - "version": "3.0.0", + "version": "3.1.0", "dev": true, "inBundle": true, "license": "Apache-2.0", "dependencies": { "@sigstore/bundle": "^4.0.0", - "@sigstore/core": "^3.0.0", + "@sigstore/core": "^3.1.0", "@sigstore/protobuf-specs": "^0.5.0" }, "engines": { @@ -13143,33 +13628,18 @@ } }, "node_modules/npm/node_modules/@tufjs/models": { - "version": "4.0.0", + "version": "4.1.0", "dev": true, "inBundle": true, "license": "MIT", "dependencies": { "@tufjs/canonical-json": "2.0.0", - "minimatch": "^9.0.5" + "minimatch": "^10.1.1" }, "engines": { "node": "^20.17.0 || >=22.9.0" } }, - "node_modules/npm/node_modules/@tufjs/models/node_modules/minimatch": { - "version": "9.0.5", - "dev": true, - "inBundle": true, - "license": "ISC", - "dependencies": { - "brace-expansion": "^2.0.1" - }, - "engines": { - "node": ">=16 || 14 >=14.17" - }, - "funding": { - "url": "https://github.com/sponsors/isaacs" - } - }, "node_modules/npm/node_modules/abbrev": { "version": "4.0.0", "dev": true, @@ -13188,15 +13658,6 @@ "node": ">= 14" } }, - "node_modules/npm/node_modules/ansi-regex": { - "version": "5.0.1", - "dev": true, - "inBundle": true, - "license": "MIT", - "engines": { - "node": ">=8" - } - }, "node_modules/npm/node_modules/aproba": { "version": "2.1.0", "dev": true, @@ -13210,10 +13671,13 @@ "license": "MIT" }, "node_modules/npm/node_modules/balanced-match": { - "version": "1.0.2", + "version": "4.0.4", "dev": true, "inBundle": true, - "license": "MIT" + "license": "MIT", + "engines": { + "node": "18 || 20 || >=22" + } }, "node_modules/npm/node_modules/bin-links": { "version": "6.0.0", @@ -13244,12 +13708,15 @@ } }, "node_modules/npm/node_modules/brace-expansion": { - "version": "2.0.2", + "version": "5.0.4", "dev": true, "inBundle": true, "license": "MIT", "dependencies": { - "balanced-match": "^1.0.0" + "balanced-match": "^4.0.2" + }, + "engines": { + "node": "18 || 20 || >=22" } }, "node_modules/npm/node_modules/cacache": { @@ -13296,7 +13763,7 @@ } }, "node_modules/npm/node_modules/ci-info": { - "version": "4.3.1", + "version": "4.4.0", "dev": true, "funding": [ { @@ -13311,30 +13778,14 @@ } }, "node_modules/npm/node_modules/cidr-regex": { - "version": "5.0.1", + "version": "5.0.3", "dev": true, "inBundle": true, "license": "BSD-2-Clause", - "dependencies": { - "ip-regex": "5.0.0" - }, "engines": { "node": ">=20" } }, - "node_modules/npm/node_modules/cli-columns": { - "version": "4.0.0", - "dev": true, - "inBundle": true, - "license": "MIT", - "dependencies": { - "string-width": "^4.2.3", - "strip-ansi": "^6.0.1" - }, - "engines": { - "node": ">= 10" - } - }, "node_modules/npm/node_modules/cmd-shim": { "version": "8.0.0", "dev": true, @@ -13345,10 +13796,13 @@ } }, "node_modules/npm/node_modules/common-ancestor-path": { - "version": "1.0.1", + "version": "2.0.0", "dev": true, "inBundle": true, - "license": "ISC" + "license": "BlueOak-1.0.0", + "engines": { + "node": ">= 18" + } }, "node_modules/npm/node_modules/cssesc": { "version": "3.0.0", @@ -13380,7 +13834,7 @@ } }, "node_modules/npm/node_modules/diff": { - "version": "8.0.2", + "version": "8.0.3", "dev": true, "inBundle": true, "license": "BSD-3-Clause", @@ -13388,22 +13842,6 @@ "node": ">=0.3.1" } }, - "node_modules/npm/node_modules/emoji-regex": { - "version": "8.0.0", - "dev": true, - "inBundle": true, - "license": "MIT" - }, - "node_modules/npm/node_modules/encoding": { - "version": "0.1.13", - "dev": true, - "inBundle": true, - "license": "MIT", - "optional": true, - "dependencies": { - "iconv-lite": "^0.6.2" - } - }, "node_modules/npm/node_modules/env-paths": { "version": "2.2.1", "dev": true, @@ -13447,17 +13885,17 @@ } }, "node_modules/npm/node_modules/glob": { - "version": "13.0.0", + "version": "13.0.6", "dev": true, "inBundle": true, "license": "BlueOak-1.0.0", "dependencies": { - "minimatch": "^10.1.1", - "minipass": "^7.1.2", - "path-scurry": "^2.0.0" + "minimatch": "^10.2.2", + "minipass": "^7.1.3", + "path-scurry": "^2.0.2" }, "engines": { - "node": "20 || >=22" + "node": "18 || 20 || >=22" }, "funding": { "url": "https://github.com/sponsors/isaacs" @@ -13514,7 +13952,7 @@ } }, "node_modules/npm/node_modules/iconv-lite": { - "version": "0.6.3", + "version": "0.7.2", "dev": true, "inBundle": true, "license": "MIT", @@ -13524,6 +13962,10 @@ }, "engines": { "node": ">=0.10.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/express" } }, "node_modules/npm/node_modules/ignore-walk": { @@ -13557,7 +13999,7 @@ } }, "node_modules/npm/node_modules/init-package-json": { - "version": "8.2.4", + "version": "8.2.5", "dev": true, "inBundle": true, "license": "ISC", @@ -13567,7 +14009,6 @@ "promzard": "^3.0.1", "read": "^5.0.1", "semver": "^7.7.2", - "validate-npm-package-license": "^3.0.4", "validate-npm-package-name": "^7.0.0" }, "engines": { @@ -13575,7 +14016,7 @@ } }, "node_modules/npm/node_modules/ip-address": { - "version": "10.0.1", + "version": "10.1.0", "dev": true, "inBundle": true, "license": "MIT", @@ -13583,46 +14024,25 @@ "node": ">= 12" } }, - "node_modules/npm/node_modules/ip-regex": { - "version": "5.0.0", - "dev": true, - "inBundle": true, - "license": "MIT", - "engines": { - "node": "^12.20.0 || ^14.13.1 || >=16.0.0" - }, - "funding": { - "url": "https://github.com/sponsors/sindresorhus" - } - }, "node_modules/npm/node_modules/is-cidr": { - "version": "6.0.1", + "version": "6.0.3", "dev": true, "inBundle": true, "license": "BSD-2-Clause", "dependencies": { - "cidr-regex": "5.0.1" + "cidr-regex": "^5.0.1" }, "engines": { "node": ">=20" } }, - "node_modules/npm/node_modules/is-fullwidth-code-point": { - "version": "3.0.0", - "dev": true, - "inBundle": true, - "license": "MIT", - "engines": { - "node": ">=8" - } - }, "node_modules/npm/node_modules/isexe": { - "version": "3.1.1", + "version": "4.0.0", "dev": true, "inBundle": true, - "license": "ISC", + "license": "BlueOak-1.0.0", "engines": { - "node": ">=16" + "node": ">=20" } }, "node_modules/npm/node_modules/json-parse-even-better-errors": { @@ -13678,12 +14098,12 @@ } }, "node_modules/npm/node_modules/libnpmdiff": { - "version": "8.0.11", + "version": "8.1.4", "dev": true, "inBundle": true, "license": "ISC", "dependencies": { - "@npmcli/arborist": "^9.1.8", + "@npmcli/arborist": "^9.4.1", "@npmcli/installed-package-contents": "^4.0.0", "binary-extensions": "^3.0.0", "diff": "^8.0.2", @@ -13697,19 +14117,19 @@ } }, "node_modules/npm/node_modules/libnpmexec": { - "version": "10.1.10", + "version": "10.2.4", "dev": true, "inBundle": true, "license": "ISC", "dependencies": { - "@npmcli/arborist": "^9.1.8", + "@gar/promise-retry": "^1.0.0", + "@npmcli/arborist": "^9.4.1", "@npmcli/package-json": "^7.0.0", "@npmcli/run-script": "^10.0.0", "ci-info": "^4.0.0", "npm-package-arg": "^13.0.0", "pacote": "^21.0.2", "proc-log": "^6.0.0", - "promise-retry": "^2.0.1", "read": "^5.0.1", "semver": "^7.3.7", "signal-exit": "^4.1.0", @@ -13720,12 +14140,12 @@ } }, "node_modules/npm/node_modules/libnpmfund": { - "version": "7.0.11", + "version": "7.0.18", "dev": true, "inBundle": true, "license": "ISC", "dependencies": { - "@npmcli/arborist": "^9.1.8" + "@npmcli/arborist": "^9.4.1" }, "engines": { "node": "^20.17.0 || >=22.9.0" @@ -13745,12 +14165,12 @@ } }, "node_modules/npm/node_modules/libnpmpack": { - "version": "9.0.11", + "version": "9.1.4", "dev": true, "inBundle": true, "license": "ISC", "dependencies": { - "@npmcli/arborist": "^9.1.8", + "@npmcli/arborist": "^9.4.1", "@npmcli/run-script": "^10.0.0", "npm-package-arg": "^13.0.0", "pacote": "^21.0.2" @@ -13820,20 +14240,21 @@ } }, "node_modules/npm/node_modules/lru-cache": { - "version": "11.2.2", + "version": "11.2.6", "dev": true, "inBundle": true, - "license": "ISC", + "license": "BlueOak-1.0.0", "engines": { "node": "20 || >=22" } }, "node_modules/npm/node_modules/make-fetch-happen": { - "version": "15.0.3", + "version": "15.0.4", "dev": true, "inBundle": true, "license": "ISC", "dependencies": { + "@gar/promise-retry": "^1.0.0", "@npmcli/agent": "^4.0.0", "cacache": "^20.0.1", "http-cache-semantics": "^4.1.1", @@ -13843,7 +14264,6 @@ "minipass-pipeline": "^1.2.4", "negotiator": "^1.0.0", "proc-log": "^6.0.0", - "promise-retry": "^2.0.1", "ssri": "^13.0.0" }, "engines": { @@ -13851,25 +14271,25 @@ } }, "node_modules/npm/node_modules/minimatch": { - "version": "10.1.1", + "version": "10.2.4", "dev": true, "inBundle": true, "license": "BlueOak-1.0.0", "dependencies": { - "@isaacs/brace-expansion": "^5.0.0" + "brace-expansion": "^5.0.2" }, "engines": { - "node": "20 || >=22" + "node": "18 || 20 || >=22" }, "funding": { "url": "https://github.com/sponsors/isaacs" } }, "node_modules/npm/node_modules/minipass": { - "version": "7.1.2", + "version": "7.1.3", "dev": true, "inBundle": true, - "license": "ISC", + "license": "BlueOak-1.0.0", "engines": { "node": ">=16 || 14 >=14.17" } @@ -13887,20 +14307,20 @@ } }, "node_modules/npm/node_modules/minipass-fetch": { - "version": "5.0.0", + "version": "5.0.2", "dev": true, "inBundle": true, "license": "MIT", "dependencies": { "minipass": "^7.0.3", - "minipass-sized": "^1.0.3", + "minipass-sized": "^2.0.0", "minizlib": "^3.0.1" }, "engines": { "node": "^20.17.0 || >=22.9.0" }, "optionalDependencies": { - "encoding": "^0.1.13" + "iconv-lite": "^0.7.2" } }, "node_modules/npm/node_modules/minipass-flush": { @@ -13927,6 +14347,12 @@ "node": ">=8" } }, + "node_modules/npm/node_modules/minipass-flush/node_modules/yallist": { + "version": "4.0.0", + "dev": true, + "inBundle": true, + "license": "ISC" + }, "node_modules/npm/node_modules/minipass-pipeline": { "version": "1.2.4", "dev": true, @@ -13951,25 +14377,19 @@ "node": ">=8" } }, - "node_modules/npm/node_modules/minipass-sized": { - "version": "1.0.3", + "node_modules/npm/node_modules/minipass-pipeline/node_modules/yallist": { + "version": "4.0.0", "dev": true, "inBundle": true, - "license": "ISC", - "dependencies": { - "minipass": "^3.0.0" - }, - "engines": { - "node": ">=8" - } + "license": "ISC" }, - "node_modules/npm/node_modules/minipass-sized/node_modules/minipass": { - "version": "3.3.6", + "node_modules/npm/node_modules/minipass-sized": { + "version": "2.0.0", "dev": true, "inBundle": true, "license": "ISC", "dependencies": { - "yallist": "^4.0.0" + "minipass": "^7.1.2" }, "engines": { "node": ">=8" @@ -14012,7 +14432,7 @@ } }, "node_modules/npm/node_modules/node-gyp": { - "version": "12.1.0", + "version": "12.2.0", "dev": true, "inBundle": true, "license": "MIT", @@ -14024,7 +14444,7 @@ "nopt": "^9.0.0", "proc-log": "^6.0.0", "semver": "^7.3.5", - "tar": "^7.5.2", + "tar": "^7.5.4", "tinyglobby": "^0.2.12", "which": "^6.0.0" }, @@ -14108,7 +14528,7 @@ } }, "node_modules/npm/node_modules/npm-packlist": { - "version": "10.0.3", + "version": "10.0.4", "dev": true, "inBundle": true, "license": "ISC", @@ -14189,11 +14609,12 @@ } }, "node_modules/npm/node_modules/pacote": { - "version": "21.0.4", + "version": "21.5.0", "dev": true, "inBundle": true, "license": "ISC", "dependencies": { + "@gar/promise-retry": "^1.0.0", "@npmcli/git": "^7.0.0", "@npmcli/installed-package-contents": "^4.0.0", "@npmcli/package-json": "^7.0.0", @@ -14207,7 +14628,6 @@ "npm-pick-manifest": "^11.0.1", "npm-registry-fetch": "^19.0.0", "proc-log": "^6.0.0", - "promise-retry": "^2.0.1", "sigstore": "^4.0.0", "ssri": "^13.0.0", "tar": "^7.4.3" @@ -14234,7 +14654,7 @@ } }, "node_modules/npm/node_modules/path-scurry": { - "version": "2.0.0", + "version": "2.0.2", "dev": true, "inBundle": true, "license": "BlueOak-1.0.0", @@ -14243,14 +14663,14 @@ "minipass": "^7.1.2" }, "engines": { - "node": "20 || >=22" + "node": "18 || 20 || >=22" }, "funding": { "url": "https://github.com/sponsors/isaacs" } }, "node_modules/npm/node_modules/postcss-selector-parser": { - "version": "7.1.0", + "version": "7.1.1", "dev": true, "inBundle": true, "license": "MIT", @@ -14369,7 +14789,7 @@ "optional": true }, "node_modules/npm/node_modules/semver": { - "version": "7.7.3", + "version": "7.7.4", "dev": true, "inBundle": true, "license": "ISC", @@ -14393,17 +14813,17 @@ } }, "node_modules/npm/node_modules/sigstore": { - "version": "4.0.0", + "version": "4.1.0", "dev": true, "inBundle": true, "license": "Apache-2.0", "dependencies": { "@sigstore/bundle": "^4.0.0", - "@sigstore/core": "^3.0.0", + "@sigstore/core": "^3.1.0", "@sigstore/protobuf-specs": "^0.5.0", - "@sigstore/sign": "^4.0.0", - "@sigstore/tuf": "^4.0.0", - "@sigstore/verify": "^3.0.0" + "@sigstore/sign": "^4.1.0", + "@sigstore/tuf": "^4.0.1", + "@sigstore/verify": "^3.1.0" }, "engines": { "node": "^20.17.0 || >=22.9.0" @@ -14447,26 +14867,6 @@ "node": ">= 14" } }, - "node_modules/npm/node_modules/spdx-correct": { - "version": "3.2.0", - "dev": true, - "inBundle": true, - "license": "Apache-2.0", - "dependencies": { - "spdx-expression-parse": "^3.0.0", - "spdx-license-ids": "^3.0.0" - } - }, - "node_modules/npm/node_modules/spdx-correct/node_modules/spdx-expression-parse": { - "version": "3.0.1", - "dev": true, - "inBundle": true, - "license": "MIT", - "dependencies": { - "spdx-exceptions": "^2.1.0", - "spdx-license-ids": "^3.0.0" - } - }, "node_modules/npm/node_modules/spdx-exceptions": { "version": "2.5.0", "dev": true, @@ -14484,13 +14884,13 @@ } }, "node_modules/npm/node_modules/spdx-license-ids": { - "version": "3.0.22", + "version": "3.0.23", "dev": true, "inBundle": true, "license": "CC0-1.0" }, "node_modules/npm/node_modules/ssri": { - "version": "13.0.0", + "version": "13.0.1", "dev": true, "inBundle": true, "license": "ISC", @@ -14501,32 +14901,6 @@ "node": "^20.17.0 || >=22.9.0" } }, - "node_modules/npm/node_modules/string-width": { - "version": "4.2.3", - "dev": true, - "inBundle": true, - "license": "MIT", - "dependencies": { - "emoji-regex": "^8.0.0", - "is-fullwidth-code-point": "^3.0.0", - "strip-ansi": "^6.0.1" - }, - "engines": { - "node": ">=8" - } - }, - "node_modules/npm/node_modules/strip-ansi": { - "version": "6.0.1", - "dev": true, - "inBundle": true, - "license": "MIT", - "dependencies": { - "ansi-regex": "^5.0.1" - }, - "engines": { - "node": ">=8" - } - }, "node_modules/npm/node_modules/supports-color": { "version": "10.2.2", "dev": true, @@ -14540,7 +14914,7 @@ } }, "node_modules/npm/node_modules/tar": { - "version": "7.5.2", + "version": "7.5.11", "dev": true, "inBundle": true, "license": "BlueOak-1.0.0", @@ -14555,15 +14929,6 @@ "node": ">=18" } }, - "node_modules/npm/node_modules/tar/node_modules/yallist": { - "version": "5.0.0", - "dev": true, - "inBundle": true, - "license": "BlueOak-1.0.0", - "engines": { - "node": ">=18" - } - }, "node_modules/npm/node_modules/text-table": { "version": "0.2.0", "dev": true, @@ -14631,14 +14996,14 @@ } }, "node_modules/npm/node_modules/tuf-js": { - "version": "4.0.0", + "version": "4.1.0", "dev": true, "inBundle": true, "license": "MIT", "dependencies": { - "@tufjs/models": "4.0.0", - "debug": "^4.4.1", - "make-fetch-happen": "^15.0.0" + "@tufjs/models": "4.1.0", + "debug": "^4.4.3", + "make-fetch-happen": "^15.0.1" }, "engines": { "node": "^20.17.0 || >=22.9.0" @@ -14674,28 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"node": ">=12" } }, + "node_modules/yargs/node_modules/ansi-regex": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz", + "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==", + "license": "MIT", + "engines": { + "node": ">=8" + } + }, + "node_modules/yargs/node_modules/emoji-regex": { + "version": "8.0.0", + "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", + "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==", + "license": "MIT" + }, + "node_modules/yargs/node_modules/is-fullwidth-code-point": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-3.0.0.tgz", + "integrity": "sha512-zymm5+u+sCsSWyD9qNaejV3DFvhCKclKdizYaJUuHA83RLjb7nSuGnddCHGv0hk+KY7BMAlsWeK4Ueg6EV6XQg==", + "license": "MIT", + "engines": { + "node": ">=8" + } + }, + "node_modules/yargs/node_modules/string-width": { + "version": "4.2.3", + "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz", + "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==", + "license": "MIT", + "dependencies": { + "emoji-regex": "^8.0.0", + "is-fullwidth-code-point": "^3.0.0", + "strip-ansi": "^6.0.1" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/yargs/node_modules/strip-ansi": { + "version": "6.0.1", + "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz", + "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==", + "license": "MIT", + "dependencies": { + "ansi-regex": "^5.0.1" + }, + "engines": { + "node": ">=8" + } + }, "node_modules/yauzl": { "version": "2.10.0", "resolved": "https://registry.npmjs.org/yauzl/-/yauzl-2.10.0.tgz", @@ -20340,10 +20268,23 @@ "fd-slicer": "~1.1.0" } }, + "node_modules/yocto-queue": { + "version": "0.1.0", + "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", + "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, "node_modules/yoctocolors": { - "version": "2.1.1", - "resolved": "https://registry.npmjs.org/yoctocolors/-/yoctocolors-2.1.1.tgz", - "integrity": "sha512-GQHQqAopRhwU8Kt1DDM8NjibDXHC8eoh1erhGAJPEyveY9qqVeXvVikNKrDz69sHowPMorbPUrH/mx8c50eiBQ==", + "version": "2.1.2", + "resolved": "https://registry.npmjs.org/yoctocolors/-/yoctocolors-2.1.2.tgz", + "integrity": "sha512-CzhO+pFNo8ajLM2d2IW/R93ipy99LWjtwblvC1RsoSUMZgyLbYFr221TnSNT7GjGdYui6P459mw9JH/g/zW2ug==", "license": "MIT", "engines": { "node": ">=18" diff --git a/package.json b/package.json index 8bc394b4..1ca551da 100644 --- a/package.json +++ b/package.json @@ -145,7 +145,7 @@ "@resvg/resvg-js": "^2.6.2", "@semantic-release/exec": "^7.1.0", "@semantic-release/github": "^12.0.6", - "@semantic-release/npm": "^13.1.4", + "@semantic-release/npm": "^13.1.5", "@shikijs/vitepress-twoslash": "^3.22.0", "@stylistic/eslint-plugin": "^5.8.0", "@types/async-retry": "^1.4.9", @@ -158,8 +158,8 @@ "@types/validate-npm-package-name": "^4.0.2", "@types/which": "^3.0.4", "@types/yargs": "^17.0.33", - "@vitest/coverage-v8": "^4.0.18", - "@vitest/ui": "^4.0.18", + "@vitest/coverage-v8": "^4.1.0", + "@vitest/ui": "^4.1.0", "electron": "^40.4.1", "eslint": "^9.39.2", "eslint-import-resolver-typescript": "^4.4.4", @@ -179,14 +179,14 @@ "typedoc-vitepress-theme": "^1.1.2", "typescript": "^5.9.3", "typescript-eslint": "^8.56.0", - "vite-node": "^5.3.0", + "vite-node": "^6.0.0", "vitepress": "^1.6.4", "vitepress-plugin-llms": "^1.11.0", - "vitest": "^4.0.18", + "vitest": "^4.1.0", "zx": "^8.8.5" }, "dependencies": { - "@huggingface/jinja": "^0.5.5", + "@huggingface/jinja": "^0.5.6", "async-retry": "^1.3.3", "bytes": "^3.1.2", "chalk": "^5.6.2", @@ -195,22 +195,22 @@ "cross-spawn": "^7.0.6", "env-var": "^7.5.0", "filenamify": "^6.0.0", - "fs-extra": "^11.3.0", + "fs-extra": "^11.3.4", "ignore": "^7.0.4", "ipull": "^3.9.5", "is-unicode-supported": "^2.1.0", "lifecycle-utils": "^3.1.1", "log-symbols": "^7.0.1", "nanoid": "^5.1.6", - "node-addon-api": "^8.5.0", + "node-addon-api": "^8.6.0", "ora": "^9.3.0", "pretty-ms": "^9.3.0", "proper-lockfile": "^4.1.2", "semver": "^7.7.1", - "simple-git": "^3.32.2", + "simple-git": "^3.33.0", "slice-ansi": "^8.0.0", "stdout-update": "^4.0.1", - "strip-ansi": "^7.1.2", + "strip-ansi": "^7.2.0", "validate-npm-package-name": "^7.0.2", "which": "^6.0.1", "yargs": "^17.7.2" diff --git a/src/bindings/AddonTypes.ts b/src/bindings/AddonTypes.ts index df45a004..9fbada1d 100644 --- a/src/bindings/AddonTypes.ts +++ b/src/bindings/AddonTypes.ts @@ -34,6 +34,9 @@ export type BindingModule = { swaFullCache?: boolean }): AddonContext }, + AddonContextSequenceCheckpoint: { + new (): AddonContextSequenceCheckpoint + }, AddonGrammar: { new (grammarPath: string, params?: { addonExports?: BindingModule, @@ -159,7 +162,18 @@ export type AddonContext = { ensureDraftContextIsCompatibleForSpeculative(draftContext: AddonContext): void, saveSequenceStateToFile(filePath: string, sequenceId: number, tokens: Uint32Array): Promise, loadSequenceStateFromFile(filePath: string, sequenceId: number, maxContextSize: number): Promise, - setLoras(loras: AddonModelLora[], scales: number[]): void + setLoras(loras: AddonModelLora[], scales: number[]): void, + + restoreCheckpoint(checkpoint: AddonContextSequenceCheckpoint, maxPosIndex: number): Promise +}; + +export type AddonContextSequenceCheckpoint = { + init(context: AddonContext, sequenceId: number): Promise, + dispose(): void, + + get size(): number, + get minPos(): number, + get maxPos(): number }; export type BatchLogitIndex = number & { diff --git a/src/bindings/Llama.ts b/src/bindings/Llama.ts index 4d3615f6..eee3ada6 100644 --- a/src/bindings/Llama.ts +++ b/src/bindings/Llama.ts @@ -10,6 +10,7 @@ import {LlamaJsonSchemaGrammar} from "../evaluator/LlamaJsonSchemaGrammar.js"; import {LlamaGrammar, LlamaGrammarOptions} from "../evaluator/LlamaGrammar.js"; import {ThreadsSplitter} from "../utils/ThreadsSplitter.js"; import {getLlamaClasses, LlamaClasses} from "../utils/getLlamaClasses.js"; +import {getTempDir, FsPathHandle} from "../utils/getTempDir.js"; import {BindingModule} from "./AddonTypes.js"; import { BuildGpu, BuildMetadataFile, LlamaGpuType, LlamaLocks, LlamaLogLevel, @@ -46,6 +47,8 @@ export class Llama { /** @internal */ public readonly _swapOrchestrator: MemoryOrchestrator; /** @internal */ public readonly _debug: boolean; /** @internal */ public readonly _threadsSplitter: ThreadsSplitter; + /** @internal */ public readonly _tempDir?: FsPathHandle; + /** @internal */ private _tempDirNextId: number = 0; /** @internal */ public _hadErrorLogs: boolean = false; /** @internal */ private readonly _gpu: LlamaGpuType; /** @internal */ private readonly _numa: LlamaNuma; @@ -74,7 +77,7 @@ export class Llama { public readonly onDispose = new EventRelay(); private constructor({ - bindings, bindingPath, extBackendsPath, logLevel, logger, buildType, cmakeOptions, llamaCppRelease, debug, numa, buildGpu, + bindings, bindingPath, extBackendsPath, logLevel, logger, buildType, cmakeOptions, llamaCppRelease, debug, tempDir, numa, buildGpu, maxThreads, vramOrchestrator, vramPadding, ramOrchestrator, ramPadding, swapOrchestrator, skipLlamaInit }: { bindings: BindingModule, @@ -89,6 +92,7 @@ export class Llama { release: string }, debug: boolean, + tempDir?: FsPathHandle, numa?: LlamaNuma, buildGpu: BuildGpu, maxThreads?: number, @@ -104,6 +108,7 @@ export class Llama { this._bindings = bindings; this._debug = debug; + this._tempDir = tempDir; this._numa = numa ?? false; this._logLevel = this._debug ? LlamaLogLevel.debug @@ -175,6 +180,7 @@ export class Llama { this.onDispose.dispatchEvent(); await this._backendDisposeGuard.acquireDisposeLock(); await this._bindings.dispose(); + await this._tempDir?.dispose(); process.off("beforeExit", this._onBeforeExit); unregisterDisposeBeforeExit(this._selfWeakRef); @@ -413,6 +419,15 @@ export class Llama { this._onAddonLog(LlamaLogLevelToAddonLogLevel.get(level) ?? defaultLogLevel, message + "\n"); } + /** @internal */ + public _createTempFilePath() { + if (this._tempDir == null) + return undefined; + + const fileId = this._tempDirNextId++; + return new FsPathHandle(path.join(this._tempDir.path, fileId + ".nlc")); + } + /** @internal */ private _onAddonLog(level: number, message: string) { const llamaLogLevel = addonLogLevelToLlamaLogLevel.get(level) ?? LlamaLogLevel.fatal; @@ -507,7 +522,7 @@ export class Llama { /** @internal */ public static async _create({ bindings, bindingPath, extBackendsPath, buildType, buildMetadata, logLevel, logger, vramPadding, ramPadding, maxThreads, - skipLlamaInit = false, debug, numa + skipLlamaInit = false, debug, numa, tempDir }: { bindings: BindingModule, bindingPath: string, @@ -521,7 +536,8 @@ export class Llama { ramPadding: number | ((totalRam: number) => number), skipLlamaInit?: boolean, debug: boolean, - numa?: LlamaNuma + numa?: LlamaNuma, + tempDir?: string | string[] | false }) { const vramOrchestrator = new MemoryOrchestrator(() => { const {total, used, unifiedSize} = bindings.getGpuVramInfo(); @@ -566,6 +582,14 @@ export class Llama { else resolvedRamPadding = ramOrchestrator.reserveMemory(ramPadding); + const resolvedTempDir = tempDir === false + ? undefined + : await getTempDir( + typeof tempDir === "string" + ? [tempDir] + : tempDir + ); + const llama = new Llama({ bindings, bindingPath, @@ -579,6 +603,7 @@ export class Llama { logLevel, logger, debug, + tempDir: resolvedTempDir, numa, buildGpu: buildMetadata.buildOptions.gpu, vramOrchestrator, diff --git a/src/bindings/getLlama.ts b/src/bindings/getLlama.ts index e1b49753..f9c900fe 100644 --- a/src/bindings/getLlama.ts +++ b/src/bindings/getLlama.ts @@ -208,7 +208,27 @@ export type LlamaOptions = { * * Defaults to `false` (no NUMA policy). */ - numa?: LlamaNuma + numa?: LlamaNuma, + + /** + * A list of directories to use for internal cache to speed up processes and reduce memory usage. + * Cache created by this process will be automatically cleaned up when it's no longer needed, + * on process exit, and on the disposal of the Llama instance. + * + * The first directory that is writable from this list will be used. + * + * If no directories are provided or non are writable, these fallback will be used instead: + * - The directory of where `node-llama-cpp` is installed inside `node_modules`. + * - A `nlc.` prefixed directory under the OS's temp dir (e.g. `/tmp` on Linux). + * - A `.node-llama-cpp/.temp` directory under the home directory of the current user. + * + * To disable the usage of any temporary directory and caching, set this option to `false`. + * + * + * Hidden since currently unused - defaults to `false` for now + * @internal + */ + tempDir?: string | string[] | false }; export type LastBuildOptions = { @@ -318,7 +338,27 @@ export type LastBuildOptions = { * * Defaults to `false` (no NUMA policy). */ - numa?: LlamaNuma + numa?: LlamaNuma, + + /** + * A list of directories to use for internal cache to speed up processes and reduce memory usage. + * Cache created by this process will be automatically cleaned up when it's no longer needed, + * on process exit, and on the disposal of the Llama instance. + * + * The first directory that is writable from this list will be used. + * + * If no directories are provided or non are writable, these fallback will be used instead: + * - The directory of where `node-llama-cpp` is installed inside `node_modules`. + * - A `nlc.` prefixed directory under the OS's temp dir (e.g. `/tmp` on Linux). + * - A `.node-llama-cpp/.temp` directory under the home directory of the current user. + * + * To disable the usage of any temporary directory and caching, set this option to `false`. + * + * + * Hidden since currently unused - defaults to `false` for now + * @internal + */ + tempDir?: string | string[] | false }; export const getLlamaFunctionName = "getLlama"; @@ -335,6 +375,7 @@ export const defaultLlamaRamPadding = (totalRam: number) => { const defaultBuildOption: Exclude = runningInElectron ? "never" : "auto"; +const defaultTempDir: LlamaOptions["tempDir"] = false; /** * Get a `llama.cpp` binding. @@ -377,6 +418,7 @@ export async function getLlama(options?: LlamaOptions | "lastBuild", lastBuildOp ramPadding: lastBuildOptions?.ramPadding ?? defaultLlamaRamPadding, debug: lastBuildOptions?.debug ?? defaultLlamaCppDebugMode, numa: lastBuildOptions?.numa, + tempDir: lastBuildOptions?.tempDir ?? defaultTempDir, dryRun }; @@ -405,6 +447,7 @@ export async function getLlama(options?: LlamaOptions | "lastBuild", lastBuildOp ramPadding: lastBuildOptions?.ramPadding ?? defaultLlamaRamPadding, debug: lastBuildOptions?.debug ?? defaultLlamaCppDebugMode, numa: lastBuildOptions?.numa, + tempDir: lastBuildOptions?.tempDir ?? defaultTempDir, skipLlamaInit: dryRun }); @@ -440,6 +483,7 @@ export async function getLlamaForOptions({ ramPadding = defaultLlamaRamPadding, debug = defaultLlamaCppDebugMode, numa = false, + tempDir = defaultTempDir, dryRun = false }: LlamaOptions, { updateLastBuildInfoOnCompile = false, @@ -514,6 +558,7 @@ export async function getLlamaForOptions({ ramPadding, debug, numa, + tempDir, dryRun }); } catch (err) { @@ -532,6 +577,7 @@ export async function getLlamaForOptions({ ramPadding, debug, numa, + tempDir, dryRun }); } @@ -579,6 +625,7 @@ export async function getLlamaForOptions({ ), debug, numa, + tempDir, pipeBinaryTestErrorLogs }); @@ -614,7 +661,8 @@ export async function getLlamaForOptions({ ramPadding, skipLlamaInit, debug, - numa + numa, + tempDir }); } catch (err) { console.error( @@ -691,7 +739,8 @@ export async function getLlamaForOptions({ ramPadding, skipLlamaInit, debug, - numa + numa, + tempDir }); } catch (err) { console.error( @@ -737,6 +786,7 @@ async function loadExistingLlamaBinary({ fallbackMessage, debug, numa, + tempDir, pipeBinaryTestErrorLogs }: { buildOptions: BuildOptions, @@ -754,6 +804,7 @@ async function loadExistingLlamaBinary({ fallbackMessage: string | null, debug: boolean, numa?: LlamaNuma, + tempDir: LlamaOptions["tempDir"], pipeBinaryTestErrorLogs: boolean }) { const buildFolderName = await getBuildFolderNameForBuildOptions(buildOptions); @@ -791,7 +842,8 @@ async function loadExistingLlamaBinary({ ramPadding, skipLlamaInit, debug, - numa + numa, + tempDir }); } else if (progressLogs) { console.warn( @@ -857,7 +909,8 @@ async function loadExistingLlamaBinary({ ramPadding, skipLlamaInit, debug, - numa + numa, + tempDir }); } else if (progressLogs) { const binaryDescription = describeBinary({ @@ -913,7 +966,8 @@ async function buildAndLoadLlamaBinary({ ramPadding, skipLlamaInit, debug, - numa + numa, + tempDir }: { buildOptions: BuildOptions, skipDownload: boolean, @@ -925,7 +979,8 @@ async function buildAndLoadLlamaBinary({ ramPadding: Required["ramPadding"], skipLlamaInit: boolean, debug: boolean, - numa?: LlamaNuma + numa?: LlamaNuma, + tempDir: LlamaOptions["tempDir"] }) { const buildFolderName = await getBuildFolderNameForBuildOptions(buildOptions); @@ -960,7 +1015,8 @@ async function buildAndLoadLlamaBinary({ ramPadding, skipLlamaInit, debug, - numa + numa, + tempDir }); } diff --git a/src/bindings/utils/compileLLamaCpp.ts b/src/bindings/utils/compileLLamaCpp.ts index 3daaa721..6857890b 100644 --- a/src/bindings/utils/compileLLamaCpp.ts +++ b/src/bindings/utils/compileLLamaCpp.ts @@ -531,7 +531,21 @@ async function resolvePrebuiltBinaryPath(prebuiltBinaryDirectoryPath: string) { return null; } -function getPrebuiltBinariesPackageDirectoryForBuildOptions(buildOptions: BuildOptions) { +export async function checkWhetherPrebuiltBinariesModuleIsInstalled(gpu: BuildGpu) { + const prebuiltBinariesPaths = await getPrebuiltBinariesPackageDirectoryForBuildOptions({ + platform: getPlatform(), + arch: process.arch, + gpu + }); + + return prebuiltBinariesPaths != null; +} + +function getPrebuiltBinariesPackageDirectoryForBuildOptions(buildOptions: { + platform: BinaryPlatform, + arch: typeof process.arch, + gpu: BuildGpu +}) { async function getBinariesPathFromModules(moduleImport: () => Promise<{getBinsDir(): {binsDir: string, packageVersion: string}}>) { try { const [ diff --git a/src/bindings/utils/getLlamaGpuTypes.ts b/src/bindings/utils/getLlamaGpuTypes.ts index be67d607..897dce91 100644 --- a/src/bindings/utils/getLlamaGpuTypes.ts +++ b/src/bindings/utils/getLlamaGpuTypes.ts @@ -18,6 +18,9 @@ export async function getLlamaGpuTypes(include: "supported" | "allValid"): Promi const platform = getPlatform(); const arch = process.arch; + if (include == null) + include = "supported"; + if (include === "supported") { const gpuTypes = new Set(await getGpuTypesToUseForOption("auto")); diff --git a/src/chatWrappers/QwenChatWrapper.ts b/src/chatWrappers/QwenChatWrapper.ts index cd22b38c..cd34057c 100644 --- a/src/chatWrappers/QwenChatWrapper.ts +++ b/src/chatWrappers/QwenChatWrapper.ts @@ -11,10 +11,12 @@ import {ChatModelFunctionsDocumentationGenerator} from "./utils/ChatModelFunctio // source: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M/blob/main/tokenizer_config.json#L197 export class QwenChatWrapper extends ChatWrapper { public readonly wrapperName: string = "Qwen"; + public readonly variation: "3" | "3.5"; public readonly keepOnlyLastThought: boolean; public readonly thoughts: "auto" | "discourage"; /** @internal */ private readonly _flatFunctionResultString: boolean; + /** @internal */ private readonly _ensureModelThoughtBeforeTextOnLastResponse: boolean; public override readonly settings: ChatWrapperSettings; @@ -35,66 +37,118 @@ export class QwenChatWrapper extends ChatWrapper { */ thoughts?: "auto" | "discourage", + /** + * Chat template variation to use. + * + * Defaults to `"3"`. + */ + variation?: "3" | "3.5", + /** @internal */ _lineBreakBeforeFunctionCallPrefix?: boolean, /** @internal */ - _flatFunctionResultString?: boolean + _flatFunctionResultString?: boolean, + + /** @internal */ + _ensureModelThoughtBeforeTextOnLastResponse?: boolean } = {}) { super(); const { keepOnlyLastThought = true, thoughts = "auto", + variation = "3", _lineBreakBeforeFunctionCallPrefix = false, - _flatFunctionResultString = false + _flatFunctionResultString = false, + _ensureModelThoughtBeforeTextOnLastResponse = false } = options; this.keepOnlyLastThought = keepOnlyLastThought; this.thoughts = thoughts; + this.variation = variation; this._flatFunctionResultString = _flatFunctionResultString; + this._ensureModelThoughtBeforeTextOnLastResponse = _ensureModelThoughtBeforeTextOnLastResponse; - this.settings = { - supportsSystemMessages: true, - functions: { - call: { - optionalPrefixSpace: true, - prefix: LlamaText([ - _lineBreakBeforeFunctionCallPrefix - ? "\n" - : "", - new SpecialTokensText(""), '\n{"name": "' - ]), - paramsPrefix: '", "arguments": ', - suffix: LlamaText("}\n", new SpecialTokensText("")), - emptyCallParamsPlaceholder: {} - }, - result: { - prefix: LlamaText(new SpecialTokensText("\n\n")), - suffix: LlamaText(new SpecialTokensText("\n")) - }, - parallelism: { + if (variation === "3") + this.settings = { + supportsSystemMessages: true, + functions: { call: { - sectionPrefix: "", - betweenCalls: _lineBreakBeforeFunctionCallPrefix - ? "" - : "\n", - sectionSuffix: LlamaText(new SpecialTokensText("<|im_end|>\n")) + optionalPrefixSpace: true, + prefix: LlamaText([ + _lineBreakBeforeFunctionCallPrefix + ? "\n" + : "", + new SpecialTokensText(""), '\n{"name": "' + ]), + paramsPrefix: '", "arguments": ', + suffix: LlamaText("}\n", new SpecialTokensText("")), + emptyCallParamsPlaceholder: {} }, result: { - sectionPrefix: LlamaText(new SpecialTokensText("<|im_start|>user")), - sectionSuffix: LlamaText(new SpecialTokensText("<|im_end|>\n<|im_start|>assistant\n")) + prefix: LlamaText(new SpecialTokensText("\n\n")), + suffix: LlamaText(new SpecialTokensText("\n")) + }, + parallelism: { + call: { + sectionPrefix: "", + betweenCalls: _lineBreakBeforeFunctionCallPrefix + ? "" + : "\n", + sectionSuffix: LlamaText(new SpecialTokensText("<|im_end|>\n")) + }, + result: { + sectionPrefix: LlamaText(new SpecialTokensText("<|im_start|>user")), + sectionSuffix: LlamaText(new SpecialTokensText("<|im_end|>\n<|im_start|>assistant\n")) + } + } + }, + segments: { + reiterateStackAfterFunctionCalls: true, + thought: { + prefix: LlamaText(new SpecialTokensText("\n")), + suffix: LlamaText(new SpecialTokensText("\n")) } } - }, - segments: { - reiterateStackAfterFunctionCalls: true, - thought: { - prefix: LlamaText(new SpecialTokensText("\n")), - suffix: LlamaText(new SpecialTokensText("\n")) + }; + else + this.settings = { + supportsSystemMessages: true, + functions: { + call: { + optionalPrefixSpace: true, + prefix: LlamaText(new SpecialTokensText("\n\n\n", + suffix: LlamaText(new SpecialTokensText("\n\n\n")), + emptyCallParamsPlaceholder: {} + }, + result: { + prefix: LlamaText(new SpecialTokensText("\n\n")), + suffix: LlamaText(new SpecialTokensText("\n")) + }, + parallelism: { + call: { + sectionPrefix: _lineBreakBeforeFunctionCallPrefix + ? "\n\n" + : "", + betweenCalls: "\n", + sectionSuffix: LlamaText(new SpecialTokensText("<|im_end|>\n")) + }, + result: { + sectionPrefix: LlamaText(new SpecialTokensText("<|im_start|>user")), + sectionSuffix: LlamaText(new SpecialTokensText("<|im_end|>\n<|im_start|>assistant\n")) + } + } + }, + segments: { + reiterateStackAfterFunctionCalls: true, + thought: { + prefix: LlamaText(new SpecialTokensText("\n")), + suffix: LlamaText(new SpecialTokensText("\n")) + } } - } - }; + }; } public override generateContextState({ @@ -146,20 +200,35 @@ export class QwenChatWrapper extends ChatWrapper { } else if (item.type === "model") { flush(); - const transformedModelResponse = (this.thoughts === "discourage" && isLastItem) + let transformedModelResponse = (this.thoughts === "discourage" && isLastItem) ? discourageThoughtsInModelResponse(item.response) : item.response; + if (this.keepOnlyLastThought && !isLastItem) + transformedModelResponse = transformedModelResponse.filter((response) => ( + !isChatModelResponseSegment(response) || response.segmentType !== "thought" + )); + else if (isLastItem && this._ensureModelThoughtBeforeTextOnLastResponse) { + transformedModelResponse = transformedModelResponse.flatMap((response, index): ChatModelResponse["response"] => { + if (typeof response !== "string") + return [response]; + + const previousResponse = transformedModelResponse[index - 1]; + if (previousResponse != null && isChatModelResponseSegment(previousResponse) && previousResponse.segmentType === "thought") + return [response]; + + return [{ + type: "segment", + segmentType: "thought", + text: "", + ended: true, + raw: LlamaText(new SpecialTokensText("\n\n\n\n")).toJSON() + }, response]; + }); + } + currentAggregateFocus = null; - modelTexts.push( - this.generateModelResponseText( - (this.keepOnlyLastThought && !isLastItem) - ? transformedModelResponse.filter((response) => ( - !isChatModelResponseSegment(response) || response.segmentType !== "thought" - )) - : transformedModelResponse - ) - ); + modelTexts.push(this.generateModelResponseText(transformedModelResponse)); } else void (item satisfies never); } @@ -226,21 +295,61 @@ export class QwenChatWrapper extends ChatWrapper { if (!functionsDocumentationGenerator.hasAnyFunctions) return LlamaText([]); - return LlamaText.joinValues("\n", [ - "# Tools", - "", - "You may call one or more functions to assist with the user query.", - "", - LlamaText("You are provided with function signatures within ", new SpecialTokensText(""), " XML tags:"), - LlamaText(new SpecialTokensText("")), - functionsDocumentationGenerator.getQwenFunctionSignatures({documentParams}), - LlamaText(new SpecialTokensText("")), - "", - LlamaText("For each function call, return a json object with function name and arguments within ", new SpecialTokensText(""), " XML tags:"), - LlamaText(new SpecialTokensText("")), - '{"name": , "arguments": }', - LlamaText(new SpecialTokensText("")) - ]); + if (this.variation === "3") + return LlamaText.joinValues("\n", [ + "# Tools", + "", + "You may call one or more functions to assist with the user query.", + "", + LlamaText("You are provided with function signatures within ", new SpecialTokensText(""), " XML tags:"), + LlamaText(new SpecialTokensText("")), + functionsDocumentationGenerator.getQwenFunctionSignatures({documentParams}), + LlamaText(new SpecialTokensText("")), + "", + LlamaText("For each function call, return a json object with function name and arguments within ", new SpecialTokensText(""), " XML tags:"), + LlamaText(new SpecialTokensText("")), + '{"name": , "arguments": }', + LlamaText(new SpecialTokensText("")) + ]); + else + return LlamaText.joinValues("\n", [ + "# Tools", + "", + "You have access to the following functions:", + "", + LlamaText(new SpecialTokensText("")), + functionsDocumentationGenerator.getQwenFunctionSignatures({documentParams}), + LlamaText(new SpecialTokensText("")), + "", + LlamaText("If you choose to call a function ONLY reply in the following format with NO suffix:"), + "", + LlamaText(new SpecialTokensText("")), + LlamaText(new SpecialTokensText("")), + LlamaText(new SpecialTokensText("")), + "value_1", + LlamaText(new SpecialTokensText("")), + LlamaText(new SpecialTokensText("")), + "This is the value for the second parameter", + "that can span", + "multiple lines", + LlamaText(new SpecialTokensText("")), + LlamaText(new SpecialTokensText("")), + LlamaText(new SpecialTokensText("")), + "", + LlamaText(new SpecialTokensText("")), + "Reminder:", + LlamaText([ + "- Function calls MUST follow the specified format: an inner ", + new SpecialTokensText(""), + " block must be nested within ", + new SpecialTokensText(""), + " XML tags" + ]), + "- Required parameters MUST be specified", + "- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after", + "- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls", + LlamaText(new SpecialTokensText("")) + ]); } /** @internal */ @@ -254,7 +363,9 @@ export class QwenChatWrapper extends ChatWrapper { architecture === GgufArchitectureType.qwen3 || architecture === GgufArchitectureType.qwen3moe || architecture === GgufArchitectureType.qwen3vl || - architecture === GgufArchitectureType.qwen3vlmoe + architecture === GgufArchitectureType.qwen3vlmoe || + architecture === GgufArchitectureType.qwen35 || + architecture === GgufArchitectureType.qwen35moe ); } @@ -277,6 +388,27 @@ export class QwenChatWrapper extends ChatWrapper { {_flatFunctionResultString: true, thoughts: "discourage", _lineBreakBeforeFunctionCallPrefix: true}, {}, {_requireFunctionCallSettingsExtraction: true} + ], + + [ + {variation: "3.5"}, + {variation: "3.5"}, + {_requireFunctionCallSettingsExtraction: true, _functionCallExtractionExamineNonFirst: true} + ], + [ + {variation: "3.5", _lineBreakBeforeFunctionCallPrefix: true}, + {variation: "3.5"}, + {_requireFunctionCallSettingsExtraction: true, _functionCallExtractionExamineNonFirst: true} + ], + [ + {variation: "3.5", _ensureModelThoughtBeforeTextOnLastResponse: true, _lineBreakBeforeFunctionCallPrefix: true}, + {variation: "3.5"}, + {_requireFunctionCallSettingsExtraction: true, _functionCallExtractionExamineNonFirst: true} + ], + [ + {variation: "3.5", _ensureModelThoughtBeforeTextOnLastResponse: true}, + {variation: "3.5"}, + {_requireFunctionCallSettingsExtraction: true, _functionCallExtractionExamineNonFirst: true} ] ]; } diff --git a/src/chatWrappers/generic/JinjaTemplateChatWrapper.ts b/src/chatWrappers/generic/JinjaTemplateChatWrapper.ts index 6c41e2db..4d774c26 100644 --- a/src/chatWrappers/generic/JinjaTemplateChatWrapper.ts +++ b/src/chatWrappers/generic/JinjaTemplateChatWrapper.ts @@ -18,7 +18,9 @@ import { templateSegmentOptionsToChatWrapperSettings, TemplateChatWrapperSegmentsOptions } from "./utils/templateSegmentOptionsToChatWrapperSettings.js"; import {UniqueIdGenerator} from "./utils/UniqueIdGenerator.js"; -import {extractFunctionCallSettingsFromJinjaTemplate} from "./utils/extractFunctionCallSettingsFromJinjaTemplate.js"; +import { + detectNeedToWrapFunctionArgumentsWithMap, extractFunctionCallSettingsFromJinjaTemplate, ExtractFunctionCallSettingsRenderTemplate +} from "./utils/extractFunctionCallSettingsFromJinjaTemplate.js"; import {squashChatHistoryItems} from "./utils/squashChatHistoryItems.js"; import {extractSegmentSettingsFromTokenizerAndChatTemplate} from "./utils/extractSegmentSettingsFromTokenizerAndChatTemplate.js"; @@ -103,7 +105,10 @@ export type JinjaTemplateChatWrapperOptions = { tokenizer?: Tokenizer, /** @internal */ - _requireFunctionCallSettingsExtraction?: boolean + _requireFunctionCallSettingsExtraction?: boolean, + + /** @internal */ + _functionCallExtractionExamineNonFirst?: boolean }; export type JinjaTemplateChatWrapperOptionsConvertMessageFormat = { @@ -160,6 +165,7 @@ export class JinjaTemplateChatWrapper extends ChatWrapper { /** @internal */ private readonly _jinjaTemplate: Template; /** @internal */ private readonly _usingJinjaFunctionCallTemplate: boolean = false; /** @internal */ private readonly _stringifyFunctionParams: boolean = false; + /** @internal */ private readonly _wrapFunctionParamsInsideMapKey?: string; /** @internal */ private readonly _stringifyFunctionResult: boolean = false; /** @internal */ private readonly _combineJinjaModelMessageAndToolCalls: boolean = true; /** @internal */ private readonly _endJinjaMessagesWithUserMessage: boolean = false; @@ -182,7 +188,8 @@ export class JinjaTemplateChatWrapper extends ChatWrapper { additionalRenderParameters, segments, tokenizer, - _requireFunctionCallSettingsExtraction = false + _requireFunctionCallSettingsExtraction = false, + _functionCallExtractionExamineNonFirst = false } = options; if (template == null) @@ -228,112 +235,136 @@ export class JinjaTemplateChatWrapper extends ChatWrapper { ); if (functionCallSettings == null && functionCallMessageTemplate !== "noJinja") { try { - const idsGenerator = new UniqueIdGenerator( - this.template + this.modelRoleName + this.userRoleName + this.systemRoleName + - (this.convertUnsupportedSystemMessagesToUserMessages?.format ?? "") - ); - const extractedSettings = extractFunctionCallSettingsFromJinjaTemplate({ - idsGenerator, - renderTemplate: ({ - chatHistory, functions, additionalParams, stringifyFunctionParams, stringifyFunctionResults, - combineModelMessageAndToolCalls, squashModelTextResponses = true - }) => { - const render = ( - convertSystemMessagesToUserMessagesFormat: - JinjaTemplateChatWrapperOptionsConvertMessageFormat["format"] | undefined, - wipeFunctionCallIds: boolean | "align" - ) => { - const {messages: intermediateMessages, tools} = fromChatHistoryToIntermediateOpenAiMessages({ - chatHistory: this._transformChatHistory(chatHistory, { - convertSystemMessagesToUserMessagesFormat, - joinAdjacentMessagesOfTheSameType: !squashModelTextResponses - ? false - : undefined - }).transformedHistory, - chatWrapperSettings: this.settings, - useRawValues: false, - functions, - stringifyFunctionParams, - stringifyFunctionResults, - combineModelMessageAndToolCalls, - squashModelTextResponses + const renderTemplate: ExtractFunctionCallSettingsRenderTemplate = ({ + chatHistory, functions, additionalParams, stringifyFunctionParams, stringifyFunctionResults, + combineModelMessageAndToolCalls, squashModelTextResponses = true + }) => { + const render = ( + convertSystemMessagesToUserMessagesFormat: + JinjaTemplateChatWrapperOptionsConvertMessageFormat["format"] | undefined, + wipeFunctionCallIds: boolean | "align" + ) => { + let inputChatHistory = chatHistory; + if (this._wrapFunctionParamsInsideMapKey != null) + inputChatHistory = inputChatHistory.map((item) => { + if (item.type !== "model") + return item; + + return { + ...item, + response: item.response.map((response) => { + if (typeof response === "string" || response.type !== "functionCall") + return response; + + return { + ...response, + params: {[this._wrapFunctionParamsInsideMapKey!]: response.params} + }; + }) + }; }); - const messages = fromIntermediateToCompleteOpenAiMessages(intermediateMessages) - .map((item) => { - if (!wipeFunctionCallIds) - return item; - - if (item.role === "assistant" && item["tool_calls"] != null && item["tool_calls"].length > 0) { - for (const toolCall of item["tool_calls"]) { - if (wipeFunctionCallIds === "align") - toolCall.id = "fc_1_0001"; - else - delete (toolCall as {id?: string}).id; - } - } else if (item.role === "tool") { + const {messages: intermediateMessages, tools} = fromChatHistoryToIntermediateOpenAiMessages({ + chatHistory: this._transformChatHistory(inputChatHistory, { + convertSystemMessagesToUserMessagesFormat, + joinAdjacentMessagesOfTheSameType: !squashModelTextResponses + ? false + : undefined + }).transformedHistory, + chatWrapperSettings: this.settings, + useRawValues: false, + functions, + stringifyFunctionParams, + stringifyFunctionResults, + combineModelMessageAndToolCalls, + squashModelTextResponses + }); + + const messages = fromIntermediateToCompleteOpenAiMessages(intermediateMessages) + .map((item) => { + if (!wipeFunctionCallIds) + return item; + + if (item.role === "assistant" && item["tool_calls"] != null && item["tool_calls"].length > 0) { + for (const toolCall of item["tool_calls"]) { if (wipeFunctionCallIds === "align") - item["tool_call_id"] = "fc_1_0001"; + toolCall.id = "fc_1_0001"; else - delete (item as {"tool_call_id"?: string})["tool_call_id"]; + delete (toolCall as {id?: string}).id; } - - return item; - }); - - const lastJinjaItem = messages.at(-1); - let eraseRenderedJinjaFromId: string | undefined; - if (this._endJinjaMessagesWithUserMessage && lastJinjaItem?.role === this.modelRoleName && - typeof lastJinjaItem.content === "string" && - lastJinjaItem.content.length > 0 && - ( - (lastJinjaItem as OpenAiChatAssistantMessage)["tool_calls"] == null || - (lastJinjaItem as OpenAiChatAssistantMessage)["tool_calls"]?.length === 0 - ) - ) { - eraseRenderedJinjaFromId = lastJinjaItem.content; - messages.push({ - role: this.userRoleName, - content: idsGenerator.generateId() - } as OpenAiChatMessage); - } - - let res = this._jinjaTemplate.render({ - ...( - this.additionalRenderParameters == null - ? {} - : structuredClone(this.additionalRenderParameters) - ), - ...additionalParams, - messages, - ...removeUndefinedFields({tools}) + } else if (item.role === "tool") { + if (wipeFunctionCallIds === "align") + item["tool_call_id"] = "fc_1_0001"; + else + delete (item as {"tool_call_id"?: string})["tool_call_id"]; + } + + return item; }); - if (eraseRenderedJinjaFromId != null) { - const eraseIndex = res.lastIndexOf(eraseRenderedJinjaFromId); - if (eraseIndex >= 0) - res = res.slice(0, eraseIndex + eraseRenderedJinjaFromId.length); - } - - // attempt to remove the ID pattern from the output - if (wipeFunctionCallIds === "align") - res = res - .replaceAll(/,\s*"(tool_call_id|call_id|id)":\s*"fc_1_0001"/g, "") - .replaceAll(/"(tool_call_id|call_id|id)":\s*"fc_1_0001"\s*,/g, ""); - - return res; - }; - - return tryMatrix({ - convertSystemMessagesToUserMessagesFormat: - getConvertUnsupportedSystemMessagesToUserMessagesTryOptions( - this.convertUnsupportedSystemMessagesToUserMessages - ), - wipeFunctionCallIds: [true, "align", false] - }, ({convertSystemMessagesToUserMessagesFormat, wipeFunctionCallIds}) => { - return render(convertSystemMessagesToUserMessagesFormat, wipeFunctionCallIds); + const lastJinjaItem = messages.at(-1); + let eraseRenderedJinjaFromId: string | undefined; + if (this._endJinjaMessagesWithUserMessage && lastJinjaItem?.role === this.modelRoleName && + typeof lastJinjaItem.content === "string" && + lastJinjaItem.content.length > 0 && + ( + (lastJinjaItem as OpenAiChatAssistantMessage)["tool_calls"] == null || + (lastJinjaItem as OpenAiChatAssistantMessage)["tool_calls"]?.length === 0 + ) + ) { + eraseRenderedJinjaFromId = lastJinjaItem.content; + messages.push({ + role: this.userRoleName, + content: idsGenerator.generateId() + } as OpenAiChatMessage); + } + + let res = this._jinjaTemplate.render({ + ...( + this.additionalRenderParameters == null + ? {} + : structuredClone(this.additionalRenderParameters) + ), + ...additionalParams, + messages, + ...removeUndefinedFields({tools}) }); - } + + if (eraseRenderedJinjaFromId != null) { + const eraseIndex = res.lastIndexOf(eraseRenderedJinjaFromId); + if (eraseIndex >= 0) + res = res.slice(0, eraseIndex + eraseRenderedJinjaFromId.length); + } + + // attempt to remove the ID pattern from the output + if (wipeFunctionCallIds === "align") + res = res + .replaceAll(/,\s*"(tool_call_id|call_id|id)":\s*"fc_1_0001"/g, "") + .replaceAll(/"(tool_call_id|call_id|id)":\s*"fc_1_0001"\s*,/g, ""); + + return res; + }; + + return tryMatrix({ + convertSystemMessagesToUserMessagesFormat: + getConvertUnsupportedSystemMessagesToUserMessagesTryOptions( + this.convertUnsupportedSystemMessagesToUserMessages + ), + wipeFunctionCallIds: [true, "align", false] + }, ({convertSystemMessagesToUserMessagesFormat, wipeFunctionCallIds}) => { + return render(convertSystemMessagesToUserMessagesFormat, wipeFunctionCallIds); + }); + }; + const idsGenerator = new UniqueIdGenerator( + this.template + this.modelRoleName + this.userRoleName + this.systemRoleName + + (this.convertUnsupportedSystemMessagesToUserMessages?.format ?? "") + ); + + this._wrapFunctionParamsInsideMapKey = detectNeedToWrapFunctionArgumentsWithMap({idsGenerator, renderTemplate}); + const extractedSettings = extractFunctionCallSettingsFromJinjaTemplate({ + idsGenerator, + renderTemplate, + examineNonFirstFunctionCall: _functionCallExtractionExamineNonFirst }); functionCallSettings = extractedSettings.settings; @@ -551,8 +582,27 @@ export class JinjaTemplateChatWrapper extends ChatWrapper { }), tools: undefined }); - const generateMessagesWithTools = (chatHistory: readonly ChatHistoryItem[]) => ( - fromChatHistoryToIntermediateOpenAiMessages({ + const generateMessagesWithTools = (chatHistory: readonly ChatHistoryItem[]) => { + if (this._wrapFunctionParamsInsideMapKey != null) + chatHistory = chatHistory.map((item) => { + if (item.type !== "model") + return item; + + return { + ...item, + response: item.response.map((response) => { + if (typeof response === "string" || response.type !== "functionCall") + return response; + + return { + ...response, + params: {[this._wrapFunctionParamsInsideMapKey!]: response.params} + }; + }) + }; + }); + + return fromChatHistoryToIntermediateOpenAiMessages({ chatHistory, chatWrapperSettings: this.settings, useRawValues: false, @@ -565,8 +615,8 @@ export class JinjaTemplateChatWrapper extends ChatWrapper { stringifyFunctionParams: this._stringifyFunctionParams, stringifyFunctionResults: this._stringifyFunctionResult, combineModelMessageAndToolCalls: this._combineJinjaModelMessageAndToolCalls - }) - ); + }); + }; const lastItemIsModelMessage = transformedHistory.at(-1)?.type === "model"; const {messages: intermediateMessages, tools} = this._usingJinjaFunctionCallTemplate diff --git a/src/chatWrappers/generic/utils/extractFunctionCallSettingsFromJinjaTemplate.ts b/src/chatWrappers/generic/utils/extractFunctionCallSettingsFromJinjaTemplate.ts index 21e82ed4..b9b96607 100644 --- a/src/chatWrappers/generic/utils/extractFunctionCallSettingsFromJinjaTemplate.ts +++ b/src/chatWrappers/generic/utils/extractFunctionCallSettingsFromJinjaTemplate.ts @@ -4,16 +4,20 @@ import {LlamaText, SpecialToken, SpecialTokensText} from "../../../utils/LlamaTe import {UniqueIdGenerator} from "./UniqueIdGenerator.js"; import {getFirstValidResult} from "./getFirstValidResult.js"; +export type ExtractFunctionCallSettingsRenderTemplate = (options: { + chatHistory: ChatHistoryItem[], functions: ChatModelFunctions, additionalParams: Record, + stringifyFunctionParams: boolean, stringifyFunctionResults: boolean, combineModelMessageAndToolCalls: boolean, + squashModelTextResponses?: boolean +}) => string; + export function extractFunctionCallSettingsFromJinjaTemplate({ idsGenerator, - renderTemplate + renderTemplate, + examineNonFirstFunctionCall = false }: { idsGenerator: UniqueIdGenerator, - renderTemplate({}: { - chatHistory: ChatHistoryItem[], functions: ChatModelFunctions, additionalParams: Record, - stringifyFunctionParams: boolean, stringifyFunctionResults: boolean, combineModelMessageAndToolCalls: boolean, - squashModelTextResponses?: boolean - }): string + renderTemplate: ExtractFunctionCallSettingsRenderTemplate, + examineNonFirstFunctionCall?: boolean }): { settings: ChatWrapperSettings["functions"] | null, stringifyParams: boolean, @@ -77,6 +81,13 @@ export function extractFunctionCallSettingsFromJinjaTemplate({ type: "user", text: userMessage1 }]; + const dummyChatTurn: ChatHistoryItem[] = [{ + type: "user", + text: "Hi" + }, { + type: "model", + response: ["Hey"] + }]; const chatHistory1Call: ChatHistoryItem[] = [...baseChatHistory, { type: "model", response: [ @@ -93,7 +104,7 @@ export function extractFunctionCallSettingsFromJinjaTemplate({ }, modelMessage2 ] - }]; + }, ...(examineNonFirstFunctionCall ? dummyChatTurn : [])]; const chatHistoryOnlyCall: ChatHistoryItem[] = [...baseChatHistory, { type: "model", response: [ @@ -109,7 +120,7 @@ export function extractFunctionCallSettingsFromJinjaTemplate({ }, modelMessage2 ] - }]; + }, ...(examineNonFirstFunctionCall ? dummyChatTurn : [])]; const chatHistory2Calls: ChatHistoryItem[] = [...baseChatHistory, { type: "model", response: [ @@ -133,7 +144,7 @@ export function extractFunctionCallSettingsFromJinjaTemplate({ }, modelMessage2 ] - }]; + }, ...(examineNonFirstFunctionCall ? dummyChatTurn : [])]; const chatHistory2CallsNewChunk: ChatHistoryItem[] = [...baseChatHistory, { type: "model", response: [ @@ -157,7 +168,7 @@ export function extractFunctionCallSettingsFromJinjaTemplate({ }, modelMessage2 ] - }]; + }, ...(examineNonFirstFunctionCall ? dummyChatTurn : [])]; const additionalParams = { "bos_token": bosTokenId, @@ -542,6 +553,121 @@ export function extractFunctionCallSettingsFromJinjaTemplate({ }; } +export function detectNeedToWrapFunctionArgumentsWithMap({ + idsGenerator, + renderTemplate +}: { + idsGenerator: UniqueIdGenerator, + renderTemplate: ExtractFunctionCallSettingsRenderTemplate +}): string | undefined { + const funcName = idsGenerator.generateId(); + const paramsValue = idsGenerator.generateId(true); + const paramsMapKey = "params"; + + const functions: ChatModelFunctions = { + [funcName]: { + description: idsGenerator.generateId(), + params: { + type: "string" + } + } + } as ChatModelFunctions; + const functionsWithParamMap: ChatModelFunctions = { + [funcName]: { + description: idsGenerator.generateId(), + params: { + type: "object", + properties: { + [paramsMapKey]: { + type: "string" + } + } + } + } + } as ChatModelFunctions; + const testChatHistory: ChatHistoryItem[] = [{ + type: "system", + text: idsGenerator.generateId() + }, { + type: "user", + text: idsGenerator.generateId() + }, { + type: "model", + response: [ + idsGenerator.generateId(), + { + type: "functionCall", + name: funcName, + + // convert to number since this will go through JSON.stringify, + // and we want to avoid escaping characters in the rendered output + params: paramsValue, + result: idsGenerator.generateId(), + startsNewChunk: true + }, + idsGenerator.generateId() + ] + }]; + const testChatHistoryWithParamsMap: ChatHistoryItem[] = [{ + type: "system", + text: idsGenerator.generateId() + }, { + type: "user", + text: idsGenerator.generateId() + }, { + type: "model", + response: [ + idsGenerator.generateId(), + { + type: "functionCall", + name: funcName, + + // convert to number since this will go through JSON.stringify, + // and we want to avoid escaping characters in the rendered output + params: {[paramsMapKey]: paramsValue}, + result: idsGenerator.generateId(), + startsNewChunk: true + }, + idsGenerator.generateId() + ] + }]; + const additionalParams = { + "bos_token": idsGenerator.generateId(), + "eos_token": idsGenerator.generateId(), + "eot_token": idsGenerator.generateId() + }; + + try { + const rendered = renderTemplate({ + chatHistory: testChatHistory, + functions, + additionalParams, + stringifyFunctionParams: false, + stringifyFunctionResults: false, + combineModelMessageAndToolCalls: false, + squashModelTextResponses: true + }); + if (rendered.includes(paramsValue)) + return undefined; + + const renderedWithParamsMap = renderTemplate({ + chatHistory: testChatHistoryWithParamsMap, + functions: functionsWithParamMap, + additionalParams, + stringifyFunctionParams: false, + stringifyFunctionResults: false, + combineModelMessageAndToolCalls: false, + squashModelTextResponses: true + }); + if (renderedWithParamsMap.includes(paramsValue)) + return paramsMapKey; + } catch (err) { + // do nothing + } + + return undefined; +} + function getTextBetweenIds( text: string, startId: string, endId: string, startIndex: number = 0 ): {text: string | undefined, endIndex: number} { diff --git a/src/chatWrappers/generic/utils/extractSegmentSettingsFromTokenizerAndChatTemplate.ts b/src/chatWrappers/generic/utils/extractSegmentSettingsFromTokenizerAndChatTemplate.ts index 6d6cd2a9..f4c6a949 100644 --- a/src/chatWrappers/generic/utils/extractSegmentSettingsFromTokenizerAndChatTemplate.ts +++ b/src/chatWrappers/generic/utils/extractSegmentSettingsFromTokenizerAndChatTemplate.ts @@ -78,6 +78,7 @@ export function extractSegmentSettingsFromTokenizerAndChatTemplate( thought: tryMatchPrefixSuffixPair([ ["", ""], // DeepSeek, QwQ ["", ""], // EXAONE Deep + ["[THINK]", "[/THINK]"], // Mistral ["<|START_THINKING|>", "<|END_THINKING|>"], // Command R7B ["<|begin_of_thought|>", "<|end_of_thought|>"] // JoyAI ]) diff --git a/src/cli/commands/ChatCommand.ts b/src/cli/commands/ChatCommand.ts index 2e720d63..96227f65 100644 --- a/src/cli/commands/ChatCommand.ts +++ b/src/cli/commands/ChatCommand.ts @@ -304,7 +304,7 @@ export const ChatCommand: CommandModule = { alias: ["tb", "thinkingBudget", "thoughtsBudget"], type: "number", default: -1, - defaultDescription: "Unlimited", + defaultDescription: "75% of the context size", description: "Maximum number of tokens the model can use for thoughts. Set to `0` to disable reasoning" }) .option("noHistory", { diff --git a/src/cli/commands/inspect/commands/InspectGpuCommand.ts b/src/cli/commands/inspect/commands/InspectGpuCommand.ts index 3fb594d8..1f9c08fe 100644 --- a/src/cli/commands/inspect/commands/InspectGpuCommand.ts +++ b/src/cli/commands/inspect/commands/InspectGpuCommand.ts @@ -16,6 +16,8 @@ import {isRunningUnderRosetta} from "../../../utils/isRunningUnderRosetta.js"; import {toBytes} from "../../../utils/toBytes.js"; import {getBinariesGithubRelease} from "../../../../bindings/utils/binariesGithubRelease.js"; import {getClonedLlamaCppRepoReleaseInfo} from "../../../../bindings/utils/cloneLlamaCppRepo.js"; +import {checkWhetherPrebuiltBinariesModuleIsInstalled} from "../../../../bindings/utils/compileLLamaCpp.js"; +import {getCurrentNpmrcConfig, getNpmrcRegistry} from "../../../utils/resolveNpmrcConfig.js"; type InspectGpuCommand = { // no options for now @@ -34,6 +36,7 @@ export const InspectGpuCommand: CommandModule = { const gpusToLogVramUsageOf: BuildGpu[] = []; const gpuToLlama = new Map(); let lastLlama: Llama | undefined; + let missingPrebuiltBinaryModules: boolean = false; async function loadLlamaForGpu(gpu: BuildGpu) { if (!gpuToLlama.has(gpu)) { @@ -113,7 +116,11 @@ export const InspectGpuCommand: CommandModule = { const llama = await loadLlamaForGpu("metal"); if (llama == null) { - console.info(`${chalk.yellow("Metal:")} ${chalk.red("Metal is detected, but using it failed")}`); + if (!(await checkWhetherPrebuiltBinariesModuleIsInstalled("metal"))) { + console.info(`${chalk.yellow("Metal:")} ${chalk.red("The Metal prebuilt binaries module is missing")}`); + missingPrebuiltBinaryModules = true; + } else + console.info(`${chalk.yellow("Metal:")} ${chalk.red("Metal is detected, but using it failed")}`); } else { console.info(`${chalk.yellow("Metal:")} ${chalk.green("available")}`); gpusToLogVramUsageOf.push("metal"); @@ -134,7 +141,11 @@ export const InspectGpuCommand: CommandModule = { const llama = await loadLlamaForGpu(false); if (llama == null) { - console.info(`${chalk.yellow("CPU:")} ${chalk.red("Loading a binding with only CPU support failed")}`); + if (!(await checkWhetherPrebuiltBinariesModuleIsInstalled(false))) { + console.info(`${chalk.yellow("CPU:")} ${chalk.red("The CPU-only prebuilt binaries module is missing")}`); + missingPrebuiltBinaryModules = true; + } else + console.info(`${chalk.yellow("CPU:")} ${chalk.red("Loading a binding with only CPU support failed")}`); } } @@ -148,7 +159,12 @@ export const InspectGpuCommand: CommandModule = { const llama = await loadLlamaForGpu("cuda"); if (llama == null) { - console.info(`${chalk.yellow("CUDA:")} ${chalk.red("CUDA is detected, but using it failed")}`); + if (!(await checkWhetherPrebuiltBinariesModuleIsInstalled("cuda"))) { + console.info(`${chalk.yellow("CUDA:")} ${chalk.red("The CUDA prebuilt binaries modules are missing")}`); + missingPrebuiltBinaryModules = true; + } else + console.info(`${chalk.yellow("CUDA:")} ${chalk.red("CUDA is detected, but using it failed")}`); + console.info(chalk.yellow("To resolve errors related to CUDA, see the CUDA guide: ") + documentationPageUrls.CUDA); } else { console.info(`${chalk.yellow("CUDA:")} ${chalk.green("available")}`); @@ -163,7 +179,12 @@ export const InspectGpuCommand: CommandModule = { const llama = await loadLlamaForGpu("vulkan"); if (llama == null) { - console.info(`${chalk.yellow("Vulkan:")} ${chalk.red("Vulkan is detected, but using it failed")}`); + if (!(await checkWhetherPrebuiltBinariesModuleIsInstalled("vulkan"))) { + console.info(`${chalk.yellow("Vulkan:")} ${chalk.red("The Vulkan prebuilt binaries module is missing")}`); + missingPrebuiltBinaryModules = true; + } else + console.info(`${chalk.yellow("Vulkan:")} ${chalk.red("Vulkan is detected, but using it failed")}`); + console.info(chalk.yellow("To resolve errors related to Vulkan, see the Vulkan guide: ") + documentationPageUrls.Vulkan); } else { console.info(`${chalk.yellow("Vulkan:")} ${chalk.green("available")}`); @@ -194,6 +215,39 @@ export const InspectGpuCommand: CommandModule = { if (lastLlama != null) { await logSwapUsage(lastLlama); console.info(`${chalk.yellow("mmap:")} ${lastLlama.supportsMmap ? "supported" : "unsupported"}`); + } else { + if (!(await checkWhetherPrebuiltBinariesModuleIsInstalled(false))) { + console.info(); + console.info(chalk.yellow("The CPU-only prebuilt binaries module is missing")); + missingPrebuiltBinaryModules = true; + } + } + + if (missingPrebuiltBinaryModules) { + const npmrcConfig = await getCurrentNpmrcConfig(); + const npmRegistry = getNpmrcRegistry(npmrcConfig); + if (!npmRegistry.isDefault) { + console.info(); + console.info(chalk.yellow("npm registry: ") + npmRegistry.registryUrl); + console.info( + chalk.yellow( + "It seems that you have a custom npm registry configured. " + + "The prebuilt binary modules may be missing in that registry. " + ( + "Consider switching to the default npm registry" + + ( + lastLlama != null + ? "" + : " or building from source" + ) + + " if you're having issues." + ) + ) + ); + + // only show a link to the building from source guide when a URL for the CUDA or Vulkan guides was not already provided + if (lastLlama == null) + console.info(chalk.yellow("To build from source, see the Building From Source guide: ") + documentationPageUrls.BuildingFromSource); + } } } }; diff --git a/src/cli/utils/resolveNpmrcConfig.ts b/src/cli/utils/resolveNpmrcConfig.ts new file mode 100644 index 00000000..60c9cd5f --- /dev/null +++ b/src/cli/utils/resolveNpmrcConfig.ts @@ -0,0 +1,174 @@ +import os from "node:os"; +import path from "node:path"; +import fs from "fs-extra"; +import {getPlatform} from "../../bindings/utils/getPlatform.js"; + +const defaultNpmRegistry = "https://registry.npmjs.org/"; + +export async function getCurrentNpmrcConfig() { + const layers = await getNpmConfigLayers(process.cwd()); + + const mergedConfig: Record = { + ...layers.builtin, + ...layers.global, + ...layers.user, + ...layers.project, + ...layers.env + }; + + return mergedConfig; +} + +export function getNpmrcRegistry(npmrcConfig: Record) { + const registryUrl = npmrcConfig.registry ?? defaultNpmRegistry; + let cleanRegistryUrl: string = registryUrl; + + try { + const url = new URL(registryUrl); + url.search = ""; + url.hash = ""; + cleanRegistryUrl = url.href; + } catch (err) { + // do nothing + } + + if (!cleanRegistryUrl.endsWith("/")) + cleanRegistryUrl += "/"; + + return { + isDefault: cleanRegistryUrl === defaultNpmRegistry, + registryUrl, + cleanRegistryUrl: cleanRegistryUrl + }; +} + +async function findNearestProjectNpmrc(startDir: string): Promise { + let currentDirPath = path.resolve(startDir); + + while (true) { + const npmrcPath = path.join(currentDirPath, ".npmrc"); + if (await fs.pathExists(npmrcPath)) + return npmrcPath; + + const parentDirPath = path.dirname(currentDirPath); + if (parentDirPath === currentDirPath) + return undefined; + + currentDirPath = parentDirPath; + } +} + +function parseNpmrc(content: string, env: NodeJS.ProcessEnv = process.env): Record { + const result: Record = {}; + + for (const rawLine of content.split(/\r?\n/u)) { + const line = rawLine.trim(); + + if (line === "" || line.startsWith(";") || line.startsWith("#")) + continue; + + const eqIndex = line.indexOf("="); + if (eqIndex <= 0) + continue; + + const key = line.slice(0, eqIndex).trim(); + const value = line.slice(eqIndex + 1) + .trim() + .replace(/\$\{([^}]+)\}/gu, (match: string, envVarName: string) => (env[envVarName] ?? "")); + + result[key] = value; + } + + return result; +} + +async function readNpmrc(filePath: string | undefined): Promise> { + if (filePath == null || !(await fs.pathExists(filePath))) + return {}; + + return parseNpmrc(fs.readFileSync(filePath, "utf8")); +} + +async function getDefaultGlobalConfigPath(npmPrefixConfig?: string): Promise { + const prefix = npmPrefixConfig ?? process.env.PREFIX; + + if (prefix != null && prefix !== "") + return path.join(prefix, "etc", "npmrc"); + + const platform = getPlatform(); + if (platform === "win") { + const appData = process.env.APPDATA; + if (appData != null && appData !== "") + return path.join(appData, "npm", "etc", "npmrc"); + } else if (platform === "mac") { + const npmrcLocations = [ + "/opt/homebrew/etc/npmrc", + "/usr/local/etc/npmrc" + ]; + + for (const candidate of npmrcLocations) { + if (await fs.pathExists(candidate)) + return candidate; + } + } else if (platform === "linux") + return "/etc/npmrc"; + + return undefined; +} + +async function getNpmConfigLayers(startDir: string): Promise { + const envConfig: Record = {}; + + for (const [key, value] of Object.entries(process.env)) { + if (value == null) + continue; + + const lowerKey = key.toLowerCase(); + if (lowerKey.startsWith("npm_config_")) { + const configKey = lowerKey.slice("npm_config_".length).replaceAll("_", "-"); + envConfig[configKey] = value; + } + } + + const globalConfigPath = envConfig["globalconfig"] ?? await getDefaultGlobalConfigPath(envConfig["prefix"]); + const userConfigPath = envConfig["userconfig"] ?? path.join(os.homedir(), ".npmrc"); + const projectConfigPath = await findNearestProjectNpmrc(startDir); + + const [ + globalConfig, + userConfig, + projectConfig + ] = await Promise.all([ + await readNpmrc(globalConfigPath), + await readNpmrc(userConfigPath), + await readNpmrc(projectConfigPath) + ]); + + return { + builtin: { + registry: defaultNpmRegistry + }, + global: globalConfig, + user: userConfig, + project: projectConfig, + env: envConfig, + paths: { + project: projectConfigPath, + user: userConfigPath, + global: globalConfigPath + } + }; +} + +export type NpmConfigLayers = { + builtin: Record, + global: Record, + user: Record, + project: Record, + env: Record, + paths: { + project: string | undefined, + user: string | undefined, + global: string | undefined + } +}; diff --git a/src/config.ts b/src/config.ts index cdf416c3..631df45c 100644 --- a/src/config.ts +++ b/src/config.ts @@ -20,11 +20,13 @@ export const llamaPrebuiltBinsDirectory = path.join(__dirname, "..", "bins"); export const llamaLocalBuildBinsDirectory = path.join(llamaDirectory, "localBuilds"); export const llamaBinsGrammarsDirectory = path.join(__dirname, "..", "llama", "grammars"); export const projectTemplatesDirectory = path.join(__dirname, "..", "templates"); +export const localTempDirectory = path.join(__dirname, "..", ".temp"); export const packedProjectTemplatesDirectory = path.join(projectTemplatesDirectory, "packed"); export const llamaCppDirectory = path.join(llamaDirectory, "llama.cpp"); export const llamaCppGrammarsDirectory = path.join(llamaDirectory, "llama.cpp", "grammars"); export const tempDownloadDirectory = path.join(os.tmpdir(), "node-llama-cpp", nanoid()); export const cliHomedirDirectory = path.join(os.homedir(), ".node-llama-cpp"); +export const cliHomedirTempDirectory = path.join(os.homedir(), ".node-llama-cpp", ".temp"); export const chatCommandHistoryFilePath = path.join(cliHomedirDirectory, ".chat_repl_history"); export const cliModelsDirectory = path.join(cliHomedirDirectory, "models"); export const lastBuildInfoJsonPath = path.join(llamaDirectory, "lastBuild.json"); @@ -100,6 +102,7 @@ const documentationCliUrl = documentationUrl + "/cli"; export const documentationPageUrls = { CUDA: documentationUrl + "/guide/CUDA", Vulkan: documentationUrl + "/guide/Vulkan", + BuildingFromSource: documentationUrl + "/guide/building-from-source", CLI: { index: documentationCliUrl, Pull: documentationCliUrl + "/pull", diff --git a/src/evaluator/LlamaChat/LlamaChat.ts b/src/evaluator/LlamaChat/LlamaChat.ts index 059ed296..4ecf3399 100644 --- a/src/evaluator/LlamaChat/LlamaChat.ts +++ b/src/evaluator/LlamaChat/LlamaChat.ts @@ -1,6 +1,6 @@ import {DisposeAggregator, DisposedError, EventRelay, withLock} from "lifecycle-utils"; import {ChatWrapper} from "../../ChatWrapper.js"; -import {LlamaContextSequence} from "../LlamaContext/LlamaContext.js"; +import {internalCheckpoints, LlamaContextSequence} from "../LlamaContext/LlamaContext.js"; import { ChatHistoryItem, ChatModelFunctions, ChatModelResponse, ChatModelSegmentType, ChatUserMessage, isChatModelResponseFunctionCall, isChatModelResponseSegment, LLamaContextualRepeatPenalty, Token, Tokenizer, allSegmentTypes, ChatWrapperGeneratedContextState, @@ -26,6 +26,7 @@ import {LlamaModel} from "../LlamaModel/LlamaModel.js"; import {getChatWrapperSegmentDefinition} from "../../utils/getChatWrapperSegmentDefinition.js"; import {jsonDumps} from "../../chatWrappers/utils/jsonDumps.js"; import {defaultMaxPreloadTokens} from "../LlamaChatSession/utils/LlamaChatSessionPromptCompletionEngine.js"; +import {LlamaLogLevel} from "../../bindings/types.js"; import { eraseFirstResponseAndKeepFirstSystemChatContextShiftStrategy } from "./utils/contextShiftStrategies/eraseFirstResponseAndKeepFirstSystemChatContextShiftStrategy.js"; @@ -356,14 +357,20 @@ export type LLamaChatGenerateResponseOptions = { const defaultRepeatPenaltyLastTokens = 64; const defaultTrimWhitespaceSuffix = false; const defaultEvaluationPriority: EvaluationPriority = 5; +const defaultSegmentBudgetSize = (contextSize: number) => ( + contextSize < 8192 + ? contextSize * 0.5 + : contextSize * 0.75 +); export class LlamaChat { @@ -673,7 +685,10 @@ export class LlamaChat { throw new Error("Using both grammar and functions is not supported yet"); return await withLock([this._chatLock, "evaluate"], signal, async (): Promise> => { + let hadError = false; try { + let tookInitialCheckpoint = false; + generateResponseState.ensureLastHistoryItemIsModel(); generateResponseState.ensureReopenedThoughtSegmentAfterFunctionCallsIfNeeded(); @@ -732,6 +747,11 @@ export class LlamaChat { await generateResponseState.createNewEvaluationIterator(); while (await generateResponseState.iterateEvaluation()) { + if (!tookInitialCheckpoint && this.sequence.needsCheckpoints) { + await this.sequence.takeCheckpoint(); + tookInitialCheckpoint = true; + } + if (!generateResponseState.holdPartialTokensForNextEvaluation()) { generateResponseState.waitOnPartialCharactersOrWhiteSpaceTokens(); @@ -746,7 +766,11 @@ export class LlamaChat { return functionsCallsRes; } - generateResponseState.recordStopGenerationEvaluation(); + { + const resPromise = generateResponseState.recordStopGenerationEvaluation(); + if (resPromise instanceof Promise) + await resPromise; + } generateResponseState.popStreamRegulatorFreeTokens(); generateResponseState.removeFoundStartIgnoreTextsFromPendingTokens(); @@ -790,8 +814,14 @@ export class LlamaChat { } throw new Error("The context size is too small to generate a response"); + } catch (err) { + hadError = true; + throw err; } finally { await generateResponseState.dispose(); + + if (!hadError && this.sequence.needsCheckpoints) + void this.sequence.takeCheckpoint(); } }); } @@ -891,6 +921,7 @@ export class LlamaChat { return await withLock([this._chatLock, "evaluate"], signal, async (): Promise => { try { + let tookInitialCheckpoint = false; generateResponseState.ensureLastHistoryItemIsUser(); while (true) { @@ -957,11 +988,21 @@ export class LlamaChat { } await generateResponseState.createNewEvaluationIterator(); + while (await generateResponseState.iterateEvaluation()) { + if (!tookInitialCheckpoint && this.sequence.needsCheckpoints) { + await this.sequence.takeCheckpoint(); + tookInitialCheckpoint = true; + } + if (!generateResponseState.holdPartialTokensForNextEvaluation()) { generateResponseState.waitOnPartialCharactersOrWhiteSpaceTokens(); - generateResponseState.recordStopGenerationEvaluation(); + { + const resPromise = generateResponseState.recordStopGenerationEvaluation(); + if (resPromise instanceof Promise) + await resPromise; + } generateResponseState.popStreamRegulatorFreeTokens(); @@ -1755,6 +1796,7 @@ class GenerateResponseState[number] }> = new Map(); public noPrefixTrigger: ChatWrapperGeneratedContextState["noPrefixTrigger"] = undefined; + public responsePrefix: LlamaText | undefined = undefined; public rerenderTriggers: LlamaText[] = []; public rerenderTriggerDetector: StopGenerationDetector = new StopGenerationDetector(); public rerenderActions: Exclude["action"] = undefined; @@ -2258,6 +2300,11 @@ class GenerateResponseState 0 && + (trigger.triggers[0]?.values?.length ?? 0) > 0 + ) + this.responsePrefix = LlamaText([trigger.triggers[0] ?? "", trigger.inject ?? ""]); + const prefixDetector = new StopGenerationDetector(); StopGenerationDetector.resolveStopTriggers(trigger.triggers, this.llamaChat.model.tokenizer) .forEach((stopTrigger) => prefixDetector.addStopTrigger(stopTrigger)); @@ -2291,6 +2338,8 @@ class GenerateResponseState= noPrefixTriggerSegmentBudget ) this.noPrefixTrigger = undefined; + else if (noPrefixTrigger?.type === "response") + this.responsePrefix = noPrefixTrigger.inject; this.rerenderTriggers = rerender?.triggers ?? []; this.rerenderTriggerDetector.clearInProgressStops(); @@ -2391,6 +2440,13 @@ class GenerateResponseState sectionSuffixDetector.addStopTrigger(stopTrigger)); + let tookInitialCheckpoint = false; for await (const tokens of this.evaluateWithContextShift(loadContextWindow)) { + if (!tookInitialCheckpoint && this.llamaChat.sequence.needsCheckpoints) { + await this.llamaChat.sequence._takeNamedCheckpoint( + internalCheckpoints.chatSequenceStart.name, + internalCheckpoints.chatSequenceStart.maxCheckpoints + ); + tookInitialCheckpoint = true; + } + pushAll(this.currentFunctionCallCurrentPartTokens, tokens); sectionSuffixDetector.recordGeneration({ @@ -3081,6 +3195,25 @@ class GenerateResponseState | void { + const hadInProgressStopTrigger = this.stopGenerationDetector.hasInProgressStops; this.rerenderTriggerDetector.recordGeneration({ text: this.currentText, tokens: this.currentTokens, @@ -3247,6 +3381,14 @@ class GenerateResponseState ( - (budget == null || budget === Infinity) - ? null - : budget + budget == null + ? Math.ceil(defaultSegmentBudgetSize(this.llamaChat.sequence.contextSize)) + : budget === Infinity + ? null + : budget ); if (this.budgets == null) diff --git a/src/evaluator/LlamaChat/utils/contextShiftStrategies/eraseFirstResponseAndKeepFirstSystemChatContextShiftStrategy.ts b/src/evaluator/LlamaChat/utils/contextShiftStrategies/eraseFirstResponseAndKeepFirstSystemChatContextShiftStrategy.ts index de993c06..ef246ddd 100644 --- a/src/evaluator/LlamaChat/utils/contextShiftStrategies/eraseFirstResponseAndKeepFirstSystemChatContextShiftStrategy.ts +++ b/src/evaluator/LlamaChat/utils/contextShiftStrategies/eraseFirstResponseAndKeepFirstSystemChatContextShiftStrategy.ts @@ -6,6 +6,9 @@ import {truncateLlamaTextAndRoundToWords, truncateTextAndRoundToWords} from "../ import {ChatWrapper} from "../../../../ChatWrapper.js"; import {LlamaText} from "../../../../utils/LlamaText.js"; +const minKeepCurrentModelResponseSegmentChars = 256; + + export async function eraseFirstResponseAndKeepFirstSystemChatContextShiftStrategy({ chatHistory, maxTokensCount, @@ -249,8 +252,16 @@ export async function eraseFirstResponseAndKeepFirstSystemChatContextShiftStrate charactersLeftToRemove -= functionCallAndResultTokenUsage * estimatedCharactersPerToken; } else if (isChatModelResponseSegment(item)) { if (item.text !== "") { - const newText = truncateTextAndRoundToWords(item.text, charactersLeftToRemove, undefined, true); - if (newText === "" && item.ended) { + const keepChars = isLastHistoryItem + ? Math.max(minKeepCurrentModelResponseSegmentChars, Math.ceil(item.text.length / 2)) + : 0; + const removeChars = Math.max( + 0, + Math.min(item.text.length - keepChars, charactersLeftToRemove) + ); + const newText = truncateTextAndRoundToWords(item.text, removeChars, undefined, true); + + if (newText === "" && item.ended && !(isLastHistoryItem && t >= historyItem.response.length - 1 - 2)) { const emptySegmentTokenUsage = chatWrapper.generateModelResponseText([{...item, text: ""}], true) .tokenize(tokenizer, "trimLeadingSpace").length; @@ -260,6 +271,7 @@ export async function eraseFirstResponseAndKeepFirstSystemChatContextShiftStrate } else { charactersLeftToRemove -= item.text.length - newText.length; item.text = newText; + delete item.raw; } } } else diff --git a/src/evaluator/LlamaChatSession/LlamaChatSession.ts b/src/evaluator/LlamaChatSession/LlamaChatSession.ts index c831d379..6001d6b1 100644 --- a/src/evaluator/LlamaChatSession/LlamaChatSession.ts +++ b/src/evaluator/LlamaChatSession/LlamaChatSession.ts @@ -263,14 +263,20 @@ export type LLamaChatPromptOptions; const defaultEvaluationPriority: EvaluationPriority = 5; const defaultDryRepeatPenalitySequenceBreakers = ["\n", ":", '"', "*"]; +const defaultCheckpointOptions: Required = { + max: 32, + interval: 8192, + maxMemory: null +}; + +export const internalCheckpoints = { + speculative: { + name: "speculative", + maxCheckpoints: 2 + }, + chatSequenceStart: { + name: "sequenceStart", + maxCheckpoints: 1 + }, + chatGrammarEnd: { + name: "grammarEnd", + maxCheckpoints: 1 + } +}; const decodeSyncWorkaround = { vulkanLock: {} @@ -55,7 +77,7 @@ export class LlamaContext { /** @internal */ private readonly _totalSequences: number; /** @internal */ private readonly _unusedSequenceIds: number[] = []; /** @internal */ private readonly _batchingOptions: Required; - /** @internal */ private readonly _swaFullCache: boolean = false; + /** @internal */ public readonly _swaFullCache: boolean = false; /** @internal */ private readonly _queuedDecodeSequenceIds = new Set(); /** @internal */ private readonly _queuedDecodes: InternalQueuedDecode[] = []; /** @internal */ private readonly _disposeAggregator = new AsyncDisposeAggregator(); @@ -266,6 +288,50 @@ export class LlamaContext { */ tokenPredictor?: TokenPredictor, + /** + * The maximum number of checkpoint to keep for the sequence when needed. + * + * When reusing a prefix evaluation state is not possible for the context sequence + * (like in contexts from recurrent and hybrid models, + * or with models that use SWA (Sliding Window Attention) when the `swaFullCache` option is not enabled on the context), + * storing checkpoints allows reusing the context state at certain points in the sequence + * to speed up the evaluation when erasing parts of the context state that come after those points. + * Those checkpoints will automatically be used when trying to erase parts of the context state that + * come after a checkpointed state, and be freed from memory when no longer relevant. + * + * Those checkpoints are relatively lightweight compared to saving the entire state, + * but taking too many checkpoints can increase memory usage. + * Checkpoints are stored in the RAM (not VRAM). + * + * See {@link LlamaContextSequence.takeCheckpoint} for more details on how checkpoints are taken and used. + */ + checkpoints?: { + /** + * The maximum number of checkpoints to keep for the sequence when needed. + * + * Defaults to `32`. + */ + max?: number, + + /** + * Take a checkpoint every `interval` tokens when the sequence needs taking checkpoints. + * + * Defaults to `8192`. + */ + interval?: number | false, + + /** + * The maximum memory in bytes to use for checkpoints for the sequence when needed. + * + * When taking a checkpoint causes the checkpoints pool memory to exceed this value, + * older checkpoints will be pruned until the total checkpoints memory usage is under this limit, + * while ensuring that at least one checkpoint is kept. + * + * Defaults to `null` (no memory limit). + */ + maxMemory?: number | null + }, + /** @internal */ _tokenMeter?: TokenMeter } = {}): LlamaContextSequence { @@ -275,6 +341,7 @@ export class LlamaContext { strategy: contextShiftStrategy = "eraseBeginning" } = {}, tokenPredictor, + checkpoints, _tokenMeter } = options; @@ -293,7 +360,8 @@ export class LlamaContext { size: contextShiftSize, strategy: contextShiftStrategy }, - tokenPredictor + tokenPredictor, + checkpoints }); } @@ -406,6 +474,7 @@ export class LlamaContext { batchLogitIndexes: Uint32Array, batchLogitTokenIndexes: number[], firstTokenIndex: number, + sequenceStateLength: number, returnResults?: true }> = []; const queuedDecodesToDelete = new Set(); @@ -445,15 +514,17 @@ export class LlamaContext { batchLogitIndexes, batchLogitTokenIndexes: tokenIndexesWithLogitsToProcess, firstTokenIndex: queuedDecode.firstTokenSequenceIndex, + sequenceStateLength: queuedDecode.firstTokenSequenceIndex + processAmount + 1, returnResults: true }); } else { - if (batchLogitIndexes.length > 0) + if (batchLogitIndexes.length > 0 || queuedDecode.afterBatchAction != null) afterDecodeActions.push({ queuedDecode, batchLogitIndexes, batchLogitTokenIndexes: tokenIndexesWithLogitsToProcess, - firstTokenIndex: queuedDecode.firstTokenSequenceIndex + firstTokenIndex: queuedDecode.firstTokenSequenceIndex, + sequenceStateLength: queuedDecode.firstTokenSequenceIndex + processAmount + 1 }); queuedDecode.tokens = queuedDecode.tokens.slice(processAmount); @@ -553,6 +624,12 @@ export class LlamaContext { }); await Promise.all(afterDecodeActionResults); + + for (const action of afterDecodeActions) { + const resPromise = action.queuedDecode.afterBatchAction?.(action.sequenceStateLength); + if (resPromise instanceof Promise) + await resPromise; + } }; const prioritizationStrategy = resolvePrioritizationStrategy(); @@ -617,10 +694,11 @@ export class LlamaContext { /** @internal */ public async _decodeTokens({ - sequenceId, firstTokenSequenceIndex, tokens, logits, evaluationPriority = defaultEvaluationPriority, tokenMeter + sequenceId, firstTokenSequenceIndex, tokens, logits, evaluationPriority = defaultEvaluationPriority, tokenMeter, afterBatchAction }: { sequenceId: number, firstTokenSequenceIndex: number, tokens: Token[], logits: (true | undefined)[], - evaluationPriority?: EvaluationPriority, tokenMeter: TokenMeter + evaluationPriority?: EvaluationPriority, tokenMeter: TokenMeter, + afterBatchAction?: ((sequenceStateLength: number) => Promise | void) }, logitDataMapper: ((batchLogitIndex: BatchLogitIndex, tokenIndex: number) => T | Promise)): Promise<[index: number, value: T][]> { return await new Promise((accept, reject) => { this._queuedDecodes.push({ @@ -631,7 +709,8 @@ export class LlamaContext { evaluationPriority, tokenMeter, response: [accept, reject], - logitDataMapper + logitDataMapper, + afterBatchAction }); this._queuedDecodeSequenceIds.add(sequenceId); @@ -937,6 +1016,8 @@ export class LlamaContextSequence { /** @internal */ private readonly _context: LlamaContext; /** @internal */ private readonly _contextShift: Required; /** @internal */ private readonly _tokenPredictor?: TokenPredictor; + /** @internal */ private readonly _checkpoints = new LlamaContextSequenceCheckpoints(); + /** @internal */ private readonly _checkpointOptions: Required; /** @internal */ private readonly _tokenMeter: TokenMeter; /** @internal */ private readonly _disposeAggregator = new DisposeAggregator(); /** @internal */ private readonly _lock = {}; @@ -957,19 +1038,25 @@ export class LlamaContextSequence { public readonly onDispose = new EventRelay(); private constructor({ - sequenceId, context, tokenMeter, contextShift, tokenPredictor + sequenceId, context, tokenMeter, contextShift, tokenPredictor, checkpoints }: { sequenceId: number, context: LlamaContext, tokenMeter?: TokenMeter, contextShift: Required, - tokenPredictor?: TokenPredictor + tokenPredictor?: TokenPredictor, + checkpoints?: SequenceCheckpointOptions }) { this._sequenceId = sequenceId; this._context = context; this._tokenMeter = tokenMeter ?? new TokenMeter(); this._contextShift = contextShift; this._tokenPredictor = tokenPredictor; + this._checkpointOptions = { + max: checkpoints?.max ?? defaultCheckpointOptions.max, + interval: checkpoints?.interval ?? defaultCheckpointOptions.interval, + maxMemory: checkpoints?.maxMemory ?? defaultCheckpointOptions.maxMemory + }; this._gcRegistry = new FinalizationRegistry(this._context._reclaimUnusedSequenceId); this._gcRegistry.register(this, sequenceId); @@ -983,11 +1070,14 @@ export class LlamaContextSequence { ) ); this._disposeAggregator.add(() => { + this._checkpoints.clearAllCheckpoints(); this._context._reclaimUnusedSequenceId(this._sequenceId); }); if (this._tokenPredictor != null) this._disposeAggregator.add(this._tokenPredictor); + + this._takeIntervalCheckpointIfNeededAfterBatch = this._takeIntervalCheckpointIfNeededAfterBatch.bind(this); } public dispose() { @@ -1214,7 +1304,7 @@ export class LlamaContextSequence { ) { this._ensureNotDisposed(); - let awaitPromise: Promise | undefined; + let awaitEvaluationPromise: Promise | undefined; await withLock([this._context, "context"], async () => { this._ensureNotDisposed(); @@ -1312,19 +1402,47 @@ export class LlamaContextSequence { if (canResetTokenPredictor && removedTokens > 0) await this._abortTokenPredictor(true); + this._checkpoints.pruneFromEndToIndex(this._contextTokens.length - 1); + if (deletionSuccessful) return; + let restoreCheckpointIndex = this._contextTokens.length - 1; + const existingCheckpoint = this._checkpoints.getLastCheckpoint(restoreCheckpointIndex, this.contextSize); + if (existingCheckpoint != null && + restoreCheckpointIndex >= existingCheckpoint.minPos && + existingCheckpoint.maxPos <= this.contextSize + ) { + restoreCheckpointIndex = Math.min(restoreCheckpointIndex, existingCheckpoint.maxPos); + const restoredSuccessfully = await this._context._ctx.restoreCheckpoint(existingCheckpoint, restoreCheckpointIndex); + if (restoredSuccessfully) { + const tokensToEvaluate = this._contextTokens.slice(restoreCheckpointIndex + 1); + this._contextTokens = this._contextTokens.slice(0, restoreCheckpointIndex + 1); + this._nextTokenIndex = restoreCheckpointIndex + 1; + + // wait for the evaluation outside the "context" lock to avoid deadlocks + if (tokensToEvaluate.length > 0) + awaitEvaluationPromise = this.evaluateWithoutGeneratingNewTokens(tokensToEvaluate, {_skipLock: skipLock}); + return; + } + } + const newSequenceTokens = this._contextTokens.slice(); this._nextTokenIndex = 0; this._context._ctx.disposeSequence(this._sequenceId); + this._contextTokens = []; // wait for the evaluation outside the "context" lock to avoid deadlocks - awaitPromise = this.evaluateWithoutGeneratingNewTokens(newSequenceTokens, {_skipLock: skipLock}); + if (newSequenceTokens.length > 0) + awaitEvaluationPromise = this.evaluateWithoutGeneratingNewTokens(newSequenceTokens, {_skipLock: skipLock}); }); - if (awaitPromise != null) - await awaitPromise; + if (awaitEvaluationPromise != null) { + await awaitEvaluationPromise; + + if (this.needsCheckpoints && this._checkpoints.lastCheckpointIndex !== this._nextTokenIndex - 1) + await this.takeCheckpoint(); + } } /** @@ -1628,7 +1746,8 @@ export class LlamaContextSequence { return output; }); - } + }, + this._takeIntervalCheckpointIfNeededAfterBatch ); } finally { evaluatorLock.dispose(); @@ -1653,6 +1772,7 @@ export class LlamaContextSequence { try { this._ensureNotDisposed(); + // TODO: save checkpoints to disk const fileSize = await this._context._ctx.saveSequenceStateToFile( resolvedPath, this._sequenceId, @@ -1722,6 +1842,118 @@ export class LlamaContextSequence { } } + /** + * When reusing a prefix evaluation state is not possible for the current context sequence + * (like in contexts from recurrent and hybrid models, + * or with models that use SWA (Sliding Window Attention) when the `swaFullCache` option is not enabled on the context), + * you can use this method to checkpoint the current context sequence state. + * Those checkpoints will automatically be used when trying to erase parts of the context state that come after a checkpointed state, + * and be freed from memory when no longer relevant. + * + * Those checkpoints are relatively lightweight compared to saving the entire state, + * but taking too many checkpoints can increase memory usage. + * Checkpoints are stored in the RAM (not VRAM). + * + * Calling this method on a context sequence from a model that natively supports prefix evaluation state reuse will have no effect. + * + * > **Note:** to check whether the current context sequence needs taking checkpoints, + * > you can use the {@link needsCheckpoints `.needsCheckpoints`} property. + */ + public async takeCheckpoint() { + if (!this.needsCheckpoints) + return; + + return await withLock([this._context, "context"], () => { + return this._takeCheckpoint(undefined, this._checkpointOptions.max); + }); + } + + /** @internal */ + public async _takeNamedCheckpoint(name: string, maxNamedCheckpoints: number) { + if (!this.needsCheckpoints) + return; + + return await withLock([this._context, "context"], () => { + return this._takeCheckpoint(name, maxNamedCheckpoints); + }); + } + + /** + * Whether the current context sequence needs taking checkpoints of the context state to be able to reuse + * it as a prefix evaluation state in the future. + * + * See {@link takeCheckpoint `.takeCheckpoint()`} for more details. + */ + public get needsCheckpoints() { + if (this.model.fileInsights.isHybrid || this.model.fileInsights.isRecurrent) + return true; + else if (this.model.fileInsights.swaSize != null && !this._context._swaFullCache) + return true; + + return false; + } + + /** + * The index of the last taken checkpoint that's available for prefix reuse + */ + public get lastCheckpointIndex() { + return Math.max(0, Math.min(this._checkpoints.lastCheckpointIndex, this.nextTokenIndex - 1)); + } + + /** + * The total memory usage in bytes of all the checkpoints currently held for this context sequence + */ + public get checkpointsMemoryUsage() { + return this._checkpoints.memoryUsage; + } + + /** @internal */ + private async _takeCheckpoint(name: string | undefined, maxNamedCheckpoints: number) { + if (!this.needsCheckpoints || this._nextTokenIndex === 0 || this._checkpoints.hasCheckpoint(name, this._nextTokenIndex - 1)) + return; + + if (this._checkpointOptions.maxMemory != null) + this._checkpoints.prepareMemoryForIncomingCheckpoint(this._checkpointOptions.maxMemory); + + const checkpoint = new this.model._llama._bindings.AddonContextSequenceCheckpoint(); + await checkpoint.init(this._context._ctx, this._sequenceId); + if (this._nextTokenIndex - 1 !== checkpoint.maxPos) + this.model._llama._log( + LlamaLogLevel.warn, + `Checkpoint max position mismatch: expected ${this._nextTokenIndex - 1}, got ${checkpoint.maxPos}` + ); + + this._checkpoints.storeCheckpoint({ + name, + maxNamedCheckpoints, + checkpoint, + currentMaxPos: checkpoint.maxPos + }); + + if (this._checkpointOptions.maxMemory != null) + this._checkpoints.pruneToKeepUnderMemoryUsage(this._checkpointOptions.maxMemory); + } + + /** @internal */ + private _takeIntervalCheckpointIfNeeded(currentIndex: number = this._nextTokenIndex - 1): Promise | void { + if (!this.needsCheckpoints) + return; + + const lastCheckpointIndex = this._checkpoints.getLastNamedCheckpointIndex(undefined); + if (this._checkpointOptions.interval === false || currentIndex - lastCheckpointIndex < this._checkpointOptions.interval) + return; + + return this._takeCheckpoint(undefined, this._checkpointOptions.max); + } + + /** @internal */ + private _takeIntervalCheckpointIfNeededAfterBatch(sequenceStateLength: number): Promise | void { + if (sequenceStateLength === 0) + return; + + return this._takeIntervalCheckpointIfNeeded(sequenceStateLength - 1); + } + /** @internal */ private async *_evaluate(tokens: Token[], metadata: Metadata, { temperature, @@ -1818,7 +2050,8 @@ export class LlamaContextSequence { else return this._context._ctx.sampleToken(batchLogitIndex, sampler._sampler); }); - } + }, + this._takeIntervalCheckpointIfNeededAfterBatch ); const lastDecodeResult = decodeResult[evalTokens.length - 1]; @@ -1952,6 +2185,22 @@ export class LlamaContextSequence { {canResetTokenPredictor: true, canRemovePredictionTokens: true, skipLock: true} ); this._loadedTokenPredictions.length = 0; + + if (this.needsCheckpoints) { + await this._takeCheckpoint( + internalCheckpoints.speculative.name, + internalCheckpoints.speculative.maxCheckpoints + ); + + await this._takeIntervalCheckpointIfNeeded(); + } + } else if (this._tokenPredictorOwner === tokenPredictorOwner && this.needsCheckpoints) { + await this._takeCheckpoint( + internalCheckpoints.speculative.name, + internalCheckpoints.speculative.maxCheckpoints + ); + + await this._takeIntervalCheckpointIfNeeded(); } if (this._resetTokenPredictor) { @@ -2240,7 +2489,8 @@ export class LlamaContextSequence { evaluationPriority: EvaluationPriority, tokenMeter: TokenMeter, contextShiftOptions: Required, - logitDataMapper: ((batchLogitIndex: BatchLogitIndex, tokenIndex: number) => T | Promise) + logitDataMapper: ((batchLogitIndex: BatchLogitIndex, tokenIndex: number) => T | Promise), + afterBatchAction?: ((sequenceStateLength: number) => Promise | void) ): Promise> { this._ensureNotDisposed(); @@ -2275,7 +2525,8 @@ export class LlamaContextSequence { firstTokenSequenceIndex: this._nextTokenIndex, logits: tokensLogits, evaluationPriority, - tokenMeter + tokenMeter, + afterBatchAction }, normalizedLogitDataMapper); for (const [index, value] of generatedLogits) @@ -2343,13 +2594,15 @@ export class LlamaContextSequence { size: contextShiftSize = Math.min(100, Math.ceil(context.contextSize / 2)), strategy: contextShiftStrategy = "eraseBeginning" } = {}, - tokenPredictor + tokenPredictor, + checkpoints }: { sequenceId: number, context: LlamaContext, tokenMeter?: TokenMeter, contextShift?: ContextShiftOptions, - tokenPredictor?: TokenPredictor + tokenPredictor?: TokenPredictor, + checkpoints?: SequenceCheckpointOptions }): LlamaContextSequence { return new LlamaContextSequence({ sequenceId, @@ -2359,7 +2612,8 @@ export class LlamaContextSequence { size: contextShiftSize, strategy: contextShiftStrategy }, - tokenPredictor + tokenPredictor, + checkpoints }); } } @@ -2372,7 +2626,8 @@ type InternalQueuedDecode = { evaluationPriority: EvaluationPriority, tokenMeter: TokenMeter, response: [accept: (res: any) => void, reject: (reason: unknown) => void], - logitDataMapper: ((batchLogitIndex: BatchLogitIndex, tokenIndex: number) => any | Promise) + logitDataMapper: ((batchLogitIndex: BatchLogitIndex, tokenIndex: number) => any | Promise), + afterBatchAction?: ((sequenceStateLength: number) => Promise | void) }; type CurrentBatchItem = { @@ -2380,6 +2635,12 @@ type CurrentBatchItem = { processAmount: number }; +type SequenceCheckpointOptions = { + max?: number, + interval?: number | false, + maxMemory?: number | null +}; + function getTokenBiasesForAddon(tokenBias: undefined | TokenBias | (() => TokenBias), currentModel: LlamaModel) { if (tokenBias == null) return { diff --git a/src/evaluator/LlamaContext/LlamaContextSequenceCheckpoints.ts b/src/evaluator/LlamaContext/LlamaContextSequenceCheckpoints.ts new file mode 100644 index 00000000..e3894b44 --- /dev/null +++ b/src/evaluator/LlamaContext/LlamaContextSequenceCheckpoints.ts @@ -0,0 +1,171 @@ +import {AddonContextSequenceCheckpoint} from "../../bindings/AddonTypes.js"; + +export class LlamaContextSequenceCheckpoints { + private _checkpoints: Array<[name: string | undefined, checkpoint: AddonContextSequenceCheckpoint]> = []; + private _namedCheckpoints = new Map(); + private _memoryUsage = 0; + + public storeCheckpoint({ + name, + maxNamedCheckpoints, + checkpoint, + currentMaxPos + }: { + name: string | undefined, + maxNamedCheckpoints: number, + checkpoint: AddonContextSequenceCheckpoint, + currentMaxPos: number + }) { + // TODO: if a named checkpoint is on the same index as the current checkpoint, + // reuse the same underlying checkpoint data instead of having it get duplicated + if (this.hasCheckpoint(name, currentMaxPos)) + return; + + const existingCheckpointsCount = this._getCheckpointsCount(name); + this._pruneOldCheckpoints(name, existingCheckpointsCount - maxNamedCheckpoints + 1); + this._checkpoints.push([name, checkpoint]); + this._resizeCheckpointsCount(name, 1); + this._memoryUsage += checkpoint.size; + } + + public hasCheckpoint(name: string | undefined, maxPos: number) { + for (let i = this._checkpoints.length - 1; i >= 0; i--) { + const [checkpointName, checkpoint] = this._checkpoints[i]!; + if (checkpointName === name && checkpoint.maxPos === maxPos) + return true; + + if (checkpoint.maxPos < maxPos) + break; + } + + return false; + } + + public getLastCheckpoint(restoreIndex: number, contextSize: number) { + if (restoreIndex <= 0) + return null; + + for (let i = this._checkpoints.length - 1; i >= 0; i--) { + const [, checkpoint] = this._checkpoints[i]!; + if (restoreIndex >= checkpoint.minPos && checkpoint.maxPos <= contextSize) + return checkpoint; + else if (restoreIndex < checkpoint.minPos) + return null; + } + + return null; + } + + public clearAllCheckpoints() { + for (const [, checkpoint] of this._checkpoints) + checkpoint.dispose(); + + this._checkpoints.length = 0; + this._namedCheckpoints.clear(); + this._memoryUsage = 0; + } + + public get lastCheckpointIndex(): number { + const [, checkpoint] = this._checkpoints[this._checkpoints.length - 1] ?? []; + if (checkpoint == null) + return -1; + + return checkpoint.maxPos; + } + + public getLastNamedCheckpointIndex(name: string | undefined): number { + if (this._getCheckpointsCount(name) === 0) + return -1; + + for (let i = this._checkpoints.length - 1; i >= 0; i--) { + const [checkpointName, checkpoint] = this._checkpoints[i]!; + if (checkpointName === name) + return checkpoint.maxPos; + } + + return -1; + } + + public get memoryUsage() { + return this._memoryUsage; + } + + public prepareMemoryForIncomingCheckpoint(maxMemoryUsage: number) { + const [, lastCheckpoint] = this._checkpoints[this._checkpoints.length - 1] ?? []; + if (lastCheckpoint == null) + return; + + while (this._memoryUsage + lastCheckpoint.size > maxMemoryUsage && this._checkpoints.length > 0) { + const [name, firstCheckpoint] = this._checkpoints.shift() ?? []; + if (firstCheckpoint == null) + break; + + this._memoryUsage -= firstCheckpoint.size; + firstCheckpoint.dispose(); + this._resizeCheckpointsCount(name, -1); + } + } + + public pruneToKeepUnderMemoryUsage(maxMemoryUsage: number, minCheckpointsToKeep: number = 1) { + while (this._memoryUsage > maxMemoryUsage && this._checkpoints.length > minCheckpointsToKeep && this._checkpoints.length > 0) { + const [checkpointName, checkpoint] = this._checkpoints.shift() ?? []; + if (checkpoint == null) + break; + + this._memoryUsage -= checkpoint.size; + checkpoint.dispose(); + this._resizeCheckpointsCount(checkpointName, -1); + } + } + + /** + * Prune checkpoints that come after the specified index (keep the specified index checkpoint) + */ + public pruneFromEndToIndex(minMaxPos: number) { + while (this._checkpoints.length > 0) { + const [name, checkpoint] = this._checkpoints.at(-1) ?? []; + if (checkpoint == null || checkpoint.maxPos <= minMaxPos) + break; + + this._memoryUsage -= checkpoint.size; + checkpoint.dispose(); + this._resizeCheckpointsCount(name, -1); + this._checkpoints.pop(); + } + } + + private _getCheckpointsCount(name: string | undefined) { + return this._namedCheckpoints.get(name) ?? 0; + } + + private _resizeCheckpointsCount(name: string | undefined, diff: 1 | -1) { + const currentCount = this._getCheckpointsCount(name); + const newCount = currentCount + diff; + + if (newCount < 0) + throw new Error("Checkpoint count cannot be negative"); + + if (newCount === 0) + this._namedCheckpoints.delete(name); + else + this._namedCheckpoints.set(name, newCount); + } + + private _pruneOldCheckpoints(name: string | undefined, pruneCount: number) { + if (pruneCount <= 0) + return; + + for (let i = 0; i < this._checkpoints.length && pruneCount > 0; i++) { + const [checkpointName, checkpoint] = this._checkpoints[i]!; + if (checkpointName !== name) + continue; + + this._memoryUsage -= checkpoint.size; + checkpoint.dispose(); + this._checkpoints.splice(i, 1); + this._resizeCheckpointsCount(name, -1); + i--; + pruneCount--; + } + } +} diff --git a/src/gguf/insights/GgufInsights.ts b/src/gguf/insights/GgufInsights.ts index f447a582..cc594ace 100644 --- a/src/gguf/insights/GgufInsights.ts +++ b/src/gguf/insights/GgufInsights.ts @@ -128,6 +128,7 @@ export class GgufInsights { } public get isRecurrent() { + // source: `llm_arch_is_recurrent` in `llama-arch.cpp` switch (this._ggufFileInfo.metadata?.general?.architecture) { case GgufArchitectureType.mamba: case GgufArchitectureType.mamba2: @@ -141,6 +142,27 @@ export class GgufInsights { return false; } + public get isHybrid() { + // source: `llm_arch_is_hybrid` in `llama-arch.cpp` + switch (this._ggufFileInfo.metadata?.general?.architecture) { + case GgufArchitectureType.jamba: + case GgufArchitectureType.falconH1: + case GgufArchitectureType.plamo2: + case GgufArchitectureType.granitehybrid: + case GgufArchitectureType.lfm2: + case GgufArchitectureType.lfm2moe: + case GgufArchitectureType.nemotronH: + case GgufArchitectureType.nemotronHMoe: + case GgufArchitectureType.qwen3next: + case GgufArchitectureType.kimiLinear: + case GgufArchitectureType.qwen35: + case GgufArchitectureType.qwen35moe: + return true; + } + + return false; + } + public get supportsRanking() { if (this._supportsRanking != null) return this._supportsRanking; @@ -215,7 +237,10 @@ export class GgufInsights { const kvUnified = false; const usingSWA = !swaFullCache && slidingWindow > 0 && slidingWindow < contextSize && (this.trainContextSize == null || slidingWindow < this.trainContextSize); - const swaPattern = getSwaPatternForArchitecture(this._ggufFileInfo.metadata?.general?.architecture); + const swaPattern = getSwaPatternForArchitecture( + this._ggufFileInfo.metadata?.general?.architecture, + this._ggufFileInfo.architectureMetadata?.attention?.sliding_window_pattern + ); const nonSwaPercent = swaPattern <= 1 ? 1 : (1 / (swaPattern + (flashAttention ? -0.5 : -1))); @@ -233,9 +258,27 @@ export class GgufInsights { : actualContextSize; const totalFileLayers = this._getTotalFileLayers(); + const totalLayersIncludingOutput = totalFileLayers + 1; + const finalModelGpuLayers = Math.max( + 0, + Math.min(modelGpuLayers ?? totalLayersIncludingOutput, totalLayersIncludingOutput) + ); const finalGpuLayers = Math.max(0, Math.min(modelGpuLayers ?? totalFileLayers, totalFileLayers)); const finalCpuLayers = totalFileLayers - finalGpuLayers; - const usingGpu = finalGpuLayers !== 0; + const usingGpu = finalModelGpuLayers !== 0; + + const { + gpuKVCacheSize, + cpuKVCacheSize, + gpuRecurrentStateSize, + cpuRecurrentStateSize + } = this._estimateContextCacheMemorySplitInBytes({ + kvSize, + sequences, + totalFileLayers, + finalModelGpuLayers, + usingGpu + }); const vocabularySize = llmData.vocab_size ?? this._ggufFileInfo.metadata.tokenizer?.ggml?.tokens?.length ?? 0; const embeddingSize = llmData.embedding_length ?? 0; @@ -374,16 +417,6 @@ export class GgufInsights { return (totalElements * 77.655 * (kvSize / 4096)) + defaultCalculationAdjustment; }; - const gpuKVCacheSize = usingGpu - ? this._estimateKvMemorySizeInBytes( - kvSize, - finalGpuLayers < totalFileLayers - ? (finalGpuLayers + 1) - : finalGpuLayers - ) - : 0; - const cpuKVCacheSize = this._estimateKvMemorySizeInBytes(kvSize, finalCpuLayers); - // source: `llama_context::graph_max_nodes` in `llama-context.cpp` const getMaxNodesMultiplier = (arch: GgufArchitectureType | undefined, nTokens: number): {min: number, multiplier: number} => { if (arch === GgufArchitectureType.qwen3next) @@ -402,7 +435,9 @@ export class GgufInsights { Math.min(actualContextSize, batchSize) ); const maxNodes = Math.max(maxNodesMultiplier.min, maxNodesMultiplier.multiplier * tensorInfo.length); - const cpuNodes = maxNodesMultiplier.multiplier * (tensorInfo.length * (finalCpuLayers / totalFileLayers)); + const cpuNodes = totalFileLayers === 0 + ? 0 + : maxNodesMultiplier.multiplier * (tensorInfo.length * (finalCpuLayers / totalFileLayers)); const gpuNodes = maxNodes - cpuNodes; const gpuComputeBufferSize = (this._llama._consts.ggmlTensorOverhead * gpuNodes) + @@ -413,15 +448,15 @@ export class GgufInsights { const graphOverheadMemory = (flashAttention || !includeGraphOverhead) ? 0 : estimateGraphOverheadMemory(); - const graphOverheadGpuSize = usingGpu + const graphOverheadGpuSize = (usingGpu && totalFileLayers > 0) ? Math.round(graphOverheadMemory * (finalGpuLayers / totalFileLayers)) : 0; const graphOverheadCpuSize = graphOverheadMemory - graphOverheadGpuSize; const outputBufferSize = estimateOutput(sequences); - const gpuVram = gpuKVCacheSize + gpuComputeBufferSize + graphOverheadGpuSize + outputBufferSize; - const cpuRam = cpuKVCacheSize + cpuComputeBufferSize + graphOverheadCpuSize + outputBufferSize; + const gpuVram = gpuKVCacheSize + gpuRecurrentStateSize + gpuComputeBufferSize + graphOverheadGpuSize + outputBufferSize; + const cpuRam = cpuKVCacheSize + cpuRecurrentStateSize + cpuComputeBufferSize + graphOverheadCpuSize + outputBufferSize; return { cpuRam, @@ -529,60 +564,145 @@ export class GgufInsights { return this._ggufFileInfo.architectureMetadata.block_count ?? this._determineNumberOfLayersFromTensorInfo(); } - /** @internal */ - public _estimateKvMemorySizeInBytes(kvSize: number, layers: number) { + private _estimateContextCacheMemorySplitInBytes({ + kvSize, + sequences, + totalFileLayers, + finalModelGpuLayers, + usingGpu + }: { + kvSize: number, + sequences: number, + totalFileLayers: number, + finalModelGpuLayers: number, + usingGpu: boolean + }) { // source: `llama_kv_cache_init` in `llama.cpp` + const architecture = this._ggufFileInfo.metadata.general?.architecture; const nHead = this._ggufFileInfo.architectureMetadata.attention?.head_count ?? 0; const nEmbd = this._ggufFileInfo.architectureMetadata.embedding_length ?? 0; const nEmbdHeadK = this._ggufFileInfo.architectureMetadata.attention?.key_length ?? ((nHead == 0) ? 0 : (nEmbd / nHead)); const nHeadKv: number | number[] = this._ggufFileInfo.architectureMetadata.attention?.head_count_kv ?? nHead; const nEmbdHeadV = this._ggufFileInfo.architectureMetadata.attention?.value_length ?? ((nHead == 0) ? 0 : nEmbd / nHead); - - const ssmDConv = this._ggufFileInfo.architectureMetadata.ssm?.conv_kernel ?? 0; - const ssmDInner = this._ggufFileInfo.architectureMetadata.ssm?.inner_size ?? 0; - const modelNEmbdKS = (this._ggufFileInfo.architectureMetadata.wkv?.head_size ?? 0) !== 0 - ? (this._ggufFileInfo.architectureMetadata.token_shift_count ?? 0) * nEmbd - : (ssmDConv > 0 ? (ssmDConv - 1) : 0) * ssmDInner; - - const ssmDState = this._ggufFileInfo.architectureMetadata.ssm?.state_size ?? 0; - const modelNEmbdVS = (this._ggufFileInfo.architectureMetadata.wkv?.head_size ?? 0) !== 0 - ? nEmbd * (this._ggufFileInfo.architectureMetadata.wkv?.head_size ?? 0) - : ssmDState * ssmDInner; - - let totalElementsK = 0; - let totalElementsV = 0; - for (let i = 0; i < layers; i++) { - const nHeadKvArrayItem: number = (typeof nHeadKv === "number") - ? nHeadKv - : nHeadKv[i] !== 0 - ? nHeadKv[i] - : nHead; - - const nEmbdKGqa = nEmbdHeadK * nHeadKvArrayItem; - const nEmbdVGqa = nEmbdHeadV * nHeadKvArrayItem; - - const totalNEmbdKGqa = nEmbdKGqa + modelNEmbdKS; - const totalNEmbdVGqa = nEmbdVGqa + modelNEmbdVS; - - totalElementsK += totalNEmbdKGqa * kvSize; - totalElementsV += totalNEmbdVGqa * kvSize; - } - - const keyTypeSize = this._ggufFileInfo.metadata.general?.architecture === GgufArchitectureType.mamba + const keyTypeSize = architecture === GgufArchitectureType.mamba // if `type_k` of `llama_context_params` changes to be configurable in `LlamaContext`, // this would have to depend on that value ? this._llama._consts.ggmlTypeF32Size : this._llama._consts.ggmlTypeF16Size; - const valueTypeSize = this._ggufFileInfo.metadata.general?.architecture === GgufArchitectureType.mamba + const valueTypeSize = architecture === GgufArchitectureType.mamba // if `type_v` of `llama_context_params` changes to be configurable in `LlamaContext`, // this would have to depend on that value ? this._llama._consts.ggmlTypeF32Size : this._llama._consts.ggmlTypeF16Size; - return ( - (totalElementsK * keyTypeSize) + - (totalElementsV * valueTypeSize) - ); + // source: `llama_model::load_tensors` in `llama-model.cpp` + // repeating layers are assigned to GPU from `i_gpu_start = n_layer + 1 - n_gpu_layers` + const gpuRepeatingLayerStart = Math.max(0, (totalFileLayers + 1) - finalModelGpuLayers); + const recurrentLayersByPattern = this.isRecurrent + ? "all" + : getRecurrentLayersPattern(architecture, this._ggufFileInfo.architectureMetadata); + let gpuKvElementsK = 0; + let gpuKvElementsV = 0; + let cpuKvElementsK = 0; + let cpuKvElementsV = 0; + let gpuRecurrentLayers = 0; + let cpuRecurrentLayers = 0; + + for (let i = 0; i < totalFileLayers; i++) { + const isGpuLayer = i >= gpuRepeatingLayerStart; + const isRecurrentLayer = isLayerRecurrent(recurrentLayersByPattern, i); + + if (isRecurrentLayer) { + if (isGpuLayer) + gpuRecurrentLayers++; + else + cpuRecurrentLayers++; + } else { + const nHeadKvLayer = resolveLayerHeadCountKv(nHeadKv, i, nHead); + const layerElementsK = nEmbdHeadK * nHeadKvLayer * kvSize; + const layerElementsV = nEmbdHeadV * nHeadKvLayer * kvSize; + + if (isGpuLayer) { + gpuKvElementsK += layerElementsK; + gpuKvElementsV += layerElementsV; + } else { + cpuKvElementsK += layerElementsK; + cpuKvElementsV += layerElementsV; + } + } + } + + const gpuKVCacheSize = usingGpu + ? ((gpuKvElementsK * keyTypeSize) + (gpuKvElementsV * valueTypeSize)) + : 0; + const cpuKVCacheSize = (cpuKvElementsK * keyTypeSize) + (cpuKvElementsV * valueTypeSize); + + const recurrentCellSize = Math.max(1, sequences); + const gpuRecurrentStateSize = usingGpu + ? this._estimateRecurrentStateMemorySizeInBytes(recurrentCellSize, gpuRecurrentLayers) + : 0; + const cpuRecurrentStateSize = this._estimateRecurrentStateMemorySizeInBytes(recurrentCellSize, cpuRecurrentLayers); + + return { + gpuKVCacheSize, + cpuKVCacheSize, + gpuRecurrentStateSize, + cpuRecurrentStateSize + }; + } + + private _estimateRecurrentStateMemorySizeInBytes(recurrentCellSize: number, layers: number) { + if (layers <= 0 || recurrentCellSize <= 0) + return 0; + + // source: `llama_memory_recurrent` + `llama_hparams::n_embd_r` / `llama_hparams::n_embd_s` in `llama.cpp` + const nHead = this._ggufFileInfo.architectureMetadata.attention?.head_count ?? 0; + const nEmbd = this._ggufFileInfo.architectureMetadata.embedding_length ?? 0; + const wkvHeadSize = this._ggufFileInfo.architectureMetadata.wkv?.head_size ?? 0; + const tokenShiftCount = this._ggufFileInfo.architectureMetadata.token_shift_count ?? 0; + const ssmDConv = this._ggufFileInfo.architectureMetadata.ssm?.conv_kernel ?? 0; + const ssmDInner = this._ggufFileInfo.architectureMetadata.ssm?.inner_size ?? 0; + const ssmDState = this._ggufFileInfo.architectureMetadata.ssm?.state_size ?? 0; + const ssmGroupCount = this._ggufFileInfo.architectureMetadata.ssm?.group_count ?? 0; + const shortConvLCache = this._ggufFileInfo.architectureMetadata.shortconv?.l_cache ?? 0; + const kdaHeadDim = this._ggufFileInfo.architectureMetadata.kda?.head_dim ?? 0; + const shortConvHistoryShift = 1; + const kdaQkvStateCount = 3; + const kdaDefaultConvKernel = 3; + const ssmBcStatePairCount = 2; + + const nEmbdR = wkvHeadSize !== 0 + ? tokenShiftCount * nEmbd + : shortConvLCache !== 0 + ? nEmbd * Math.max(0, shortConvLCache - shortConvHistoryShift) + : kdaHeadDim !== 0 + ? ( + kdaQkvStateCount * ( + ssmDConv > 0 + ? ssmDConv - shortConvHistoryShift + : kdaDefaultConvKernel + ) * (nHead * kdaHeadDim) + ) + : ( + ( + ssmDConv > 0 + ? (ssmDConv - shortConvHistoryShift) + : 0 + ) * (ssmDInner + (ssmBcStatePairCount * ssmGroupCount * ssmDState)) + ); + const nEmbdS = wkvHeadSize !== 0 + ? nEmbd * wkvHeadSize + : kdaHeadDim !== 0 + ? kdaHeadDim * kdaHeadDim * nHead + : ssmDState * ssmDInner; + + if (nEmbdR === 0 && nEmbdS === 0) + return 0; + + const recurrentTypeSize = this._llama._consts.ggmlTypeF32Size; + const bytesPerLayer = (nEmbdR + nEmbdS) * recurrentTypeSize; + + return layers * recurrentCellSize * bytesPerLayer; } /** @internal */ @@ -814,23 +934,38 @@ function ggmlPad(value: number, padding: number): number { return ((value + padding - 1) & ~(padding - 1)); } -function getSwaPatternForArchitecture(architecture?: GgufArchitectureType): number { +function getSwaPatternForArchitecture(architecture?: GgufArchitectureType, slidingWindowPattern?: number | number[]): number { + if (typeof slidingWindowPattern === "number") + return slidingWindowPattern; + // source: `llama_model::load_hparams` in `llama-model.cpp` - calls to `hparams.set_swa_pattern` switch (architecture) { case GgufArchitectureType.llama4: return 4; + case GgufArchitectureType.afmoe: + return 4; + case GgufArchitectureType.modernBert: + return 3; case GgufArchitectureType.phi3: return 1; + case GgufArchitectureType.plamo3: + return 8; case GgufArchitectureType.gemma2: return 2; case GgufArchitectureType.gemma3: return 6; case GgufArchitectureType.gemma3n: return 5; + case GgufArchitectureType.gemmaEmbedding: + return 6; case GgufArchitectureType.cohere2: return 4; + case GgufArchitectureType.olmo2: + return 4; case GgufArchitectureType.exaone4: return 4; + case GgufArchitectureType.exaoneMoe: + return 4; case GgufArchitectureType.gptOss: return 2; case GgufArchitectureType.smallthinker: @@ -840,6 +975,107 @@ function getSwaPatternForArchitecture(architecture?: GgufArchitectureType): numb return 1; } +function resolveLayerHeadCountKv(nHeadKv: number | number[], layerIndex: number, nHead: number): number { + if (typeof nHeadKv === "number") + return nHeadKv; + + const layerHeadCountKv = nHeadKv[layerIndex]; + if (layerHeadCountKv == null) + return nHead; + + return layerHeadCountKv; +} + +type RecurrentLayersPattern = "none" | "all" | + {type: "fullAttentionInterval", interval: number} | + {type: "headCountKvArray", values: number[]} | + {type: "headCountKvAndFeedForward", headCountKvValues: number[], feedForwardLength: number | number[] | undefined}; + +function getRecurrentLayersPattern( + architecture: GgufArchitectureType | undefined, + architectureMetadata: GgufFileInfo["architectureMetadata"] +): RecurrentLayersPattern { + const nHeadKv = architectureMetadata?.attention?.head_count_kv; + const feedForwardLength = architectureMetadata?.feed_forward_length as number | number[] | undefined; + const hasRecurrentHeadCountKvEntry = Array.isArray(nHeadKv) && nHeadKv.some((value) => value === 0); + + if (architecture === GgufArchitectureType.falconH1) + // source: `llama_model::load_hparams` in `llama-model.cpp`: + // `case LLM_ARCH_FALCON_H1` does `std::fill(..., true)` for `recurrent_layer_arr` + return "all"; + + if (architecture === GgufArchitectureType.nemotronH || architecture === GgufArchitectureType.nemotronHMoe) { + // source: `llama_model::load_hparams` in `llama-model.cpp`: + // `case LLM_ARCH_NEMOTRON_H / LLM_ARCH_NEMOTRON_H_MOE`: + // `recurrent_layer_arr[i] = (n_head_kv(i) == 0 && n_ff(i) == 0)` + if (Array.isArray(nHeadKv)) + return { + type: "headCountKvAndFeedForward", + headCountKvValues: nHeadKv, + feedForwardLength + }; + + if (nHeadKv === 0) { + if (typeof feedForwardLength === "number") + return feedForwardLength === 0 + ? "all" + : "none"; + + return "none"; + } + } + + if ( + typeof architectureMetadata?.full_attention_interval === "number" && + Number.isFinite(architectureMetadata?.full_attention_interval) && + architectureMetadata?.full_attention_interval > 0 && + ( + // source: `llama_model::load_hparams` in `llama-model.cpp` + // `case LLM_ARCH_QWEN3NEXT / LLM_ARCH_QWEN35 / LLM_ARCH_QWEN35MOE`: + // `hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0)` + architecture === GgufArchitectureType.qwen3next || + architecture === GgufArchitectureType.qwen35 || + architecture === GgufArchitectureType.qwen35moe || + hasRecurrentHeadCountKvEntry + ) + ) + return { + type: "fullAttentionInterval", + interval: Math.max(1, Math.floor(architectureMetadata?.full_attention_interval)) + }; + + if (hasRecurrentHeadCountKvEntry) + return { + type: "headCountKvArray", + values: nHeadKv + }; + + return "none"; +} + +function isLayerRecurrent(pattern: RecurrentLayersPattern, layerIndex: number): boolean { + if (pattern === "all") + return true; + else if (pattern === "none") + return false; + else if (pattern.type === "fullAttentionInterval") + return (layerIndex + 1) % pattern.interval !== 0; + else if (pattern.type === "headCountKvAndFeedForward") + return pattern.headCountKvValues[layerIndex] === 0 && + resolveLayerFeedForwardLength(pattern.feedForwardLength, layerIndex) === 0; + + return pattern.values[layerIndex] === 0; +} + +function resolveLayerFeedForwardLength(feedForwardLength: number | number[] | undefined, layerIndex: number): number { + if (typeof feedForwardLength === "number") + return feedForwardLength; + else if (Array.isArray(feedForwardLength)) + return feedForwardLength[layerIndex] ?? 0; + + return 0; +} + export function parseRankingTemplate(template: string | undefined | null): string | undefined { if (template == null) return undefined; diff --git a/src/gguf/types/GgufMetadataTypes.ts b/src/gguf/types/GgufMetadataTypes.ts index d8678400..b4c4b458 100644 --- a/src/gguf/types/GgufMetadataTypes.ts +++ b/src/gguf/types/GgufMetadataTypes.ts @@ -18,6 +18,7 @@ export const enum GgufArchitectureType { neoBert = "neo-bert", jinaBertV2 = "jina-bert-v2", jinaBertV3 = "jina-bert-v3", + eurobert = "eurobert", bloom = "bloom", stablelm = "stablelm", qwen = "qwen", @@ -71,6 +72,7 @@ export const enum GgufArchitectureType { t5 = "t5", t5encoder = "t5encoder", jais = "jais", + jais2 = "jais2", nemotron = "nemotron", nemotronH = "nemotron_h", nemotronHMoe = "nemotron_h_moe", @@ -112,10 +114,12 @@ export const enum GgufArchitectureType { rnd1 = "rnd1", panguEmbedded = "pangu-embedded", mistral3 = "mistral3", + paddleocr = "paddleocr", mimo2 = "mimo2", step35 = "step35", llamaEmbed = "llama-embed", maincoder = "maincoder", + kimiLinear = "kimi-linear", clip = "clip", unknown = "(unknown)" } @@ -298,7 +302,8 @@ export type GgufMetadataTokenizer = { "pixtral" | "mpt" | "starcoder" | "gpt-2" | "phi-2" | "jina-es" | "jina-de" | "jina-v1-en" | "jina-v2-es" | "jina-v2-de" | "jina-v2-code" | "refact" | "command-r" | "qwen2" | "stablelm2" | "olmo" | "dbrx" | "smaug-bpe" | "poro-chat" | "chatglm-bpe" | "viking" | "jais" | "tekken" | "smollm" | "codeshell" | "bloom" | "gpt3-finnish" | "exaone" | "exaone4" | "chameleon" | - "minerva-7b" | "megrez" | "gpt-4o" | "superbpe" | "trillion" | "bailingmoe" | "a.x-4.0" | "mellum" | string, + "minerva-7b" | "megrez" | "gpt-4o" | "superbpe" | "trillion" | "bailingmoe" | "a.x-4.0" | "mellum" | "modern-bert" | + "roberta-bpe" | "deepseek-r1-qwen" | "kormo" | "qwen35" | string, readonly tokens: readonly string[], readonly token_type: GgufMetadataTokenizerTokenType[], readonly token_type_count?: number, @@ -352,6 +357,7 @@ export type GgufMetadataDefaultArchitectureType = { readonly context_length?: number, readonly embedding_length?: number, readonly block_count?: number, + readonly full_attention_interval?: number, readonly feed_forward_length?: number, readonly use_parallel_residual?: boolean, readonly tensor_data_layout?: string, @@ -371,12 +377,14 @@ export type GgufMetadataDefaultArchitectureType = { readonly key_length?: number, readonly value_length?: number, readonly sliding_window?: number, + readonly sliding_window_pattern?: number | number[], readonly causal?: boolean }, readonly rope?: { readonly dimension_count?: number, readonly freq_base?: number, + readonly freq_base_swa?: number, readonly scale_linear?: number, readonly scaling?: { readonly type?: "none" | "linear" | "yarn" | string, @@ -390,7 +398,16 @@ export type GgufMetadataDefaultArchitectureType = { readonly conv_kernel?: number, readonly inner_size?: number, readonly state_size?: number, - readonly time_step_rank?: number + readonly time_step_rank?: number, + readonly group_count?: number + }, + + readonly kda?: { + readonly head_dim?: number + }, + + readonly shortconv?: { + readonly l_cache?: number }, readonly wkv?: { diff --git a/src/utils/getFirstWritableDir.ts b/src/utils/getFirstWritableDir.ts new file mode 100644 index 00000000..7f3c2535 --- /dev/null +++ b/src/utils/getFirstWritableDir.ts @@ -0,0 +1,72 @@ +import path from "path"; +import fs from "fs-extra"; +import {runningInElectron} from "./runtime.js"; +import {LruCache} from "./LruCache.js"; + +export async function getFirstWritableDir(dirPaths: string[]): Promise { + for (const dirPath of dirPaths) { + if (isPathInsideAsar(dirPath)) + continue; + + if (await isPathWritable(dirPath)) + return dirPath; + } + + return null; +} + +const writableCheckCache = new LruCache(20); +export async function isPathWritableWithCache(dirPath: string) { + const isWritable = writableCheckCache.get(dirPath) ?? await isPathWritable(dirPath); + writableCheckCache.set(dirPath, isWritable); + return isWritable; +} + +export async function isPathWritable(dirPath: string) { + let checkPath = path.resolve(dirPath); + + while (true) { + try { + const stat = await fs.lstat(checkPath); + if (!stat.isDirectory()) + return false; + + break; + } catch (error: any) { + if (error?.code !== "ENOENT") + return false; + + const nextCheckPath = path.dirname(checkPath); + if (nextCheckPath === checkPath) + return false; + + checkPath = nextCheckPath; + } + } + + try { + await fs.access(path.dirname(checkPath), fs.constants.W_OK | fs.constants.X_OK); + } catch { + return false; + } + + return true; +} + +/** + * Check whether a path is inside an asar when running in Electron, + * which means that the path is not writable and inaccessible outside the Electron app. + */ +export function isPathInsideAsar(dirPath: string, excludeUnpacked: boolean = false) { + if (!runningInElectron) + return false; + + const normalizedPath = dirPath.toLowerCase(); + if (normalizedPath.endsWith(".asar") || + (!excludeUnpacked && normalizedPath.endsWith(".asar.unpacked")) + ) + return true; + + return normalizedPath.includes(".asar" + path.sep) || + (!excludeUnpacked && normalizedPath.includes(".asar.unpacked" + path.sep)); +} diff --git a/src/utils/getTempDir.ts b/src/utils/getTempDir.ts new file mode 100644 index 00000000..2d505091 --- /dev/null +++ b/src/utils/getTempDir.ts @@ -0,0 +1,143 @@ +import path from "path"; +import os from "os"; +import fs from "fs-extra"; +import {cliHomedirTempDirectory, localTempDirectory} from "../config.js"; +import {isPathWritableWithCache} from "./getFirstWritableDir.js"; + +const currentDate = new Date(); +const currentRunId = [ + process.pid + ".", + String(currentDate.getFullYear()).padStart(4, "0"), + String(currentDate.getMonth() + 1).padStart(2, "0"), + String(currentDate.getDate()).padStart(2, "0"), + String(currentDate.getHours()).padStart(2, "0"), + String(currentDate.getMinutes()).padStart(2, "0"), + String(currentDate.getSeconds()).padStart(2, "0"), + String(currentDate.getMilliseconds()).padStart(3, "0"), + ".", + Math.random() + .toString(36) + .slice(2) +].join(""); + +let lastResolvedTempDir: string | undefined = undefined; +export async function getTempDir(helperTempDirs?: string[]) { + for (const tempDir of helperTempDirs ?? []) { + if (await isPathWritableWithCache(tempDir)) + return new FsPathHandle(path.join(tempDir, "nlc." + currentRunId)); + } + + if (lastResolvedTempDir != null) + return new FsPathHandle(lastResolvedTempDir); + + if (await isPathWritableWithCache(localTempDirectory)) + lastResolvedTempDir = path.join(localTempDirectory, currentRunId); + else if (await isPathWritableWithCache(os.tmpdir())) + lastResolvedTempDir = path.join(os.tmpdir(), "nlc." + currentRunId); + else if (await isPathWritableWithCache(cliHomedirTempDirectory)) + lastResolvedTempDir = path.join(cliHomedirTempDirectory, currentRunId); + + if (lastResolvedTempDir != null) + return new FsPathHandle(lastResolvedTempDir); + + return undefined; +} + +const pathUsages = new Map(); +function addPathUsage(tempDirPath: string) { + const usage = pathUsages.get(tempDirPath) ?? 0; + pathUsages.set(tempDirPath, usage + 1); + + if (usage === 0) + ensureExitEventRegistration(); +} + +function removePathUsage(tempDirPath: string, removeAsync: boolean = false): Promise | void { + const usage = pathUsages.get(tempDirPath); + if (usage == null) + return; + + if (usage <= 1) { + pathUsages.delete(tempDirPath); + + if (removeAsync) + return fs.remove(tempDirPath) + .then(doNothing) + .catch(doNothing); + + try { + fs.removeSync(tempDirPath); + } catch (err) { + // do nothing + } + + ensureExitEventRegistration(); + } else + pathUsages.set(tempDirPath, usage - 1); +} + +function removePathUsageSync(tempDirPath: string): void { + removePathUsage(tempDirPath); +} + +let onExitRegistered = false; +function ensureExitEventRegistration() { + if (pathUsages.size === 0 && onExitRegistered) { + process.off("beforeExit", onExit); + onExitRegistered = false; + } else if (pathUsages.size > 0 && !onExitRegistered) { + process.on("beforeExit", onExit); + onExitRegistered = true; + } +} + +function onExit() { + for (const tempDirPath of pathUsages.keys()) { + try { + fs.removeSync(tempDirPath); + } catch (err) { + // do nothing + } + } +} + +export class FsPathHandle { + public readonly path: string; + + private _finalizationRegistry: FinalizationRegistry; + private _disposed: boolean = false; + + public constructor(dirPath: string) { + this.path = dirPath; + this._finalizationRegistry = new FinalizationRegistry(removePathUsageSync); + + addPathUsage(this.path); + this._finalizationRegistry.register(this, this.path); + } + + public async dispose() { + if (this._disposed) + return; + + this._disposed = true; + this._finalizationRegistry.unregister(this); + await removePathUsage(this.path, true); + } + + public [Symbol.asyncDispose]() { + return this.dispose(); + } + + public [Symbol.dispose]() { + if (this._disposed) + return; + + this._disposed = true; + this._finalizationRegistry.unregister(this); + removePathUsage(this.path, false); + } +} + +function doNothing() { + +} diff --git a/test/modelDependent/functionary/functionaryModelGpuLayersOptions.test.ts b/test/modelDependent/functionary/functionaryModelGpuLayersOptions.test.ts index 07ebb3c0..c1e427c2 100644 --- a/test/modelDependent/functionary/functionaryModelGpuLayersOptions.test.ts +++ b/test/modelDependent/functionary/functionaryModelGpuLayersOptions.test.ts @@ -255,7 +255,7 @@ describe("functionary", () => { freeRam: s1GB * 4.5 }); expect(res.gpuLayers).to.eql(16); - expect(res.contextSize).to.toMatchInlineSnapshot("4096"); + expect(res.contextSize).to.toMatchInlineSnapshot("4608"); } try { await resolveGpuLayers(16, { @@ -354,7 +354,7 @@ describe("functionary", () => { unifiedMemorySize: s1GB * 5.3 }); expect(res.gpuLayers).to.eql(16); - expect(res.contextSize).to.toMatchInlineSnapshot("5376"); + expect(res.contextSize).to.toMatchInlineSnapshot("5632"); } try { await resolveGpuLayers(16, { @@ -962,7 +962,7 @@ describe("functionary", () => { freeRam: s1GB * 8 }); expect(res.gpuLayers).to.toMatchInlineSnapshot("7"); - expect(res.contextSize).to.toMatchInlineSnapshot("7936"); + expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { const res = await resolveGpuLayers("auto", { @@ -971,7 +971,7 @@ describe("functionary", () => { totalRam: s1GB * 8, freeRam: s1GB * 8 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("10"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("11"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1001,7 +1001,7 @@ describe("functionary", () => { totalRam: s1GB * 8, freeRam: s1GB * 8 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("16"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("17"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1011,7 +1011,7 @@ describe("functionary", () => { totalRam: s1GB * 8, freeRam: s1GB * 8 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("18"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("19"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1021,7 +1021,7 @@ describe("functionary", () => { totalRam: s1GB * 8, freeRam: s1GB * 8 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("19"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("20"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1031,7 +1031,7 @@ describe("functionary", () => { totalRam: s1GB * 8, freeRam: s1GB * 8 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("21"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("22"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1041,7 +1041,7 @@ describe("functionary", () => { totalRam: s1GB * 8, freeRam: s1GB * 8 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("23"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("24"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1115,7 +1115,7 @@ describe("functionary", () => { freeRam: s1GB * 5 }); expect(res.gpuLayers).to.toMatchInlineSnapshot("4"); - expect(res.contextSize).to.toMatchInlineSnapshot("5376"); + expect(res.contextSize).to.toMatchInlineSnapshot("5120"); } { const res = await resolveGpuLayers("auto", { @@ -1125,7 +1125,7 @@ describe("functionary", () => { freeRam: s1GB * 5 }); expect(res.gpuLayers).to.toMatchInlineSnapshot("7"); - expect(res.contextSize).to.toMatchInlineSnapshot("7936"); + expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { const res = await resolveGpuLayers("auto", { @@ -1134,7 +1134,7 @@ describe("functionary", () => { totalRam: s1GB * 5, freeRam: s1GB * 5 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("10"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("11"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1164,7 +1164,7 @@ describe("functionary", () => { totalRam: s1GB * 5, freeRam: s1GB * 5 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("16"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("17"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1174,7 +1174,7 @@ describe("functionary", () => { totalRam: s1GB * 5, freeRam: s1GB * 5 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("18"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("19"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1184,7 +1184,7 @@ describe("functionary", () => { totalRam: s1GB * 5, freeRam: s1GB * 5 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("19"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("20"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1194,7 +1194,7 @@ describe("functionary", () => { totalRam: s1GB * 5, freeRam: s1GB * 5 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("21"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("22"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1204,7 +1204,7 @@ describe("functionary", () => { totalRam: s1GB * 5, freeRam: s1GB * 5 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("23"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("24"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1324,7 +1324,7 @@ describe("functionary", () => { freeRam: s1GB * 8 }); expect(res.gpuLayers).to.be.gte(16); - expect(res.gpuLayers).to.toMatchInlineSnapshot("19"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("20"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1336,7 +1336,7 @@ describe("functionary", () => { }); expect(res.gpuLayers).to.be.gte(16); expect(res.gpuLayers).to.be.lte(24); - expect(res.gpuLayers).to.toMatchInlineSnapshot("19"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("20"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1349,7 +1349,7 @@ describe("functionary", () => { expect(res.gpuLayers).to.be.gte(16); expect(res.gpuLayers).to.be.lte(24); expect(res.gpuLayers).to.toMatchInlineSnapshot("16"); - expect(res.contextSize).to.toMatchInlineSnapshot("4096"); + expect(res.contextSize).to.toMatchInlineSnapshot("4608"); } }); @@ -1426,7 +1426,7 @@ describe("functionary", () => { freeRam: s1GB * 5 }); expect(res.gpuLayers).to.be.gte(16); - expect(res.gpuLayers).to.toMatchInlineSnapshot("19"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("20"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1438,7 +1438,7 @@ describe("functionary", () => { }); expect(res.gpuLayers).to.be.gte(16); expect(res.gpuLayers).to.be.lte(24); - expect(res.gpuLayers).to.toMatchInlineSnapshot("19"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("20"); expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } { @@ -1451,7 +1451,7 @@ describe("functionary", () => { expect(res.gpuLayers).to.be.gte(16); expect(res.gpuLayers).to.be.lte(24); expect(res.gpuLayers).to.toMatchInlineSnapshot("16"); - expect(res.contextSize).to.toMatchInlineSnapshot("4096"); + expect(res.contextSize).to.toMatchInlineSnapshot("4608"); } }); }); @@ -1480,7 +1480,7 @@ describe("functionary", () => { freeRam: s1GB * 8 }); expect(res.gpuLayers).to.toMatchInlineSnapshot("21"); - expect(res.contextSize).to.toMatchInlineSnapshot("6656"); + expect(res.contextSize).to.toMatchInlineSnapshot("6912"); expect(res.contextSize).to.be.gte(contextSize); } { @@ -1492,7 +1492,7 @@ describe("functionary", () => { freeRam: s1GB * 8 }); expect(res.gpuLayers).to.toMatchInlineSnapshot("7"); - expect(res.contextSize).to.toMatchInlineSnapshot("7936"); + expect(res.contextSize).to.toMatchInlineSnapshot("8192"); expect(res.contextSize).to.be.gte(contextSize); } { @@ -1569,7 +1569,7 @@ describe("functionary", () => { freeRam: s1GB * 7 }); expect(res.gpuLayers).to.toMatchInlineSnapshot("21"); - expect(res.contextSize).to.toMatchInlineSnapshot("6656"); + expect(res.contextSize).to.toMatchInlineSnapshot("6912"); expect(res.contextSize).to.be.gte(contextSize); } { @@ -1581,7 +1581,7 @@ describe("functionary", () => { freeRam: s1GB * 7 }); expect(res.gpuLayers).to.toMatchInlineSnapshot("7"); - expect(res.contextSize).to.toMatchInlineSnapshot("7936"); + expect(res.contextSize).to.toMatchInlineSnapshot("8192"); expect(res.contextSize).to.be.gte(contextSize); } { diff --git a/test/modelDependent/functionary/gguf/ggufInsights.test.ts b/test/modelDependent/functionary/gguf/ggufInsights.test.ts index 487573b5..fcd56a3a 100644 --- a/test/modelDependent/functionary/gguf/ggufInsights.test.ts +++ b/test/modelDependent/functionary/gguf/ggufInsights.test.ts @@ -213,8 +213,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "1.71GB", - "gpuVram": "330.78MB", + "cpuRam": "1.74GB", + "gpuVram": "266.78MB", } `); expect(makeEstimationReadable(ggufInsights.estimateContextResourceRequirements({ @@ -224,8 +224,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "1003.17MB", - "gpuVram": "290.78MB", + "cpuRam": "1019.17MB", + "gpuVram": "258.78MB", } `); expect(makeEstimationReadable(ggufInsights.estimateContextResourceRequirements({ @@ -235,8 +235,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "631.17MB", - "gpuVram": "270.78MB", + "cpuRam": "639.17MB", + "gpuVram": "254.78MB", } `); expect(makeEstimationReadable(ggufInsights.estimateContextResourceRequirements({ @@ -246,8 +246,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "445.17MB", - "gpuVram": "260.78MB", + "cpuRam": "449.17MB", + "gpuVram": "252.78MB", } `); @@ -258,8 +258,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "1022.98MB", - "gpuVram": "1.03GB", + "cpuRam": "1.03GB", + "gpuVram": "990.98MB", } `); expect(makeEstimationReadable(ggufInsights.estimateContextResourceRequirements({ @@ -269,8 +269,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "638.98MB", - "gpuVram": "654.98MB", + "cpuRam": "654.98MB", + "gpuVram": "622.98MB", } `); expect(makeEstimationReadable(ggufInsights.estimateContextResourceRequirements({ @@ -280,8 +280,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "446.98MB", - "gpuVram": "454.98MB", + "cpuRam": "454.98MB", + "gpuVram": "438.98MB", } `); expect(makeEstimationReadable(ggufInsights.estimateContextResourceRequirements({ @@ -291,8 +291,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "350.98MB", - "gpuVram": "354.98MB", + "cpuRam": "354.98MB", + "gpuVram": "346.98MB", } `); @@ -303,8 +303,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "250.5MB", - "gpuVram": "1.75GB", + "cpuRam": "282.5MB", + "gpuVram": "1.72GB", } `); expect(makeEstimationReadable(ggufInsights.estimateContextResourceRequirements({ @@ -314,8 +314,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "250.5MB", - "gpuVram": "1GB", + "cpuRam": "266.5MB", + "gpuVram": "1011.45MB", } `); expect(makeEstimationReadable(ggufInsights.estimateContextResourceRequirements({ @@ -325,8 +325,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "250.5MB", - "gpuVram": "643.45MB", + "cpuRam": "258.5MB", + "gpuVram": "635.45MB", } `); expect(makeEstimationReadable(ggufInsights.estimateContextResourceRequirements({ @@ -336,8 +336,8 @@ describe("gguf", async () => { batchSize: 512 }))).toMatchInlineSnapshot(` { - "cpuRam": "250.5MB", - "gpuVram": "451.45MB", + "cpuRam": "254.5MB", + "gpuVram": "447.45MB", } `); diff --git a/test/modelDependent/qwen3.5-0.8b/functions.test.ts b/test/modelDependent/qwen3.5-0.8b/functions.test.ts new file mode 100644 index 00000000..ab6d8148 --- /dev/null +++ b/test/modelDependent/qwen3.5-0.8b/functions.test.ts @@ -0,0 +1,73 @@ +import {describe, expect, test} from "vitest"; +import {defineChatSessionFunction, LlamaChatSession, QwenChatWrapper} from "../../../src/index.js"; +import {getModelFile} from "../../utils/modelFiles.js"; +import {getTestLlama} from "../../utils/getTestLlama.js"; + +describe("qwen3.5 0.8b", () => { + describe("functions", () => { + test("use checkpoints", {timeout: 1000 * 60 * 60 * 2}, async () => { + const modelPath = await getModelFile("Qwen3.5-0.8B-Q8_0.gguf"); + const llama = await getTestLlama(); + + const model = await llama.loadModel({ + modelPath + }); + const context = await model.createContext({ + contextSize: 4096 + }); + const chatSession = new LlamaChatSession({ + contextSequence: context.getSequence() + }); + expect(chatSession.chatWrapper).toBeInstanceOf(QwenChatWrapper); + + const promptOptions: Parameters[1] = { + functions: { + getNthWord: defineChatSessionFunction({ + description: "Get an n-th word", + params: { + type: "object", + properties: { + n: { + enum: [1, 2, 3, 4] + } + } + }, + handler(params) { + return ["very", "secret", "this", "hello"][params.n - 1]; + } + }) + } + } as const; + + const res = await chatSession.prompt("What is the second word? use the function", promptOptions); + + expect(res).to.toMatchInlineSnapshot(` + " + + + + The second word is "secret"." + `); + expect(chatSession.sequence.tokenMeter.usedInputTokens).toMatchInlineSnapshot("372"); + expect(chatSession.sequence.lastCheckpointIndex).toMatchInlineSnapshot("393"); + expect(chatSession.sequence.nextTokenIndex).toMatchInlineSnapshot("405"); + + const initialMeterState = chatSession.sequence.tokenMeter.getState(); + const res2 = await chatSession.prompt("Explain what this word means", { + ...promptOptions, + maxTokens: 15 + }); + + const diffMeterState = chatSession.sequence.tokenMeter.diff(initialMeterState); + expect(res2).to.toMatchInlineSnapshot(` + " + + The word "secret" means something that is hidden or" + `); + expect(diffMeterState.usedInputTokens).toMatchInlineSnapshot("73"); + expect(diffMeterState.usedInputTokens).to.be.lessThanOrEqual(80); + expect(chatSession.sequence.lastCheckpointIndex).toMatchInlineSnapshot("414"); + expect(chatSession.sequence.nextTokenIndex).toMatchInlineSnapshot("429"); + }); + }); +}); diff --git a/test/modelDependent/stableCode/stableCodeModelGpuLayersOptions.test.ts b/test/modelDependent/stableCode/stableCodeModelGpuLayersOptions.test.ts index 39a53ff8..6b88dc77 100644 --- a/test/modelDependent/stableCode/stableCodeModelGpuLayersOptions.test.ts +++ b/test/modelDependent/stableCode/stableCodeModelGpuLayersOptions.test.ts @@ -111,7 +111,7 @@ describe("stableCode", () => { freeVram: s1GB * 3 }); expect(res.gpuLayers).to.eql(16); - expect(res.contextSize).to.toMatchInlineSnapshot("7936"); + expect(res.contextSize).to.toMatchInlineSnapshot("8960"); } try { await resolveGpuLayers(16, { @@ -142,7 +142,7 @@ describe("stableCode", () => { ignoreMemorySafetyChecks: true }); expect(res.gpuLayers).to.eql(16); - expect(res.contextSize).to.toMatchInlineSnapshot("155"); + expect(res.contextSize).to.toMatchInlineSnapshot("179"); } @@ -174,7 +174,7 @@ describe("stableCode", () => { freeVram: s1GB * 6 }); expect(res.gpuLayers).to.eql(32); - expect(res.contextSize).to.toMatchInlineSnapshot("11264"); + expect(res.contextSize).to.toMatchInlineSnapshot("11520"); } try { await resolveGpuLayers(32, { @@ -345,8 +345,8 @@ describe("stableCode", () => { totalVram: s1GB * 6, freeVram: s1GB * 0.4 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("1"); - expect(res.contextSize).to.toMatchInlineSnapshot("11776"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("2"); + expect(res.contextSize).to.toMatchInlineSnapshot("14848"); } { const res = await resolveGpuLayers("auto", { @@ -361,8 +361,8 @@ describe("stableCode", () => { totalVram: s1GB * 6, freeVram: s1GB * 1.4 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("5"); - expect(res.contextSize).to.toMatchInlineSnapshot("8704"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("6"); + expect(res.contextSize).to.toMatchInlineSnapshot("8960"); } { const res = await resolveGpuLayers("auto", { @@ -504,7 +504,7 @@ describe("stableCode", () => { freeVram: s1GB * 4 }); expect(res.gpuLayers).to.eql(16); - expect(res.contextSize).to.toMatchInlineSnapshot("13312"); + expect(res.contextSize).to.toMatchInlineSnapshot("14592"); } try { await resolveGpuLayers({min: 16}, { @@ -531,8 +531,8 @@ describe("stableCode", () => { }); expect(res.gpuLayers).to.be.gte(16); expect(res.gpuLayers).to.be.lte(24); - expect(res.gpuLayers).to.toMatchInlineSnapshot("23"); - expect(res.contextSize).to.toMatchInlineSnapshot("8192"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("24"); + expect(res.contextSize).to.toMatchInlineSnapshot("8448"); } { const res = await resolveGpuLayers({min: 16, max: 24}, { @@ -541,8 +541,8 @@ describe("stableCode", () => { }); expect(res.gpuLayers).to.be.gte(16); expect(res.gpuLayers).to.be.lte(24); - expect(res.gpuLayers).to.toMatchInlineSnapshot("16"); - expect(res.contextSize).to.toMatchInlineSnapshot("7936"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("17"); + expect(res.contextSize).to.toMatchInlineSnapshot("8192"); } }); @@ -574,8 +574,8 @@ describe("stableCode", () => { totalVram: s1GB * 2, freeVram: s1GB * 1 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("3"); - expect(res.contextSize).to.toMatchInlineSnapshot("6400"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("4"); + expect(res.contextSize).to.toMatchInlineSnapshot("6144"); expect(res.contextSize).to.be.gte(contextSize); } { @@ -584,7 +584,7 @@ describe("stableCode", () => { totalVram: s1GB * 6, freeVram: s1GB * 4 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("21"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("22"); expect(res.contextSize).to.toMatchInlineSnapshot("9216"); expect(res.contextSize).to.be.gte(contextSize); } @@ -594,8 +594,8 @@ describe("stableCode", () => { totalVram: s1GB * 1, freeVram: s1GB * 1 }); - expect(res.gpuLayers).to.toMatchInlineSnapshot("2"); - expect(res.contextSize).to.toMatchInlineSnapshot("16384"); + expect(res.gpuLayers).to.toMatchInlineSnapshot("3"); + expect(res.contextSize).to.toMatchInlineSnapshot("11264"); expect(res.contextSize).to.be.gte(contextSize); } { diff --git a/test/standalone/chatWrappers/utils/resolveChatWrapper.test.ts b/test/standalone/chatWrappers/utils/resolveChatWrapper.test.ts index df8b5571..f8e0e94d 100644 --- a/test/standalone/chatWrappers/utils/resolveChatWrapper.test.ts +++ b/test/standalone/chatWrappers/utils/resolveChatWrapper.test.ts @@ -536,6 +536,164 @@ const qwen3Template = ` {%- endif %} `.slice(1, -1); +const qwen3_5Template = ` +{%- set image_count = namespace(value=0) %} +{%- set video_count = namespace(value=0) %} +{%- macro render_content(content, do_vision_count, is_system_content=false) %} + {%- if content is string %} + {{- content }} + {%- elif content is iterable and content is not mapping %} + {%- for item in content %} + {%- if 'image' in item or 'image_url' in item or item.type == 'image' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain images.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set image_count.value = image_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Picture ' ~ image_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|image_pad|><|vision_end|>' }} + {%- elif 'video' in item or item.type == 'video' %} + {%- if is_system_content %} + {{- raise_exception('System message cannot contain videos.') }} + {%- endif %} + {%- if do_vision_count %} + {%- set video_count.value = video_count.value + 1 %} + {%- endif %} + {%- if add_vision_id %} + {{- 'Video ' ~ video_count.value ~ ': ' }} + {%- endif %} + {{- '<|vision_start|><|video_pad|><|vision_end|>' }} + {%- elif 'text' in item %} + {{- item.text }} + {%- else %} + {{- raise_exception('Unexpected item type in content.') }} + {%- endif %} + {%- endfor %} + {%- elif content is none or content is undefined %} + {{- '' }} + {%- else %} + {{- raise_exception('Unexpected content type.') }} + {%- endif %} +{%- endmacro %} +{%- if not messages %} + {{- raise_exception('No messages provided.') }} +{%- endif %} +{%- if tools and tools is iterable and tools is not mapping %} + {{- '<|im_start|>system\\n' }} + {{- "# Tools\\n\\nYou have access to the following functions:\\n\\n" }} + {%- for tool in tools %} + {{- "\\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\\n" }} + {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n\\n\\n\\nvalue_1\\n\\n\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n\\n\\n\\n\\n\\nReminder:\\n- Function calls MUST follow the specified format: an inner block must be nested within XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n' }} + {%- if messages[0].role == 'system' %} + {%- set content = render_content(messages[0].content, false, true)|trim %} + {%- if content %} + {{- '\\n\\n' + content }} + {%- endif %} + {%- endif %} + {{- '<|im_end|>\\n' }} +{%- else %} + {%- if messages[0].role == 'system' %} + {%- set content = render_content(messages[0].content, false, true)|trim %} + {{- '<|im_start|>system\\n' + content + '<|im_end|>\\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" %} + {%- set content = render_content(message.content, false)|trim %} + {%- if not(content.startswith('') and content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if ns.multi_step_tool %} + {{- raise_exception('No user query found in messages.') }} +{%- endif %} +{%- for message in messages %} + {%- set content = render_content(message.content, true)|trim %} + {%- if message.role == "system" %} + {%- if not loop.first %} + {{- raise_exception('System message must be at the beginning.') }} + {%- endif %} + {%- elif message.role == "user" %} + {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\\n').split('')[-1].lstrip('\\n') %} + {%- set content = content.split('')[-1].lstrip('\\n') %} + {%- endif %} + {%- endif %} + {%- set reasoning_content = reasoning_content|trim %} + {%- if loop.index0 > ns.last_query_index %} + {{- '<|im_start|>' + message.role + '\\n\\n' + reasoning_content + '\\n\\n\\n' + content }} + {%- else %} + {{- '<|im_start|>' + message.role + '\\n' + content }} + {%- endif %} + {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {%- if loop.first %} + {%- if content|trim %} + {{- '\\n\\n\\n\\n' }} + {%- else %} + {{- '\\n\\n' }} + {%- endif %} + {%- else %} + {{- '\\n\\n\\n' }} + {%- endif %} + {%- if tool_call.arguments is mapping %} + {%- for args_name in tool_call.arguments %} + {%- set args_value = tool_call.arguments[args_name] %} + {{- '\\n' }} + {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %} + {{- args_value }} + {{- '\\n\\n' }} + {%- endfor %} + {%- endif %} + {{- '\\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\\n' }} + {%- elif message.role == "tool" %} + {%- if loop.previtem and loop.previtem.role != "tool" %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\\n\\n' }} + {{- content }} + {{- '\\n' }} + {%- if not loop.last and loop.nextitem.role != "tool" %} + {{- '<|im_end|>\\n' }} + {%- elif loop.last %} + {{- '<|im_end|>\\n' }} + {%- endif %} + {%- else %} + {{- raise_exception('Unexpected message role.') }} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\\n' }} + {%- if enable_thinking is defined and enable_thinking is true %} + {{- '\\n' }} + {%- else %} + {{- '\\n\\n\\n\\n' }} + {%- endif %} +{%- endif %} +`.slice(1, -1); + describe("resolveChatWrapper", () => { test("should resolve to specialized AlpacaChatWrapper", () => { @@ -698,7 +856,7 @@ describe("resolveChatWrapper", () => { expect(chatWrapper).to.be.instanceof(DeepSeekChatWrapper); }); - test("should resolve to specialized QwenChatWrapper", {timeout: 1000 * 60 * 60 * 2}, async () => { + test("should resolve to specialized QwenChatWrapper - QwQ", {timeout: 1000 * 60 * 60 * 2}, async () => { const chatWrapper = resolveChatWrapper({ customWrapperSettings: { jinjaTemplate: { @@ -710,7 +868,7 @@ describe("resolveChatWrapper", () => { expect(chatWrapper).to.be.instanceof(QwenChatWrapper); }); - test("should resolve to specialized QwenChatWrapper 2", {timeout: 1000 * 60 * 60 * 2}, async () => { + test("should resolve to specialized QwenChatWrapper 2 - Qwen 3", {timeout: 1000 * 60 * 60 * 2}, async () => { const chatWrapper = resolveChatWrapper({ customWrapperSettings: { jinjaTemplate: { @@ -722,6 +880,18 @@ describe("resolveChatWrapper", () => { expect(chatWrapper).to.be.instanceof(QwenChatWrapper); }); + test("should resolve to specialized QwenChatWrapper - Qwen 3.5", {timeout: 1000 * 60 * 60 * 2}, async () => { + const chatWrapper = resolveChatWrapper({ + customWrapperSettings: { + jinjaTemplate: { + template: qwen3_5Template + } + }, + fallbackToOtherWrappersOnJinjaError: false + }); + expect(chatWrapper).to.be.instanceof(QwenChatWrapper); + }); + test("should resolve to specialized HarmonyChatWrapper", {timeout: 1000 * 60 * 60 * 2}, async () => { const chatWrapper = resolveChatWrapper({ customWrapperSettings: { diff --git a/test/utils/modelFiles.ts b/test/utils/modelFiles.ts index fa307dc6..b8d4accc 100644 --- a/test/utils/modelFiles.ts +++ b/test/utils/modelFiles.ts @@ -21,7 +21,8 @@ const supportedModels = { "Llama-3.2-3B-Instruct.Q4_K_M.gguf": "https://huggingface.co/mradermacher/Llama-3.2-3B-Instruct-GGUF/resolve/main/Llama-3.2-3B-Instruct.Q4_K_M.gguf?download=true", "nomic-embed-text-v1.5.Q4_K_M.gguf": "https://huggingface.co/nomic-ai/nomic-embed-text-v1.5-GGUF/resolve/main/nomic-embed-text-v1.5.Q4_K_M.gguf?download=true", "bge-reranker-v2-m3-Q8_0.gguf": "https://huggingface.co/gpustack/bge-reranker-v2-m3-GGUF/resolve/main/bge-reranker-v2-m3-Q8_0.gguf?download=true", - "Qwen3-0.6B-Q8_0.gguf": "https://huggingface.co/Qwen/Qwen3-0.6B-GGUF/resolve/main/Qwen3-0.6B-Q8_0.gguf?download=true" + "Qwen3-0.6B-Q8_0.gguf": "https://huggingface.co/Qwen/Qwen3-0.6B-GGUF/resolve/main/Qwen3-0.6B-Q8_0.gguf?download=true", + "Qwen3.5-0.8B-Q8_0.gguf": "https://huggingface.co/unsloth/Qwen3.5-0.8B-GGUF/resolve/main/Qwen3.5-0.8B-Q8_0.gguf?download=true" } as const; export async function getModelFile(modelName: keyof typeof supportedModels) { diff --git a/vitest.config.ts b/vitest.config.ts index 25f4367f..871e1486 100644 --- a/vitest.config.ts +++ b/vitest.config.ts @@ -14,7 +14,10 @@ export default defineConfig({ "./test/utils/helpers/SpecialTokensTextSerializer.ts", "./test/utils/helpers/SpecialTokenSerializer.ts" ], - setupFiles: ["./test/utils/helpers/testSetup.ts"] + setupFiles: ["./test/utils/helpers/testSetup.ts"], + experimental: { + nodeLoader: false + } // uncomment for profiling // execArgv: [