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Release v1.36.0
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CHANGELOG.md

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## [Unreleased]
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## [1.36.0] - 2026-06-08
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### Added
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- [Presets] Add gemma-4-26B-A4B and gemma-4-12B entries to 24 GB tier
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### Changed
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- [Build] Default build parallelism to 80% of cores on non-SMT CPUs, physical cores on SMT CPUs
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- [Presets] Add direct-io, no-mmap, and fit=off to Qwen3.6 and gemma 16/24 GB tiers
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- [Presets] Add draft KV cache types (cache-type-k-draft/cache-type-v-draft) to spec-decode entries
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- [Presets] Combine draft-mtp with ngram-mod on Qwen3.6 16 GB tiers
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- [Presets] Rework gemma-4-31B 16 GB entry (q4_0 KV cache, no-mmproj-offload)
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- [Vendor] Bump llama.cpp submodule to d4c8e2c
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- [Presets] Rework gemma 24 GB tier to QAT q4_0 unquantized models with draft-mtp,ngram-mod speculative decoding
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- [Presets] Set parallel=1 on Qwen3.6 24 GB entries
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- [Presets] Lower Qwen3.6-27B 24 GB spec-draft-n-max to 3
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- [Vendor] Bump llama.cpp submodule to 42a0afd
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### Removed
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- [Presets] Drop gemma-4-26B-A4B and Qwen3-Coder-Next from 16 GB tier

presets/models_24GB_VRAM.ini

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[gemma-4-31B-it.IQ4_XS.gguf]
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alias = gemma-4-31B-it.IQ4_XS.gguf
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model = D:\AI\LLM\gguf\gemma-4-31B-it\gemma-4-31B-it.IQ4_XS.gguf
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mmproj = D:\AI\LLM\gguf\gemma-4-31B-it\mmproj.gemma-4-31B-it.BF16.gguf
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[gemma-4-31B-it-qat-q4_0.IQ4_XS.gguf]
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alias = gemma-4-31B-it-qat-q4_0.IQ4_XS.gguf
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model = D:\AI\LLM\gguf\gemma-4-31B-it-qat-q4_0-unquantized\gemma-4-31B-it-qat-q4_0-unquantized.IQ4_XS.gguf
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mmproj = D:\AI\LLM\gguf\gemma-4-31B-it-qat-q4_0-unquantized\mmproj.gemma-4-31B-it-qat-q4_0-unquantized.BF16.gguf
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spec-draft-model = D:\AI\LLM\gguf\gemma-4-31B-it-qat-q4_0-unquantized-assistant\mtp-gemma-4-31B-it-qat-q4_0-unquantized-assistant.Q8_0.gguf
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no-mmproj-offload = true
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ctx-size = 156928
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threads = 24
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parallel = 1
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n-gpu-layers = -1
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cache-type-k = q4_0
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cache-type-v = q4_0
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cache-type-k-draft = q8_0
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cache-type-v-draft = q8_0
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flash-attn = true
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reasoning = on
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jinja = true
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kv-unified = true
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ctx-checkpoints = 32
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cache-ram = 51200
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min-p = 0.0
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top-p = 0.95
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top-k = 64
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temp = 1.0
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spec-type = draft-mtp,ngram-mod
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spec-draft-n-max = 3
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spec-ngram-mod-n-match = 24
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spec-ngram-mod-n-min = 48
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spec-ngram-mod-n-max = 64
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direct-io = true
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no-mmap = true
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fit = off
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[gemma-4-26B-A4B-it-qat-q4_0.IQ4_XS.gguf]
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alias = gemma-4-26B-A4B-it-qat-q4_0.IQ4_XS.gguf
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model = D:\AI\LLM\gguf\gemma-4-26B-A4B-it-qat-q4_0-unquantized\gemma-4-26B-A4B-it-qat-q4_0-unquantized.IQ4_XS.gguf
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mmproj = D:\AI\LLM\gguf\gemma-4-26B-A4B-it-qat-q4_0-unquantized\mmproj.gemma-4-26B-A4B-it-qat-q4_0-unquantized.BF16.gguf
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spec-draft-model = D:\AI\LLM\gguf\gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant\mtp-gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant.Q8_0.gguf
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mmproj-offload = true
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ctx-size = 262144
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threads = 24
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parallel = 1
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n-gpu-layers = -1
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cache-type-k = q8_0
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cache-type-v = q8_0
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cache-type-k-draft = q8_0
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cache-type-v-draft = q8_0
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flash-attn = true
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reasoning = on
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jinja = true
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kv-unified = true
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ctx-checkpoints = 32
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cache-ram = 51200
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min-p = 0.0
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top-p = 0.95
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top-k = 64
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temp = 1.0
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spec-type = draft-mtp,ngram-mod
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spec-draft-n-max = 3
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spec-ngram-mod-n-match = 24
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spec-ngram-mod-n-min = 48
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spec-ngram-mod-n-max = 64
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direct-io = true
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no-mmap = true
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fit = off
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[gemma-4-12B-it-qat-q4_0.IQ4_XS.gguf]
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alias = gemma-4-12B-it-qat-q4_0.IQ4_XS.gguf
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model = D:\AI\LLM\gguf\gemma-4-12B-it-qat-q4_0-unquantized\gemma-4-12B-it-qat-q4_0-unquantized.IQ4_XS.gguf
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mmproj = D:\AI\LLM\gguf\gemma-4-12B-it-qat-q4_0-unquantized\mmproj.gemma-4-12B-it-qat-q4_0-unquantized.BF16.gguf
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spec-draft-model = D:\AI\LLM\gguf\gemma-4-12B-it-qat-q4_0-unquantized-assistant\mtp-gemma-4-12B-it-qat-q4_0-unquantized-assistant.Q8_0.gguf
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mmproj-offload = true
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ctx-size = 1048576
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threads = 24
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parallel = 4
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n-gpu-layers = -1
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cache-type-k = q8_0
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cache-type-v = q8_0
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cache-type-k-draft = q8_0
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kv-unified = true
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ctx-checkpoints = 32
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cache-ram = 51200
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min-p = 0.01
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min-p = 0.0
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top-p = 0.95
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top-k = 64
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temp = 1.0
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spec-type = ngram-mod
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spec-type = draft-mtp,ngram-mod
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spec-draft-n-max = 3
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spec-ngram-mod-n-match = 24
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spec-ngram-mod-n-min = 48
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spec-ngram-mod-n-max = 64
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direct-io = true
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no-mmap = true
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fit-target = 1024
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fit = off
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[Qwen3.6-27B.IQ4_XS.gguf]
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alias = Qwen3.6-27B.IQ4_XS.gguf
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mmproj-offload = true
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ctx-size = 262144
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threads = 24
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parallel = 2
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parallel = 1
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n-gpu-layers = -1
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cache-type-k = q4_0
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cache-type-v = q4_0
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temp = 0.6
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presence-penalty = 0
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spec-type = draft-mtp,ngram-mod
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spec-draft-n-max = 4
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spec-draft-n-max = 3
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spec-ngram-mod-n-match = 24
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spec-ngram-mod-n-min = 48
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spec-ngram-mod-n-max = 64
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mmproj-offload = true
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ctx-size = 262144
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threads = 24
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parallel = 2
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parallel = 1
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n-gpu-layers = -1
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cache-type-k = q4_0
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cache-type-v = q4_0

vendor/llama.cpp

Submodule llama.cpp updated 413 files

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