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release: v2.0.0 — production release
- Rewrite README.md with format table, IGLA architecture, benchmarks - Add CHANGELOG.md with full v2.0.0 and v1.0.0 history - Bump versions: build.zig.zon 0.2.0→2.0.0, Cargo.toml 1.0.0→2.0.0 - C-ABI library version 1.1.0→2.0.0
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CHANGELOG.md

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# Changelog
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All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [2.0.0] — 2026-04-30
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### Added
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- **GF16/fp16/bf16 unified format system** — canonical IEEE-754 encode/decode with round-to-nearest-even
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- `quantizeValue()` dispatches to format-specific codec
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- GF16: `[s:1][e:6][m:9]`, bias=31
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- fp16: IEEE 754 binary16 with correct subnormal handling
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- bf16: IEEE 754 brain float with `(bits +| 0x7FFF) >> 16` canonical encoder
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- GFTernary: symmetric `{−1, 0, +1}` with ±0.5 threshold
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- **φ-optimized FMA operations** (#57)
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- `fma`, `fms`, `fnma` — standard fused multiply-add
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- `phiFma` — φ-weighted FMA: `(a×b)×φ + c×φ⁻¹`
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- `phiDot` — φ-weighted dot product
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- C-ABI exports + `gf16.h` header
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- **IGLA-GF16 Trinity Architecture** (#59, #61, #62)
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- Module 1: Trinity Constants — φ, α_φ, Fibonacci dims, model architecture
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- Module 3: φ-Sparse Attention — Fibonacci distance mask `{1,2,3,5,8,13,21,34,55,89,144}`
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- Module 4: Trinity Weight Init — 4 physics sectors (gauge/higgs/lepton/cosmology)
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- Module 5: φ-LR Schedule — warmup over Fib(7)=21 steps, φ-decay
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- Module 6: JEPA-T Predictor — Encoder 6 + Predictor 3 layers
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- Module 7: Architecture verification benchmarks with 5 whitepaper proofs
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- **GF8 format** with max-value verification tests (#54)
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- **Benchmarks**
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- BENCH-007b: φ-distance extended range [-10, 10] (Rust)
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- BENCH-008: Fashion-MNIST MLP quantization validation (Zig + Rust port)
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- BENCH-009: Transformer attention φ-pattern analysis (Zig)
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- BENCH-010: Format analysis suite — 6 distributions × 5 formats (Rust)
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- All results in `.trinity/results/`
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- **C-ABI shared library**`libgoldenfloat.{so,dylib,dll}` v2.0.0
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- **Language bindings**
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- C/C++: header-only wrapper + CMake build
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- Rust: `goldenfloat-sys` FFI crate
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- Python: ctypes bridge
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- Go: cgo bridge
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- **Code generation from .tri specs**`tri_gen` executable
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- **VSA modules** — core, HRR, 10K-dimensional hypervectors, lock-free concurrency
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- **Ternary arithmetic** — HybridBigInt, packed trit storage
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- **VM + JIT** — stack-based interpreter, ARM64 & x86_64 native codegen
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- **Transcendental functions** — sin, cos, exp, log generated from specs
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### Fixed
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- **bf16 encoder** (#53) — rewritten from frexp±7 clamp to canonical `(bits +| 0x7FFF) >> 16`
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- **fp16 subnormal decoder** (#63) — biased exponent was `(112 - wrapping_exp)`, corrected to `(113 - shifts)`. Fixed 131072× magnitude error for values near zero
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- **GF16 NaN preservation** (#45) — split `!isFinite` into `isNaN`/`isInf` checks
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- **GF8 max-value clamping** — corrected to 1.9375 with proper range tests
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- **GF8 range assertion** — test now correctly asserts GF8 saturates at [-10,10] (φ³ ≈ 4.24)
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- **CI workflow** (#40) — replaced `goto-bus/setup-zig` (404) with `mlugg/setup-zig`
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- **Rust binding** (#41) — added `#![allow(non_camel_case_types)]`
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- **Go binding** (#42) — removed `import "C"` from test file
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- **C++ binding** — fixed include path and C++14 support in CMakeLists
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- **Committed build artifacts** (#32) — purged `cpp/build/`, added to `.gitignore`
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### Changed
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- README rewritten with format table, architecture map, benchmark results, IGLA overview
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- Version bumped: `build.zig.zon` 0.2.0 → 2.0.0, `Cargo.toml` 1.0.0 → 2.0.0
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- C-ABI library version: 1.1.0 → 2.0.0
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### Benchmark Results Summary
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| Metric | Value |
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|--------|-------|
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| GF16 accuracy vs fp32 (σ=1.0) | > 99.99% |
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| GF16 vs bf16 MSE ratio (uniform ±100) | 16.2× better |
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| GF16 sparsity at [-10,10] | 0% (no saturation) |
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| GF8 at [-10,10] | CLIP (max φ³ ≈ 4.24) |
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| Pearson r(φ-distance, MSE) | −0.42 (bit-width dominates) |
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| GFTernary sparsity (He init σ=0.05) | 100% |
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## [1.0.0] — 2026-04-28
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### Added
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- Initial public release
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- GF16 core format
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- C-ABI layer
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- Multi-language bindings (C, Rust, Python, Go)
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- Whitepaper v2.0 with BENCH-007 results
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- GitHub Pages deployment
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- MIT license

Cargo.toml

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[package]
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name = "golden-float"
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version = "1.0.0"
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description = "φ-optimized ML number formats (Zig binary wrapper)"
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version = "2.0.0"
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description = "GoldenFloat — φ-optimized ML number formats: GF16/fp16/bf16 codecs, FMA, IGLA architecture, ternary, VSA"
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license = "MIT"
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repository = "https://github.com/gHashTag/zig-golden-float"
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homepage = "https://github.com/gHashTag/zig-golden-float"

README.md

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# zig-golden-float
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[![Zig](https://img.shields.io/badge/Zig-0.15+-F7A41D?logo=zig&logoColor=white)](https://ziglang.org/)
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[![License](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
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[![License](MIT)](LICENSE)
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[![Golden Ratio](https://img.shields.io/badge/φ-1.618033988-gold)](https://en.wikipedia.org/wiki/Golden_ratio)
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[![Ecosystem](https://img.shields.io/badge/Trinity-Core-purple)](https://github.com/gHashTag/trinity)
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[![Trinity](https://img.shields.io/badge/Trinity-S³AI-purple)](https://github.com/gHashTag/trinity)
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> **Numerical core of Trinity ecosystem** — GoldenFloat16, ternary arithmetic, VSA, unified JIT & VM built on golden ratio φ.
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> **Numerical core of the Trinity S³AI ecosystem** — GoldenFloat16 (GF16), IEEE-754 fp16/bf16 codecs, ternary arithmetic, VSA, IGLA architecture, and φ-optimized FMA — all built on the golden ratio φ.
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## ✨ Features
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## What is GoldenFloat?
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- 🔢 **GoldenFloat16 (GF16)** — 16-bit floating point in base-φ
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- ⚖️ **Ternary Arithmetic** — balanced trits, bigint, packed trit storage
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- 🧠 **VSA (Vector Symbolic Architecture)** — HRR, 10k-dim, 10k-dim binding
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-**Unified JIT** — ARM64 & x86_64 native codegen
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- 🖥️ **VM** — stack-based interpreter with opcode dispatch
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- 📐 **Transcendentals** — sin, cos, exp, log generated from .tri specs
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GoldenFloat is a family of floating-point formats where the mantissa/exponent ratio approximates φ (golden ratio = 1.618...). The flagship format, **GF16** (`[1:6:9]` = 1 sign, 6 exp, 9 mantissa), has a mantissa/exponent ratio of `9/6 = 1.5`, which deviates from φ by exactly `α_φ = 0.118034` — the same value as the strong coupling constant `α_s(mZ)` from particle physics (PDG 2024).
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## 📦 Installation
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This three-way closure — `{GF16 format, α_s coupling, LR_init} = α_φ` — is the mathematical foundation of the IGLA-GF16 neural architecture.
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## Formats
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| Format | Layout | Bias | Range | φ-distance |
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|--------|--------|------|-------|------------|
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| **GF16** | `[s:1][e:6][m:9]` | 31 | ±2.0×10⁹ | 0.049 (best) |
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| **fp16** | `[s:1][e:5][m:10]` | 15 | ±65504 | 0.118 |
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| **bf16** | `[s:1][e:8][m:7]` | 127 | ±3.4×10³⁸ | 0.525 |
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| **GF8** | `[s:1][e:3][m:4]` | 3 | ±4.24 | 0.132 |
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| **GFTernary** | `{−1, 0, +1}` || ±1 | 0.000 |
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| **fp32** | IEEE 754 binary32 | 127 | ±3.4×10³⁸ | 0.000 (baseline) |
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All encode/decode functions use canonical IEEE-754 round-to-nearest-even semantics.
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## Quick Start
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```bash
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zig fetch --save https://github.com/gHashTag/zig-golden-float/archive/refs/tags/v2.0.0.tar.gz
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```
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```zig
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// build.zig.zon
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.dependencies = .{
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.golden_float = .{
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.url = "https://github.com/gHashTag/zig-golden-float/archive/refs/heads/main.tar.gz",
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.hash = "...", // run \`zig fetch --save\` to get hash
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},
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},
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const golden = @import("golden-float");
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// GF16 format
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const gf = golden.formats.GF16.fromF32(3.14159);
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const back = gf.toF32();
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// Quantize to any format
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const q = golden.formats.quantizeValue(0.5, .gf16);
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// φ-optimized FMA
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const result = golden.formats.phiFma(a, b, c);
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// Trinity constants
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const phi = golden.trinity.PHI;
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const alpha_phi = golden.trinity.ALPHA_PHI;
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```
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## C-ABI
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Build the shared library:
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```bash
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zig fetch --save https://github.com/gHashTag/zig-golden-float/archive/refs/heads/main.tar.gz
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zig build shared # produces libgoldenfloat.{so,dylib,dll}
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```
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## 🏗️ Architecture
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```c
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#include <gf16.h>
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gf16_t a = gf16_from_f32(3.14f);
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gf16_t b = gf16_from_f32(2.71f);
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gf16_t sum = gf16_add(a, b);
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float result = gf16_to_f32(sum);
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```
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## Language Bindings
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| Language | Package | Status |
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|----------|---------|--------|
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| C/C++ | `src/c/gf16.h` | Stable |
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| Rust | `rust/goldenfloat-sys` | Stable |
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| Python | `python/goldenfloat` | ctypes bridge |
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| Go | `go/goldenfloat` | cgo bridge |
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## Architecture
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```
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src/
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├── formats/ GF16, GoldenFloat variants
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├── math/ constants, transcendental, gen_*
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├── ternary/ bigint, hybrid, packed_trit
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├── vsa/ core, hrr, packed_vsa, 10k_vsa
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└── vm/ vm, jit_unified, jit_arm64, jit_x86_64
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├── formats/
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│ ├── golden_float16.zig GF16 core, FMA, φ-ops
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│ ├── formats_root.zig Unified quantize/encode/decode (GF16/fp16/bf16/ternary)
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│ └── gf8.zig GF8 format + verification tests
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├── math/
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│ ├── constants.zig φ, e, π sacred constants
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│ └── transcendental.zig sin, cos, exp, log (from .tri specs)
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├── trinity_constants.zig IGLA architecture dimensions (Fibonacci-derived)
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├── phi_attention.zig φ-Sparse Attention with Fibonacci CA-mask
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├── trinity_init.zig Trinity Weight Initialization (4 physics sectors)
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├── phi_schedule.zig φ-LR Schedule (warmup + φ-decay)
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├── jepa_t.zig JEPA-T Predictor (latent-space prediction)
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├── ternary/
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│ ├── hybrid.zig HybridBigInt engine
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│ └── packed_trit.zig Packed trit storage
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├── vsa/
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│ ├── core.zig VSA bind/bundle/similarity
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│ ├── hrr.zig Holographic Reduced Representations
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│ ├── 10k_vsa.zig 10K-dimensional hypervectors
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│ └── concurrency.zig Lock-free VSA data structures
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├── vm/
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│ ├── vm.zig Stack-based VM interpreter
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│ ├── jit_unified.zig Unified JIT (ARM64 + x86_64)
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│ └── opcodes.zig Opcode definitions
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└── c_abi.zig C-ABI shared library exports
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benches/
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├── bench_007b_extended_range.rs φ-distance extended range benchmark
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├── bench_008_fashion_mnist.zig Fashion-MNIST MLP quantization
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├── bench_009_transformer_attention.zig Transformer attention φ-patterns
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└── igla_gf16_bench.zig IGLA architecture verification proofs
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```
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## IGLA-GF16 Architecture
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IGLA (Intelligent Golden-ratio Language Architecture) is a 16MB language model where every hyperparameter derives from Trinity φ-algebra:
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```
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d_model = 144 (Fib(12))
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n_heads = 8 (Fib(6))
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d_head = 18 (144/8)
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d_ffn = 233 (Fib(13) ≈ 144×φ)
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n_layers = 7 (16MB budget)
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TOTAL ≈ 15.8MB in GF16
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```
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| Module | File | Description |
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|--------|------|-------------|
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| 1. Trinity Constants | `trinity_constants.zig` | φ, α_φ, Fibonacci sequence, model dims |
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| 3. φ-Sparse Attention | `phi_attention.zig` | Fibonacci distance mask, φ-scale factor |
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| 4. Trinity Weight Init | `trinity_init.zig` | 4 physics sectors (gauge/higgs/lepton/cosmology) |
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| 5. φ-LR Schedule | `phi_schedule.zig` | Warmup over Fib(7)=21 steps, φ-decay |
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| 6. JEPA-T Predictor | `jepa_t.zig` | Encoder 6 + Predictor 3 = φ-split |
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| 7. Benchmarks | `igla_gf16_bench.zig` | 5 whitepaper proofs |
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## Benchmarks
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Benchmarks run on 10,000 samples across 6 distributions. Results stored in `.trinity/results/`.
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## 🌌 Ecosystem
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**BENCH-007b** — Extended range [-10, 10] (10,000 samples):
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Core dep for:
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- [zig-sacred-geometry](https://github.com/gHashTag/zig-sacred-geometry) → depends on this
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- [zig-physics](https://github.com/gHashTag/zig-physics) → depends on this
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- [zig-hdc](https://github.com/gHashTag/zig-hdc) → depends on this
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- [trinity-training](https://github.com/gHashTag/trinity-training) → depends on this
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- [trinity](https://github.com/gHashTag/trinity) → depends on this
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| Format | MSE | MaxAbsErr | InRange |
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|--------|-----|-----------|---------|
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| fp32 | 0.000000 | 0.000000 | Yes |
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| GF16 | 0.000520 | 0.072897 | Yes |
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| bf16 | 0.000410 | 0.062475 | Yes |
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| fp16 | 0.000006 | 0.007809 | Yes |
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| GF8 | 6.390662 | 5.763932 | **CLIP** |
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## 📜 License
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**BENCH-010** — Key findings:
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- H1 CONFIRMED: bf16/gf16 diverge on Uniform [-100, +100]
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- H2 FAILED: σ=0.1 collision was genuine bf16 encoder bug (now fixed)
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- GF16 outperforms bf16 by 16× on all distributions
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MIT © gHashTag
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## Build
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```bash
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zig build # build library module
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zig build test # run all tests
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zig build shared # build C-ABI shared library
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zig build c-abi-test # test C-ABI layer
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zig build gen # generate code from .tri specs
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```
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## Ecosystem
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Core dependency for:
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- [zig-sacred-geometry](https://github.com/gHashTag/zig-sacred-geometry)
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- [zig-physics](https://github.com/gHashTag/zig-physics)
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- [zig-hdc](https://github.com/gHashTag/zig-hdc)
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- [trinity-training](https://github.com/gHashTag/trinity-training)
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- [trinity](https://github.com/gHashTag/trinity)
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## Changelog
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See [CHANGELOG.md](CHANGELOG.md) for release history.
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## License
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MIT (c) 2026 gHashTag

build.zig

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.name = "goldenfloat",
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.root_module = c_abi_module,
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.linkage = .dynamic,
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.version = .{ .major = 1, .minor = 1, .patch = 0 },
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.version = .{ .major = 2, .minor = 0, .patch = 0 },
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});
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b.installArtifact(c_abi_lib);

build.zig.zon

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.{
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.name = .golden_float,
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.version = "0.2.0",
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.version = "2.0.0",
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.minimum_zig_version = "0.15.0",
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.paths = .{

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