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title: Phox BQSM Model Weights
organization: emerging.systems
license: apache-2.0
tags:
- bqsm
- ternary
- wave-rider
- phoenix
- oscillator
- kuramoto
- inference-engine
- cpu
language: en
---
# Phox — BQSM Ternary Model Weights
Model weights for the Phox BQSM (Basin-Quotient-Machine) wave-rider inference engine.
## Overview
This repository contains ternary-quantized model weights for the Phoenix Brain — a Kuramoto oscillator interference engine that performs inference through traveling wave activation rather than traditional matrix multiplication.
### Architecture
- **Engine**: Phoenix Brain (`phoenix_brain.c`) — 4-ring Kuramoto core + demand-driven tendrils
- **Weights**: 4-level ternary quantization (80% sparsity, 2 bits per weight)
- **Compute**: AVX2 SIMD + OpenMP parallelism (CPU only)
- **No GPU required**: Engine is pure C with AVX2, runs on any x86-64 CPU
### Models
| File | Size | Description |
|------|------|-------------|
| `gemma4-12b-ternary-normed.bqsm` | 2.8GB | Gemma-4-12B ternary weights (normalized) |
| `gemma4-12b-bf16-ternary.bqsm` | 1.2GB | Gemma-4-12B BF16-derived ternary |
| `gemma4-12b.vocab` | 2.8MB | Token vocabulary |
| `hermes-3b-ternary.bqsm` | 766MB | Hermes-3-3B ternary weights |
| `hermes-3b.vocab` | 1.3MB | Token vocabulary |
| `phoenix-evolved.pbrain` | ~2MB | Evolved brain state file |
### Files
- `gemma4-12b-ternary-normed.bqsm` — Main 12B parameter model with normalized weights
- `tokenizer/` — Gemma 4 tokenizer files (compatible with HuggingFace transformers)
- `gemma4-12b.vocab` — Token-to-ID vocabulary mapping for the C engine
### Usage
**Compile the engine:**
```bash
cc -O3 -std=c11 -march=native -fopenmp phoenix_brain.c -o phoenix -lm
```
**Run inference:**
```bash
./phoenix gemma4-12b-ternary-normed.bqsm 20
```
**Chat mode (with ring buffer I/O):**
```bash
./phoenix gemma4-12b-ternary-normed.bqsm --chat
```
### Performance
- ~4.9 tok/s on 12B model (12-core CPU, AVX2)
- Model loaded via mmap (no RAM duplication)
- 48 layers of wave-rider physics per token
### Citation
If you use this work, please reference:
- Nicholas Bumgarner, emerging.systems
- "Basin-Quotient-Machine: Cross-Harmonic Computation"
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