--- 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"