documentation
Reference docs for hipfire — install, CLI, models, quantization, multi-GPU, benchmarks. Rendered from the warpfront/hipfire beta branch.
GPU diagrams live on /learn
Looking for how AMD GPUs compute?
Distilled decks on silicon math — not API reference. Start with RDNA / WMMA (consumer) or CDNA / MFMA (data-center), then the why-hipfire framing.
start here
Getting started
Install and first run.
CLI reference
Every subcommand.
Models
Curated tags & BYO.
Quantize
HF / safetensors / GGUF to hipfire formats.
Serve
OpenAI-compatible HTTP API.
Architecture
Engine layout, dispatch, and model paths.
Quantization design
MQ V2, HFQ, asym KV, and FWHT math.
Multi-GPU
PP / EP and memory budget.
Benchmarks
Measured performance per architecture.