repoGitHubTrust 82 · PrimaryPublished 3d agoLive · 1h ago
artalis-io/bitnet.c
Minimal, zero-dependency LLM inference in pure C11. CPU-first with NEON/AVX2 SIMD. Flash MoE (pread + LRU expert cache). TurboQuant 3-bit KV compression (8.9x less memory per session). 20+ GGUF quant formats. Compiles to WASM.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 60%A barebones CPU-only inference engine for Qwen 3, written from scratch in pure C →
- PossiblePossibly related (embedding) · 51%OpenAI and Broadcom announce chip designed for LLM inference at scale →
- PossiblePossibly related (embedding) · 50%BiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model Compression →
- PossiblePossibly related (embedding) · 51%Recent llama.cpp updates for SYCL/Intel →
- PossiblePossibly related (embedding) · 47%Show HN: misa77 - a codec that decodes 2x faster than LZ4 (at better ratios) →
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Related across the graph
paperBiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model CompressionnewsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsRecent llama.cpp updates for SYCL/IntelnewsShow HN: misa77 - a codec that decodes 2x faster than LZ4 (at better ratios)newsA barebones CPU-only inference engine for Qwen 3, written from scratch in pure C