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  1. Home
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  3. /ohdearquant/lattice
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repoGitHubTrust 82 · PrimaryPublished 11d agoLive · 9d ago

ohdearquant/lattice

Run, quantize, and fine-tune LLMs on Apple Silicon. Pure Rust, no Python, no CUDA, no ONNX

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Covers

newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]newsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)

Related across the graph

newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]
Knowledge path·NOpenAI and Broadcom announce chip designed for LLM inference at scale→NI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)→NHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]→Rohdearquant/lattice

Topics

apple-siliconembeddingsfine-tuninggraphdbinferencellmlocal-llmmachine-learningquantizationretrieval

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Graph trust82Primary
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