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  1. Home
  2. /Repositories
  3. /engeldlgado/toshllm
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repoGitHubTrust 82 · PrimaryPublished yesterdayLive · yesterday

engeldlgado/toshllm

Run large language models locally on Intel Macs with AMD GPUs — native macOS app with Metal acceleration

Lineage graph

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

Covers

newsAsk HN: MacBook vs. Dedicated GPU for LLMnewsMy reasons to run local modelsnews[Benchmark] Kimi K2.7 Code Q3 on Mac Studio M3 Ultra + RTX PRO 6000 over llama.cpp RPC: prefill improves, no changes in token generation/decode

Related across the graph

newsMy reasons to run local modelsnews[Benchmark] Kimi K2.7 Code Q3 on Mac Studio M3 Ultra + RTX PRO 6000 over llama.cpp RPC: prefill improves, no changes in token generation/decodenewsAsk HN: MacBook vs. Dedicated GPU for LLM
Knowledge path·NMy reasons to run local models→N[Benchmark] Kimi K2.7 Code Q3 on Mac Studio M3 Ultra + RTX PRO 6000 over llama.cpp RPC: prefill improves, no changes in token generation/decode→NAsk HN: MacBook vs. Dedicated GPU for LLM→Rengeldlgado/toshllm

Topics

amd-gpuhackintoshintel-macllama-cppllmlocal-aimacosmetalswiftui

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Graph trust82Primary
Graph score52