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Daniel Han
@danielhanchen
Building @UnslothAI • Making open-source LLMs faster, better & more accessible • YC S24 • ex-NVIDIA ML
参加 April 2016
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Mistral Large 4 is here! We made some Unsloth quants & tested across many domains! 1bit retains 91% of top-1 accuracy across coding, agentic tasks, math etc whilst being 80% smaller (223GB vs 1.1TB FP8) They all work in Unsloth Desktop now! Thank you Mistral for day zero access!
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Mistral Le Chonk can now run locally! The 1 trillion parameter model runs on a Mac Studio with our 1-bit GGUF which retains 91% top-1 accuracy. Le Chonk is the strongest Western open model to date. GGUF: Guide:
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