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README.md
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<h1 style="margin-top: 0rem;">🌙 Kimi K2 Usage Guidelines</h1>
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</div>
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- For complete detailed instructions, see our guide: [docs.unsloth.ai/basics/kimi-k2](https://docs.unsloth.ai/basics/kimi-k2)
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It is recommended to have at least 128GB unified RAM memory to run the small quants. With 16GB VRAM and 256 RAM, expect 5+ tokens/sec.
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<h1 style="margin-top: 0rem;">🌙 Kimi K2 Usage Guidelines</h1>
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</div>
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- You can now use the latest update of [llama.cpp](https://github.com/ggml-org/llama.cpp) to run the model.
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- For complete detailed instructions, see our guide: [docs.unsloth.ai/basics/kimi-k2](https://docs.unsloth.ai/basics/kimi-k2)
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It is recommended to have at least 128GB unified RAM memory to run the small quants. With 16GB VRAM and 256 RAM, expect 5+ tokens/sec.
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