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Edd

Erland
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reacted to danielhanchen's post with 🤗 about 5 hours ago
You can now run Kimi K2 Thinking locally with our Dynamic 1-bit GGUFs: https://huggingface.co/unsloth/Kimi-K2-Thinking-GGUF We shrank the 1T model to 245GB (-62%) & retained ~85% of accuracy on Aider Polyglot. Run on >247GB RAM for fast inference. We also collaborated with the Moonshot AI Kimi team on a system prompt fix! 🥰 Guide + fix details: https://docs.unsloth.ai/models/kimi-k2-thinking-how-to-run-locally
reacted to danielhanchen's post with 🚀 about 5 hours ago
You can now run Kimi K2 Thinking locally with our Dynamic 1-bit GGUFs: https://huggingface.co/unsloth/Kimi-K2-Thinking-GGUF We shrank the 1T model to 245GB (-62%) & retained ~85% of accuracy on Aider Polyglot. Run on >247GB RAM for fast inference. We also collaborated with the Moonshot AI Kimi team on a system prompt fix! 🥰 Guide + fix details: https://docs.unsloth.ai/models/kimi-k2-thinking-how-to-run-locally
reacted to danielhanchen's post with ❤️ about 5 hours ago
You can now run Kimi K2 Thinking locally with our Dynamic 1-bit GGUFs: https://huggingface.co/unsloth/Kimi-K2-Thinking-GGUF We shrank the 1T model to 245GB (-62%) & retained ~85% of accuracy on Aider Polyglot. Run on >247GB RAM for fast inference. We also collaborated with the Moonshot AI Kimi team on a system prompt fix! 🥰 Guide + fix details: https://docs.unsloth.ai/models/kimi-k2-thinking-how-to-run-locally
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