Tmanzz
tmanzz
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reacted
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danielhanchen's
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6 days ago
New DeepSeek-R1-0528 1.65-bit Dynamic GGUF!
Run the model locally even easier! Will fit on a 192GB Macbook and run at 7 tokens/s.
DeepSeek-R1-0528 GGUFs: https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF
Qwen3-8B DeepSeek-R1-0528 GGUFs: https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF
And read our Guide: https://docs.unsloth.ai/basics/deepseek-r1-0528
reacted
to
danielhanchen's
post
with 🤝
6 days ago
New DeepSeek-R1-0528 1.65-bit Dynamic GGUF!
Run the model locally even easier! Will fit on a 192GB Macbook and run at 7 tokens/s.
DeepSeek-R1-0528 GGUFs: https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF
Qwen3-8B DeepSeek-R1-0528 GGUFs: https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF
And read our Guide: https://docs.unsloth.ai/basics/deepseek-r1-0528
reacted
to
danielhanchen's
post
with 🤗
6 days ago
New DeepSeek-R1-0528 1.65-bit Dynamic GGUF!
Run the model locally even easier! Will fit on a 192GB Macbook and run at 7 tokens/s.
DeepSeek-R1-0528 GGUFs: https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF
Qwen3-8B DeepSeek-R1-0528 GGUFs: https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF
And read our Guide: https://docs.unsloth.ai/basics/deepseek-r1-0528
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