b77cc86ae9b9d71a49aabe7fcd975d5a6089befd51fc49a57defc3f250d59813
Browse files- README.md +4 -4
- model.safetensors +2 -2
README.md
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The Model [mlx-community/DeepSeek-R1-Distill-Qwen-1.5B-8bit](https://huggingface.co/mlx-community/DeepSeek-R1-Distill-Qwen-1.5B-8bit) was
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converted to MLX format from [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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using mlx-lm version **0.
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## Use with mlx
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model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-1.5B-8bit")
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prompt
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if tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, add_generation_prompt=True
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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The Model [mlx-community/DeepSeek-R1-Distill-Qwen-1.5B-8bit](https://huggingface.co/mlx-community/DeepSeek-R1-Distill-Qwen-1.5B-8bit) was
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converted to MLX format from [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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using mlx-lm version **0.20.2**.
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## Use with mlx
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model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-1.5B-8bit")
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prompt="hello"
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if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6ba6c1da3c96692bc9719e9e70973ec4e9193d79a2e4e49e6c183a017bab78e
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size 1888373799
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