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--- |
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base_model: Qwen/Qwen2.5-3B-Instruct |
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language: |
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- en |
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library_name: transformers |
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license: other |
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license_name: qwen-research |
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license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE |
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pipeline_tag: text-generation |
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tags: |
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- chat |
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- mlx |
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--- |
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# TheBlueObserver/Qwen2.5-3B-Instruct-MLX-c79ba |
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The Model [TheBlueObserver/Qwen2.5-3B-Instruct-MLX-c79ba](https://huggingface.co/TheBlueObserver/Qwen2.5-3B-Instruct-MLX-c79ba) was |
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converted to MLX format from [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) |
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using mlx-lm version **0.20.2**. |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("TheBlueObserver/Qwen2.5-3B-Instruct-MLX-c79ba") |
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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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``` |
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