44 lines
1.1 KiB
Markdown
44 lines
1.1 KiB
Markdown
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---
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base_model: Qwen/Qwen2.5-Coder-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-Coder-3B-Instruct/blob/main/LICENSE
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pipeline_tag: text-generation
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tags:
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- code
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- codeqwen
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- chat
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- qwen
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- qwen-coder
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- mlx
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---
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# mlx-community/Qwen2.5-Coder-3B-Instruct-bf16
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The Model [mlx-community/Qwen2.5-Coder-3B-Instruct-bf16](https://huggingface.co/mlx-community/Qwen2.5-Coder-3B-Instruct-bf16) was converted to MLX format from [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct) using mlx-lm version **0.19.3**.
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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("mlx-community/Qwen2.5-Coder-3B-Instruct-bf16")
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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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