65 lines
1.2 KiB
Markdown
65 lines
1.2 KiB
Markdown
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---
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language:
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- en
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- fr
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- de
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- es
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- pt
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- it
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- ja
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- ko
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- ru
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- zh
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- ar
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- fa
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- id
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- ms
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- ne
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- pl
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- ro
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- sr
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- sv
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- tr
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- uk
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- vi
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- hi
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- bn
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license: apache-2.0
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library_name: mlx
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inference: false
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base_model: mistralai/Devstral-Small-2505
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extra_gated_description: If you want to learn more about how we process your personal
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data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
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pipeline_tag: text-generation
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tags:
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- mlx
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---
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# mlx-community/Devstral-Small-2505-bf16
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This model [mlx-community/Devstral-Small-2505-bf16](https://huggingface.co/mlx-community/Devstral-Small-2505-bf16) was
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converted to MLX format from [mistralai/Devstral-Small-2505](https://huggingface.co/mistralai/Devstral-Small-2505)
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using mlx-lm version **0.24.1**.
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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/Devstral-Small-2505-bf16")
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prompt = "hello"
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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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```
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