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---
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language: en
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library_name: mlx
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tags:
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- mlx
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---
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---
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language: en
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license: mit
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library_name: mlx
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pipeline_tag: text-generation
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tags:
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- transformers
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- mlx
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base_model:
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- MiniMaxAI/MiniMax-M2
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---
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# mlx-community/MiniMax-M2-mlx-8bit-gs32
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This model [mlx-community/MiniMax-M2-mlx-8bit-gs32](https://huggingface.co/mlx-community/MiniMax-M2-mlx-8bit-gs32) was
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converted to MLX format from [MiniMaxAI/MiniMax-M2](https://huggingface.co/MiniMaxAI/MiniMax-M2)
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using mlx-lm version **0.28.1**.
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## Recipe:
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* 8-bit
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* group-size 32
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* 9 bits per weight (bpw)
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---
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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/MiniMax-M2-mlx-8bit-gs32")
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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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