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README.md
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license_link: https://github.com/MiniMax-AI/MiniMax-M2.1/blob/main/LICENSE
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base_model:
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- MiniMaxAI/MiniMax-M2.1
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license_link: https://github.com/MiniMax-AI/MiniMax-M2.1/blob/main/LICENSE
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base_model:
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- MiniMaxAI/MiniMax-M2.1
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---
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# mlx-community/MiniMax-M2.1-8bit-gs32
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This model [mlx-community/MiniMax-M2.1-8bit-gs32](https://huggingface.co/mlx-community/MiniMax-M2.1-8bit-gs32) was
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converted to MLX format from [MiniMaxAI/MiniMax-M2.1](https://huggingface.co/MiniMaxAI/MiniMax-M2.1)
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using mlx-lm version **0.29.1**.
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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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You can find more similar MLX model quants for a single Apple Mac Studio M3 Ultra with 512 GB at https://huggingface.co/bibproj
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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-M2.1-8bit-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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