| tags: | |
| - unsloth | |
| - mlx | |
| base_model: unsloth/minimax-m2.5 | |
| pipeline_tag: text-generation | |
| license: other | |
| license_name: modified-mit | |
| license_link: https://github.com/MiniMax-AI/MiniMax-M2.5/blob/main/LICENSE | |
| library_name: mlx | |
| # async0x42/unsloth_MiniMax-M2.5-4bit | |
| This model [async0x42/unsloth_MiniMax-M2.5-4bit](https://huggingface.co/async0x42/unsloth_MiniMax-M2.5-4bit) was | |
| converted to MLX format from [unsloth/minimax-m2.5](https://huggingface.co/unsloth/minimax-m2.5) | |
| using mlx-lm version **0.30.7**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("async0x42/unsloth_MiniMax-M2.5-4bit") | |
| prompt = "hello" | |
| if tokenizer.chat_template is not None: | |
| messages = [{"role": "user", "content": prompt}] | |
| prompt = tokenizer.apply_chat_template( | |
| messages, add_generation_prompt=True, return_dict=False, | |
| ) | |
| response = generate(model, tokenizer, prompt=prompt, verbose=True) | |
| ``` | |