Instructions to use mlx-community/MiniMax-M2.7-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/MiniMax-M2.7-nvfp4 with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/MiniMax-M2.7-nvfp4") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use mlx-community/MiniMax-M2.7-nvfp4 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/MiniMax-M2.7-nvfp4" --prompt "Once upon a time"
| pipeline_tag: text-generation | |
| license: other | |
| license_name: modified-mit | |
| license_link: https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE | |
| library_name: mlx | |
| tags: | |
| - mlx | |
| base_model: MiniMaxAI/MiniMax-M2.7 | |
| # mlx-community/MiniMax-M2.7-nvfp4 | |
| This model [mlx-community/MiniMax-M2.7-nvfp4](https://huggingface.co/mlx-community/MiniMax-M2.7-nvfp4) was | |
| converted to MLX format from [MiniMaxAI/MiniMax-M2.7](https://huggingface.co/MiniMaxAI/MiniMax-M2.7) | |
| using mlx-lm version **0.31.2**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("mlx-community/MiniMax-M2.7-nvfp4") | |
| 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) | |
| ``` | |