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"
File size: 1,424 Bytes
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"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "]~!b[",
"clean_up_tokenization_spaces": false,
"eos_token": "[e~[",
"errors": "replace",
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"<issue_closed>",
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"is_local": true,
"model_max_length": 40960000,
"pad_token": null,
"tokenizer_class": "GPT2Tokenizer",
"tool_parser_type": "minimax_m2",
"unk_token": "]!d~["
}
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