How to use from the
Use from the
MLX library
# 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)

mlx-community/MiniMax-M2.7-nvfp4

This model mlx-community/MiniMax-M2.7-nvfp4 was converted to MLX format from MiniMaxAI/MiniMax-M2.7 using mlx-lm version 0.31.2.

Use with mlx

pip install mlx-lm
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)
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