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CuckmeisterFuller/Mistral-Small-24B-Instruct-2501-4bit-Q2-mlx
Mistral-Small-24B-Instruct-2501-4bit-Q2-mlx is a machine learning model from CuckmeisterFuller. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for vllm. The card lists the license as apache-2.0.
The Model CuckmeisterFuller/Mistral-Small-24B-Instruct-2501-4bit-Q2-mlx was converted to MLX format from mlx-community/Mistral-Small-24B-Instruct-2501-4bit using mlx-lm version 0.20.5.
Downloads · 30 days
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.safetensors7.4 GB · 100%
From the Hugging Face model README
The Model CuckmeisterFuller/Mistral-Small-24B-Instruct-2501-4bit-Q2-mlx was converted to MLX format from mlx-community/Mistral-Small-24B-Instruct-2501-4bit using mlx-lm version 0.20.5.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("CuckmeisterFuller/Mistral-Small-24B-Instruct-2501-4bit-Q2-mlx")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)