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mlx-community/Mistral-Small-24B-Instruct-2501-4bit
Mistral-Small-24B-Instruct-2501-4bit is a machine learning model from mlx-community. 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 mlx-community/Mistral-Small-24B-Instruct-2501-4bit was converted to MLX format from mistralai/Mistral-Small-24B-Instruct-2501 using mlx-lm version 0.21.0.
Downloads · 30 days
874
6% of all-time downloads
All-time downloads
14.9K
Public
Parameters
23.6B
26.5 GB on disk
Likes
15
Public
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.safetensors13.3 GB · 100%
How the weights are stored.
U3223.6B · 100%
From the Hugging Face model README
The Model mlx-community/Mistral-Small-24B-Instruct-2501-4bit was converted to MLX format from mistralai/Mistral-Small-24B-Instruct-2501 using mlx-lm version 0.21.0.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Mistral-Small-24B-Instruct-2501-4bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)