Downloads · 30 days
47
3% of all-time downloads
Mistral-Small-24B-Instruct-2501-3bit
mlx-community/Mistral-Small-24B-Instruct-2501-3bit
Mistral-Small-24B-Instruct-2501-3bit 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-2501-3bit was converted to MLX format from mistralai/Mistral-Small-24B-Instruct-2501 using mlx-lm version 0.21.1.
All-time downloads
1.5K
Public
Parameters
23.6B
10.3 GB on disk
Likes
2
Public
Repo makeup
Click a slice to open those files.
.safetensors10.3 GB · 100%
Parameter types
How the weights are stored.
U3223.6B · 100%
Base models
Model card
From the Hugging Face model README
mlx-community/Mistral-Small-24B-Instruct-2501-3bit
The Model mlx-community/Mistral-Small-24B-Instruct-2501-3bit was converted to MLX format from mistralai/Mistral-Small-24B-Instruct-2501 using mlx-lm version 0.21.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Mistral-Small-24B-Instruct-2501-3bit")
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)
- Library
- vllm
- Type
- mistral
- License
- apache-2.0
- Languages
- en, fr, de, es, it, pt
- Created
- Jan 30, 2025
- Updated
- Jan 30, 2025