Downloads · 30 days
17
4% of all-time downloads
Mistral-Nemo-Instruct-2407-mlx-4Bit
BlueMoonlight/Mistral-Nemo-Instruct-2407-mlx-4Bit
Mistral-Nemo-Instruct-2407-mlx-4Bit is a machine learning model from BlueMoonlight. 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 BlueMoonlight/Mistral-Nemo-Instruct-2407-mlx-4Bit was converted to MLX format from mistralai/Mistral-Nemo-Instruct-2407 using mlx-lm version 0.29.1.
All-time downloads
438
Public
Parameters
12.2B
6.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors6.9 GB · 100%
Parameter types
How the weights are stored.
U3212.2B · 100%
Base models
Model card
From the Hugging Face model README
BlueMoonlight/Mistral-Nemo-Instruct-2407-mlx-4Bit
The Model BlueMoonlight/Mistral-Nemo-Instruct-2407-mlx-4Bit was converted to MLX format from mistralai/Mistral-Nemo-Instruct-2407 using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("BlueMoonlight/Mistral-Nemo-Instruct-2407-mlx-4Bit")
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)
- Library
- vllm
- Type
- mistral
- License
- apache-2.0
- Languages
- en, fr, de, es, it, pt
- Created
- Jan 27, 2026
- Updated
- Jan 27, 2026