metadata
library_name: mlx
inference: false
extra_gated_description: >-
If you want to learn more about how we process your personal data, please read
our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
tags:
- mistral-common
- mlx
license: other
pipeline_tag: text-generation
base_model: mistralai/Devstral-2-123B-Instruct-2512
mlx-community/Devstral-2-123B-Instruct-2512-8bit
This model mlx-community/Devstral-2-123B-Instruct-2512-8bit was converted to MLX format from mistralai/Devstral-2-123B-Instruct-2512 using mlx-lm version 0.28.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Devstral-2-123B-Instruct-2512-8bit")
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)