metadata
language:
- en
- fr
- de
- es
- it
- pt
- zh
- ja
- ru
- ko
license: apache-2.0
library_name: vllm
base_model: mistralai/Mistral-Small-24B-Instruct-2501
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:
- mlx
mlx-community/Mistral-Small-24B-Instruct-2501-bf16
The Model mlx-community/Mistral-Small-24B-Instruct-2501-bf16 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-bf16")
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)