metadata
base_model:
- anthracite-core/Mistral-Small-3.1-24B-Instruct-2503-HF
license: mit
pipeline_tag: text-generation
mlx-community/Mistral-Small-3.1-24B-Instruct-TXT-2503-3bit-AWQ
This model mlx-community/Mistral-Small-3.1-24B-Instruct-TXT-2503-3bit-AWQ was converted to MLX format from anthracite-core/Mistral-Small-3.1-24B-Instruct-2503-HF using mlx-lm version 0.24.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Mistral-Small-3.1-24B-Instruct-TXT-2503-3bit-AWQ")
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)