DQN-Labs/mistral-7b-it-0.3-mlx-quantized

This model DQN-Labs/mistral-7b-it-0.3-mlx-quantized was converted to MLX format from mistralai/Mistral-7B-Instruct-v0.3 using mlx-lm version 0.30.7.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("DQN-Labs/mistral-7b-it-0.3-mlx-quantized")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)