README.md

metadata

license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.3
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

ivanfioravanti/Mistral-7B-Instruct-v0.3-italian-wine

The Model ivanfioravanti/Mistral-7B-Instruct-v0.3-italian-wine was converted to MLX format from mistralai/Mistral-7B-Instruct-v0.3 using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("ivanfioravanti/Mistral-7B-Instruct-v0.3-italian-wine")

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)