README.md

metadata

base_model: mistralai/Mamba-Codestral-7B-v0.1
license: apache-2.0
tags:
  - mlx
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>.

mlx-community/Mamba-Codestral-7B-v0.1-4bit

The Model mlx-community/Mamba-Codestral-7B-v0.1-4bit was converted to MLX format from mistralai/Mamba-Codestral-7B-v0.1 using mlx-lm version 0.18.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Mamba-Codestral-7B-v0.1-4bit")

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)