library_name: transformers
tags:

• mlx
• mlx-my-repo
  base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored

mlx-community/Llama-3.2-3B-Instruct-uncensored-6bit

The Model mlx-community/Llama-3.2-3B-Instruct-uncensored-6bit was converted to MLX format from chuanli11/Llama-3.2-3B-Instruct-uncensored using mlx-lm version 0.22.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Llama-3.2-3B-Instruct-uncensored-6bit")

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)