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)