metadata
base_model: Qwen/Qwen2.5-72B-Instruct
language:
- en
license: other
license_name: qwen
license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- chat
- mlx
mlx-community/Qwen2.5-72B-Instruct-4bit
The Model mlx-community/Qwen2.5-72B-Instruct-4bit was converted to MLX format from Qwen/Qwen2.5-72B-Instruct 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/Qwen2.5-72B-Instruct-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)