metadata
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE
language:
- en
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
pipeline_tag: text-generation
library_name: mlx
tags:
- code
- codeqwen
- chat
- qwen
- qwen-coder
- mlx
mlx-community/Qwen2.5-Coder-7B-Instruct
The Model mlx-community/Qwen2.5-Coder-7B-Instruct-MLX was converted to MLX format from Qwen/Qwen2.5-Coder-7B-Instruct using mlx-lm version 0.31.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Qwen2.5-Coder-7B-Instruct")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)