metadata
language:
- en
license: apache-2.0
tags:
- chat
- mlx
- code
- codeqwen
- chat
- qwen
- qwen-coder
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
pipeline_tag: text-generation
ccckblaze/Qwen2.5-Coder-7B-Instruct-bf16-MLX
The Model ccckblaze/Qwen2.5-Coder-7B-Instruct-bf16-MLX was converted to MLX format from Qwen/Qwen2.5-Coder-7B-Instruct using mlx-lm version 0.22.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("ccckblaze/Qwen2.5-Coder-7B-Instruct-bf16-MLX")
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)