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---
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](https://huggingface.co/ccckblaze/Qwen2.5-Coder-7B-Instruct-bf16-MLX/) was converted to MLX format from [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) using mlx-lm version **0.22.4**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
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)
``` |