---
quantized_by: bartowski
pipeline_tag: text-generation
license: apache-2.0
base_model: lmstudio-community/Qwen2.5-Coder-14B-Instruct-MLX-4bit
license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct/blob/main/LICENSE
language:
- en
tags:
- code
- codeqwen
- chat
- qwen
- qwen-coder
- mlx
- mlx-my-repo
library_name: mlx
---

# introvoyz041/Qwen2.5-Coder-14B-Instruct-MLX-4bit-mlx-4Bit

The Model [introvoyz041/Qwen2.5-Coder-14B-Instruct-MLX-4bit-mlx-4Bit](https://huggingface.co/introvoyz041/Qwen2.5-Coder-14B-Instruct-MLX-4bit-mlx-4Bit) was converted to MLX format from [lmstudio-community/Qwen2.5-Coder-14B-Instruct-MLX-4bit](https://huggingface.co/lmstudio-community/Qwen2.5-Coder-14B-Instruct-MLX-4bit) using mlx-lm version **0.28.3**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("introvoyz041/Qwen2.5-Coder-14B-Instruct-MLX-4bit-mlx-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)
```