---
license: apache-2.0
language:
- en
- zh
base_model: YOYO-AI/Qwen2.5-14B-YOYO-V5
pipeline_tag: text-generation
tags:
- merge
- mlx
library_name: mlx
---

# litmudoc/Qwen2.5-14B-1M-YOYO-V5-MLX-Q4

This model [litmudoc/Qwen2.5-14B-1M-YOYO-V5-MLX-Q4](https://huggingface.co/litmudoc/Qwen2.5-14B-1M-YOYO-V5-MLX-Q4) was
converted to MLX format from [YOYO-AI/Qwen2.5-14B-YOYO-V5](https://huggingface.co/YOYO-AI/Qwen2.5-14B-YOYO-V5)
using mlx-lm version **0.22.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("litmudoc/Qwen2.5-14B-1M-YOYO-V5-MLX-Q4")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```