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---
license: apache-2.0
language:
- en
- zh
base_model: YOYO-AI/ZYH-LLM-Qwen2.5-14B-V5
pipeline_tag: text-generation
tags:
- merge
- mlx
- mlx-my-repo
---
# m-i/ZYH-LLM-Qwen2.5-14B-V5-mlx-8Bit
The Model [m-i/ZYH-LLM-Qwen2.5-14B-V5-mlx-8Bit](https://huggingface.co/m-i/ZYH-LLM-Qwen2.5-14B-V5-mlx-8Bit) was converted to MLX format from [YOYO-AI/ZYH-LLM-Qwen2.5-14B-V5](https://huggingface.co/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V5) using mlx-lm version **0.22.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("m-i/ZYH-LLM-Qwen2.5-14B-V5-mlx-8Bit")
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)
```