---
license: gpl-3.0
datasets:
- Orion-zhen/meissa-unalignments
language:
- zh
- en
base_model: Orion-zhen/Qwen2.5-14B-Instruct-Uncensored
tags:
- mlx
---

# Fmuaddib/Qwen2.5-14B-Instruct-Uncensored-mlx-8Bit

The Model [Fmuaddib/Qwen2.5-14B-Instruct-Uncensored-mlx-8Bit](https://huggingface.co/Fmuaddib/Qwen2.5-14B-Instruct-Uncensored-mlx-8Bit) was converted to MLX format from [Orion-zhen/Qwen2.5-14B-Instruct-Uncensored](https://huggingface.co/Orion-zhen/Qwen2.5-14B-Instruct-Uncensored) using mlx-lm version **0.22.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Fmuaddib/Qwen2.5-14B-Instruct-Uncensored-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)
```