---
base_model: win10/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-12.3B
library_name: transformers
tags:
- mergekit
- merge
- mlx
- mlx-my-repo
---

# Fmuaddib/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-12.3B-mlx-fp16

The Model [Fmuaddib/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-12.3B-mlx-fp16](https://huggingface.co/Fmuaddib/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-12.3B-mlx-fp16) was converted to MLX format from [win10/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-12.3B](https://huggingface.co/win10/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-12.3B) 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("Fmuaddib/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-12.3B-mlx-fp16")

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)
```