---
base_model: testmoto/gemma-2-llm2024-dpo-02
library_name: transformers
tags:
- mergekit
- merge
- mlx
- mlx
---

# testmoto/gemma-2-9b-mix_coding_magpie

The Model [testmoto/gemma-2-9b-mix_coding_magpie](https://huggingface.co/testmoto/gemma-2-9b-mix_coding_magpie) was
converted to MLX format from [testmoto/gemma-2-llm2024-dpo-02](https://huggingface.co/testmoto/gemma-2-llm2024-dpo-02)
using mlx-lm version **0.20.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("testmoto/gemma-2-9b-mix_coding_magpie")

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)
```