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---
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)
```
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