README.md

---
base_model: TheDrummer/Tiger-Gemma-9B-v3
tags:
- mlx
---

# AlfRjw/Tiger-Gemma-9B-v3-Q3-mlx

The Model [AlfRjw/Tiger-Gemma-9B-v3-Q3-mlx](https://huggingface.co/AlfRjw/Tiger-Gemma-9B-v3-Q3-mlx) was converted to MLX format from [TheDrummer/Tiger-Gemma-9B-v3](https://huggingface.co/TheDrummer/Tiger-Gemma-9B-v3) using mlx-lm version **0.20.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("AlfRjw/Tiger-Gemma-9B-v3-Q3-mlx")

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)
```