---
license: apache-2.0
base_model: ConicCat/Gemma4-GarnetV2-31B
pipeline_tag: text-generation
datasets:
- ConicCat/Gutenberg-SFT
- ConicCat/Condor-SFT-Filtered
tags:
- mlx
---

# ailexleon/Gemma4-GarnetV2-31B-mlx-4Bit

The Model [ailexleon/Gemma4-GarnetV2-31B-mlx-4Bit](https://huggingface.co/ailexleon/Gemma4-GarnetV2-31B-mlx-4Bit) was converted to MLX format from [ConicCat/Gemma4-GarnetV2-31B](https://huggingface.co/ConicCat/Gemma4-GarnetV2-31B) using mlx-lm version **0.31.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("ailexleon/Gemma4-GarnetV2-31B-mlx-4Bit")

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)
```