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---
license: gemma
library_name: transformers
pipeline_tag: image-text-to-text
base_model: mlabonne/gemma-3-27b-it-abliterated
tags:
- mlx
---
# KYUNGYONG/gemma-3-27b-it-abliterated-mlx-3Bit
The Model [KYUNGYONG/gemma-3-27b-it-abliterated-mlx-3Bit](https://huggingface.co/KYUNGYONG/gemma-3-27b-it-abliterated-mlx-3Bit) was converted to MLX format from [mlabonne/gemma-3-27b-it-abliterated](https://huggingface.co/mlabonne/gemma-3-27b-it-abliterated) using mlx-lm version **0.22.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("KYUNGYONG/gemma-3-27b-it-abliterated-mlx-3Bit")
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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