---
license: gemma
library_name: transformers
tags:
- conversational
- mlx
base_model: AXCXEPT/EZO-Humanities-9B-gemma-2-it
pipeline_tag: text-generation
---

# thr3a/EZO-Humanities-9B-gemma-2-it-mlx

The Model [thr3a/EZO-Humanities-9B-gemma-2-it-mlx](https://huggingface.co./thr3a/EZO-Humanities-9B-gemma-2-it-mlx) was converted to MLX format from [AXCXEPT/EZO-Humanities-9B-gemma-2-it](https://huggingface.co./AXCXEPT/EZO-Humanities-9B-gemma-2-it) using mlx-lm version **0.18.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("thr3a/EZO-Humanities-9B-gemma-2-it-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)
```