README.md

---
license: other
license_name: exaone
license_link: LICENSE
language:
- en
- ko
tags:
- lg-ai
- exaone
- exaone-3.5
- mlx
- mlx-my-repo
pipeline_tag: text-generation
library_name: transformers
base_model: LGAI-EXAONE/EXAONE-3.5-32B-Instruct
---

# alexander583/EXAONE-3.5-32B-Instruct-Q4-mlx

The Model [alexander583/EXAONE-3.5-32B-Instruct-Q4-mlx](https://huggingface.co/alexander583/EXAONE-3.5-32B-Instruct-Q4-mlx) was converted to MLX format from [LGAI-EXAONE/EXAONE-3.5-32B-Instruct](https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-32B-Instruct) 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("alexander583/EXAONE-3.5-32B-Instruct-Q4-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)
```