---
base_model: LGAI-EXAONE/EXAONE-Deep-7.8B
base_model_relation: finetune
license: other
license_name: exaone
license_link: LICENSE
language:
- en
- ko
tags:
- lg-ai
- exaone
- exaone-deep
- mlx
- mlx-my-repo
pipeline_tag: text-generation
library_name: transformers
---

# JJAnderson/EXAONE-Deep-7.8B-mlx-6Bit

The Model [JJAnderson/EXAONE-Deep-7.8B-mlx-6Bit](https://huggingface.co/JJAnderson/EXAONE-Deep-7.8B-mlx-6Bit) was converted to MLX format from [LGAI-EXAONE/EXAONE-Deep-7.8B](https://huggingface.co/LGAI-EXAONE/EXAONE-Deep-7.8B) using mlx-lm version **0.21.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("JJAnderson/EXAONE-Deep-7.8B-mlx-6Bit")

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)
```