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---
base_model: LGAI-EXAONE/EXAONE-Deep-32B
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
---
# mlx-community/EXAONE-Deep-32B-mlx-8Bit
The Model [mlx-community/EXAONE-Deep-32B-mlx-8Bit](https://huggingface.co/mlx-community/EXAONE-Deep-32B-mlx-8Bit) was converted to MLX format from [LGAI-EXAONE/EXAONE-Deep-32B](https://huggingface.co/LGAI-EXAONE/EXAONE-Deep-32B) 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("mlx-community/EXAONE-Deep-32B-mlx-8Bit")
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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