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 | |
# KYUNGYONG/EXAONE-Deep-32B-mlx-3Bit | |
The Model [KYUNGYONG/EXAONE-Deep-32B-mlx-3Bit](https://huggingface.co/KYUNGYONG/EXAONE-Deep-32B-mlx-3Bit) was converted to MLX format from [LGAI-EXAONE/EXAONE-Deep-32B](https://huggingface.co/LGAI-EXAONE/EXAONE-Deep-32B) 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("KYUNGYONG/EXAONE-Deep-32B-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) | |
``` | |