File size: 1,203 Bytes
ff21358 4550601 ff21358 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 |
---
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
---
# alexgusevski/EXAONE-Deep-7.8B-mlx-6Bit
The Model [alexgusevski/EXAONE-Deep-7.8B-mlx-6Bit](https://huggingface.co/alexgusevski/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**.
**P.S. Don't forget to change the prompt template according to this https://github.com/LG-AI-EXAONE/EXAONE-Deep#lm-studio**
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("alexgusevski/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)
```
|