---
license: apache-2.0
tags:
- generated_from_trainer
- mlx
- mlx-my-repo
base_model: yanolja/EEVE-Korean-Instruct-7B-v2.0-Preview
model-index:
- name: yanolja/EEVE-Korean-Instruct-7B-v2.0-Preview
  results: []
---

# KYUNGYONG/EEVE-Korean-Instruct-7B-v2.0-Preview-mlx-4Bit

The Model [KYUNGYONG/EEVE-Korean-Instruct-7B-v2.0-Preview-mlx-4Bit](https://huggingface.co/KYUNGYONG/EEVE-Korean-Instruct-7B-v2.0-Preview-mlx-4Bit) was converted to MLX format from [yanolja/EEVE-Korean-Instruct-7B-v2.0-Preview](https://huggingface.co/yanolja/EEVE-Korean-Instruct-7B-v2.0-Preview) using mlx-lm version **0.22.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("KYUNGYONG/EEVE-Korean-Instruct-7B-v2.0-Preview-mlx-4Bit")

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)
```