---
language:
- en
- de
- fr
- zh
- pt
- nl
- ru
- ko
- it
- es
license: cc-by-nc-4.0
metrics:
- comet
pipeline_tag: translation
tags:
- mlx
base_model: Unbabel/TowerInstruct-7B-v0.2
---

# ethicalabs/TowerInstruct-7B-v0.2-mlx-4Bit

The Model [ethicalabs/TowerInstruct-7B-v0.2-mlx-4Bit](https://huggingface.co/ethicalabs/TowerInstruct-7B-v0.2-mlx-4Bit) was converted to MLX format from [Unbabel/TowerInstruct-7B-v0.2](https://huggingface.co/Unbabel/TowerInstruct-7B-v0.2) 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("ethicalabs/TowerInstruct-7B-v0.2-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)
```