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---
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)
```
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