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---
base_model: Tesslate/UIGEN-T2-7B
tags:
- text-generation-inference
- transformers
- qwen2
- ui-generation
- peft
- lora
- tailwind-css
- html
- mlx
- mlx-my-repo
license: apache-2.0
language:
- en
---
# ubaitur5/UIGEN-T2-7B-mlx-4Bit
The Model [ubaitur5/UIGEN-T2-7B-mlx-4Bit](https://huggingface.co/ubaitur5/UIGEN-T2-7B-mlx-4Bit) was converted to MLX format from [Tesslate/UIGEN-T2-7B](https://huggingface.co/Tesslate/UIGEN-T2-7B) 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("ubaitur5/UIGEN-T2-7B-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)
```