| 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) | |
| ``` | |