| base_model: Tesslate/UIGEN-X-8B | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - qwen3 | |
| - ui-generation | |
| - tailwind-css | |
| - html | |
| - reasoning | |
| - step-by-step-generation | |
| - hybrid-thinking | |
| - tool-calling | |
| - mlx | |
| license: apache-2.0 | |
| language: | |
| - en | |
| pipeline_tag: text-generation | |
| library_name: mlx | |
| # UIGEN-X-8B-dwq6-mlx | |
| This model [UIGEN-X-8B-dwq6-mlx](https://huggingface.co/UIGEN-X-8B-dwq6-mlx) was | |
| converted to MLX format from [Tesslate/UIGEN-X-8B](https://huggingface.co/Tesslate/UIGEN-X-8B) | |
| using mlx-lm version **0.26.0**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("UIGEN-X-8B-dwq6-mlx") | |
| prompt = "hello" | |
| if tokenizer.chat_template is not None: | |
| messages = [{"role": "user", "content": prompt}] | |
| prompt = tokenizer.apply_chat_template( | |
| messages, add_generation_prompt=True | |
| ) | |
| response = generate(model, tokenizer, prompt=prompt, verbose=True) | |
| ``` | |