| license: gemma | |
| language: | |
| - en | |
| base_model: SicariusSicariiStuff/X-Ray_Alpha | |
| datasets: | |
| - SicariusSicariiStuff/UBW_Tapestries | |
| widget: | |
| - text: X-Ray_Alpha | |
| output: | |
| url: https://huggingface.co/SicariusSicariiStuff/X-Ray_Alpha/resolve/main/Images/X-Ray_Alpha.png | |
| tags: | |
| - mlx | |
| # Daizee/X-Ray_Alpha-mlx-4Bit | |
| The Model [Daizee/X-Ray_Alpha-mlx-4Bit](https://huggingface.co/Daizee/X-Ray_Alpha-mlx-4Bit) was converted to MLX format from [SicariusSicariiStuff/X-Ray_Alpha](https://huggingface.co/SicariusSicariiStuff/X-Ray_Alpha) using mlx-lm version **0.29.1**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("Daizee/X-Ray_Alpha-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) | |
| ``` | |