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---
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)
```
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