---
title: X-Ray-Alpha
canonical_url: "https://www.modelscope.cn/models/mlx-community/X-Ray-Alpha"
md_url: "https://www.modelscope.cn/models/mlx-community/X-Ray-Alpha.md"
repository: mlx-community/X-Ray-Alpha
last_updated: 2026-01-15
license: gemma
model_type:
  - gemma3
architectures:
  - Gemma3ForConditionalGeneration
base_model:
  - SicariusSicariiStuff/X-Ray_Alpha
base_model_relation: quantized
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
inference_backends:
  - "deploy_task vlm/text/emb"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 20
stars: 0
tags:
  - mlx
---

# X-Ray-Alpha

> X-Ray-Alpha - mlx-community 在 ModelScope 开源的模型。Daizee/X-RayAlpha-mlx-4Bit

mlx-community/X-Ray-Alpha 是 ModelScope 魔搭社区上的机器学习模型，采用 gemma 许可，基于 SicariusSicariiStuff/X-Ray_Alpha 构建，可用 deploy_task vlm/text/emb、sglang 0.5.2、vllm 0.9.2 部署。

- **Repository**: mlx-community/X-Ray-Alpha
- **License**: gemma
- **Base model**: SicariusSicariiStuff/X-Ray_Alpha
- **Inference backends**: deploy_task vlm/text/emb, sglang 0.5.2, vllm 0.9.2
- **Tags**: mlx
- **Downloads**: 20
- **Stars**: 0
- **Last updated**: 2026-01-15

Source: https://www.modelscope.cn/models/mlx-community/X-Ray-Alpha

---

# 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)
```