---
title: fancyfeast-llama-joycaption-beta-one-hf-llava
canonical_url: "https://www.modelscope.cn/models/muse/fancyfeast-llama-joycaption-beta-one-hf-llava"
md_url: "https://www.modelscope.cn/models/muse/fancyfeast-llama-joycaption-beta-one-hf-llava.md"
repository: muse/fancyfeast-llama-joycaption-beta-one-hf-llava
last_updated: 2025-05-15
license: "Apache License 2.0"
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
model_type:
  - llava
architectures:
  - LlavaForConditionalGeneration
base_model:
  - langboat/Guohua-Diffusion
base_model_relation: adapter
parameters: 8.5B
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - Pytorch
inference_backends:
  - "deploy_task vlm/text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 970
stars: 5
tags:
  - lora
  - text-to-image
---

# fancyfeast-llama-joycaption-beta-one-hf-llava

> fancyfeast-llama-joycaption-beta-one-hf-llava - muse 在 ModelScope 开源的模型。当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

muse/fancyfeast-llama-joycaption-beta-one-hf-llava 是 ModelScope 魔搭社区上的 8.5B 参数text-to-image-synthesis模型，采用 Apache License 2.0 许可，基于 langboat/Guohua-Diffusion 构建，可用 deploy_task vlm/text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: muse/fancyfeast-llama-joycaption-beta-one-hf-llava
- **License**: Apache License 2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 8.5B
- **Base model**: langboat/Guohua-Diffusion
- **Inference backends**: deploy_task vlm/text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: lora, text-to-image
- **Downloads**: 970
- **Stars**: 5
- **Last updated**: 2025-05-15

Source: https://www.modelscope.cn/models/muse/fancyfeast-llama-joycaption-beta-one-hf-llava

---

### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

SDK下载
```bash
#安装ModelScope
pip install modelscope
```
```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('muse/fancyfeast-llama-joycaption-beta-one-hf-llava')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/muse/fancyfeast-llama-joycaption-beta-one-hf-llava.git
```

<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>