Instructions to use OpenMOSS-Team/moss-moon-003-sft-plugin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenMOSS-Team/moss-moon-003-sft-plugin with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="OpenMOSS-Team/moss-moon-003-sft-plugin", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("OpenMOSS-Team/moss-moon-003-sft-plugin", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use OpenMOSS-Team/moss-moon-003-sft-plugin with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenMOSS-Team/moss-moon-003-sft-plugin"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenMOSS-Team/moss-moon-003-sft-plugin",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/OpenMOSS-Team/moss-moon-003-sft-plugin

SGLang

How to use OpenMOSS-Team/moss-moon-003-sft-plugin with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "OpenMOSS-Team/moss-moon-003-sft-plugin" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenMOSS-Team/moss-moon-003-sft-plugin",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "OpenMOSS-Team/moss-moon-003-sft-plugin" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenMOSS-Team/moss-moon-003-sft-plugin",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use OpenMOSS-Team/moss-moon-003-sft-plugin with Docker Model Runner:
```
docker model run hf.co/OpenMOSS-Team/moss-moon-003-sft-plugin
```

本地化部署后怎么启用或调用搜索引擎插件功能？另补充了一个部署流程供参考

by liuhantao - opened Apr 24, 2023

Discussion

liuhantao

Apr 24, 2023

•

edited Apr 25, 2023

本地化部署后怎么启用或调用搜索引擎插件功能？，现有部署指导无法启用插件功能

补充下，windows下安装时，要安装“conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia”，之后会报错==>正常的，删除引起报错的DLL文件，累计要删除3次，之后会报新的错误，再根据提示pip install chardet、 pip install mdtex2html、pip install cchardet，再之后就OK了。

liuhantao changed discussion title from 本地化部署后怎么启用插件功能？另补充了一个部署流程供参考 to 本地化部署后怎么启用或调用搜索引擎插件功能？另补充了一个部署流程供参考 Apr 24, 2023

liuhantao

Apr 25, 2023

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本地化部署后怎么启用或调用搜索引擎插件功能？ 另补充了一个部署流程供参考

本地化部署后怎么启用或调用搜索引擎插件功能？另补充了一个部署流程供参考