How to use from
SGLangUse 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 "golaxy/gogpt-560m" \
--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": "golaxy/gogpt-560m",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
GoGPT
基于中文指令数据微调BLOOM
训练第一轮足够了，后续第二轮和第三轮提升不大
- 🚀多样性指令数据
- 🚀筛选高质量中文数据
| 模型名字 | 参数量 | 模型地址 |
|---|---|---|
| gogpt-560m | 5.6亿参数 | 🤗golaxy/gogpt-560m |
| gogpt-3b | 30亿参数 | 🤗golaxy/gogpt-3b |
测试效果
TODO
- 进行RLFH训练
- 后续加入中英平行语料
感谢
- Downloads last month
- 828
Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "golaxy/gogpt-560m" \ --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": "golaxy/gogpt-560m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'