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 "moyix/dolly-replication" \
--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": "moyix/dolly-replication",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Dolly Replication
This is a replication of the "dolly" model from Databricks, which is GPT-J-6B fine-tuned on the alpaca instruction following dataset. It was trained in 6 hours on a high-end workstation (2xA6000 GPUs).
Licensing
Because the alpaca dataset was created from text generated by OpenAI's text-davinci-003 model, it is not clear whether this model can be used commercially; OpenAI's ToS does not allow one to "use output from the Services to develop models that compete with OpenAI".
datasets: - tatsu-lab/alpaca
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Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "moyix/dolly-replication" \ --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": "moyix/dolly-replication", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'