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 "BreadAi/gpt-YA-1-1_70M" \
--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": "BreadAi/gpt-YA-1-1_70M",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 25.64 |
| ARC (25-shot) | 22.53 |
| HellaSwag (10-shot) | 27.37 |
| MMLU (5-shot) | 25.38 |
| TruthfulQA (0-shot) | 47.09 |
| Winogrande (5-shot) | 50.91 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 6.18 |
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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 "BreadAi/gpt-YA-1-1_70M" \ --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": "BreadAi/gpt-YA-1-1_70M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'