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 "digitous/Janin-R" \
--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": "digitous/Janin-R",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
This is a (25/25)/50 merge of Mr. Seeker's GPT-J Janeway and Shinen models and GPT-R. If interested, please visit digitous/GPT-R and KoboldAI to get an understanding of what these models are comprised of. This model is not intended for minors.
Mr. Seeker, maker of incredible fine-tuned models: https://huggingface.co/KoboldAI/GPT-J-6B-Janeway
https://huggingface.co/KoboldAI/GPT-J-6B-Shinen
Donate to help ameliorate server fees: https://www.patreon.com/mrseeker
GPT-Ronin: https://huggingface.co/digitous/GPT-R
Weight merge Script credit to Concedo: https://huggingface.co/concedo
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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 "digitous/Janin-R" \ --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": "digitous/Janin-R", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'