Text Generation
Transformers
Safetensors
Korean
mistral
feature-extraction
text-generation-inference
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 "blueapple8259/TinyKo" \
--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": "blueapple8259/TinyKo",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
maywell/ko_wikidata_QA, beomi/KoAlpaca-v1.1a, Bingsu/ko_alpaca_data, klue ๋ฐ์ดํฐ์ ์ ์ฌ์ฉํด์ ํ์ต๋์์ผ๋ฉฐ maywell/ko_wikidata_QA, beomi/KoAlpaca-v1.1a, Bingsu/ko_alpaca_data๋ฐ์ดํฐ์ ์ ๊ฒฝ์ฐ output๋ง ํ์ต์ ์ฌ์ฉ๋์์ต๋๋ค. ํ๊ตญ์ด๋ง ์ง์๋ฉ๋๋ค.
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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 "blueapple8259/TinyKo" \ --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": "blueapple8259/TinyKo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'