How to use from
SGLang
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/ANHSY_0.1" \
    --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/ANHSY_0.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use 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/ANHSY_0.1" \
        --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/ANHSY_0.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Quick Links

kogpt-j-baseλͺ¨λΈμ„ μ—¬λŸ¬ 데이터셋을 μ‚¬μš©ν•΄μ„œ 16k step만큼 ν•™μŠ΅μ‹œν‚¨ λͺ¨λΈμž…λ‹ˆλ‹€. μΆ”κ°€λ‘œ λŠ₯μ§€μ΄μŠˆκ°€ μžˆλŠ” κ΄€κ³„λ‘œ 생성이 μ™„λ£Œλœ 이후에 eos토큰 λŒ€μ‹ μ— <끝>이 λ‚˜μ˜΅λ‹ˆλ‹€.

ν”„λ‘¬ν”„νŠΈ:

당신은 μ‚¬λžŒλ“€μ„ λ„μ™€μ£ΌλŠ” 인곡지λŠ₯ λΉ„μ„œμž…λ‹ˆλ‹€. μ§ˆλ¬Έμ„ 읽고 μ•Œλ§žμ€ 닡변을 μ œκ³΅ν•˜μ„Έμš”.

### 질문:
{prompt}

### λ‹΅λ³€:

데이터셋:

beomi/KoAlpaca-v1.1a

royboy0416/ko-alpaca

maywell/ko_wikidata_QA

nlpai-lab/kullm-v2

mssongit/KorfinQA

kyujinpy/OpenOrca-KO

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Datasets used to train blueapple8259/ANHSY_0.1