7B Collection
Collection
7B models I've created. • 5 items • Updated • 5
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 "KatyTheCutie/LemonadeRP-4.5.3" \
--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": "KatyTheCutie/LemonadeRP-4.5.3",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
Lemonade RP 4.5.3
8192 context length. - Reports of context up-to 32K working!
7B roleplay focused model, creativity and less cliché is the focus of this merge.
SillyTavern settings:
Models used in merge:
- NeverSleep/Noromaid-7B-0.4-DPO
- cgato/Thespis-7b-v0.5-SFTTest-2Epoch
- NurtureAI/neural-chat-7b-v3-1-16k
- cgato/Thespis-CurtainCall-7b-v0.2.2
- tavtav/eros-7b-test
Feedback is always greatly appreciated! <3
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Model tree for KatyTheCutie/LemonadeRP-4.5.3
Base model
NeverSleep/Noromaid-7B-0.4-DPO
Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "KatyTheCutie/LemonadeRP-4.5.3" \ --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": "KatyTheCutie/LemonadeRP-4.5.3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'