Instructions to use IIEleven11/Kalypso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIEleven11/Kalypso with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="IIEleven11/Kalypso")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("IIEleven11/Kalypso") model = AutoModelForCausalLM.from_pretrained("IIEleven11/Kalypso") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use IIEleven11/Kalypso with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "IIEleven11/Kalypso" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "IIEleven11/Kalypso", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/IIEleven11/Kalypso
- SGLang
How to use IIEleven11/Kalypso with 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 "IIEleven11/Kalypso" \ --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": "IIEleven11/Kalypso", "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 "IIEleven11/Kalypso" \ --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": "IIEleven11/Kalypso", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use IIEleven11/Kalypso with Docker Model Runner:
docker model run hf.co/IIEleven11/Kalypso
Hidden gem
This model generates dialogue that is much more realistic than typical Nemo finetunes and merges. It tends to max out at about 2500 words and struggles when summarising uncensored text. However it is vulnerable to the Tolya is absent exploit which is a nice bonus.
Thanks, nice! yeah because its so small it does have its limitations. But I was attempting to train it with some very specific and different datasets that I made myself.
Also she is jailbroken easily if you just supply what it thinks is its last response. So if it sees that in the last message it was uncensored it will just happily continue on that path without question. So in your system prompt you just fake some of its output. should be set after that.