How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Sigurdur/ice-gpt-cc"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Sigurdur/ice-gpt-cc",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/Sigurdur/ice-gpt-cc
Quick Links

Ice-gpt common crawl

A light-wheight gpt model trained on the icelandic-common-crawl-corpus from Mideind. It uses ice-tokenizer a bpe tokenizer for both training and inference.

Author

Sigurdur Haukur Birgisson

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Dataset used to train Sigurdur/ice-gpt-cc