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

STD-BPE-CEREBRAS

A standard CerebrasGPT-111M model using a pretrained Byte-Pair-Encoding (BPE) tokenizer. This model is used as a baseline for understanding how pretrained tokenizers perform on Danish text.

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