How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Intel/tiny-random-falcon"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Intel/tiny-random-falcon",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/Intel/tiny-random-falcon
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This is a tiny random Falcon model derived from "tiiuae/falcon-7b-instruct".

This is useful for functional testing (not quality generation, since its weights are random) on optimum-intel

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Model size
8.55M params
Tensor type
F32
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