How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "jacob122e/sn38-2018-model-1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "jacob122e/sn38-2018-model-1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/jacob122e/sn38-2018-model-1
Quick Links

sn38-2018-model-1

Private SN38 cutoff-2018 submission checkpoint (candidate 1).

Architecture sn38-nanoexpand
Cutoff year 2018
Origin nanoexpand-2018-quality-gold-cont

Repo is private until 1 hour after SN38 submissions close (Monday 12:00 UTC), then must be switched public.

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Safetensors
Model size
2B params
Tensor type
BF16
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