How to use from
vLLM
# Gated model: Login with a HF token with gated access permission
hf auth login
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "misterlakaz/Midas-1922b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "misterlakaz/Midas-1922b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/misterlakaz/Midas-1922b
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Midas 1922b

Built off of RIXIS-10. Trained by Lakaz Manuella, Authorised by Ruben Roy.

Statistics

  • 1922b parameters
  • 4M token context window
  • BEMX Cert-Idon (12-11) Ovantage
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