How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "netcat420/MFANN3bv0.17"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "netcat420/MFANN3bv0.17",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/netcat420/MFANN3bv0.17
Quick Links

Prompt template for GPT4All:

<|endoftext|>Instruct: %1<|endoftext|>
<|endoftext|>Output: %2<|endoftext|>

record low training loss on netcat420/MFANN for the 2.78b model!

(0.538)

previous record: (0.632)

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Model size
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