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

This is a frankensteined Marx3b-v2 model (https://huggingface.co/acrastt/Marx-3B-V2)

It is approximately 7.1b. Just testing things out.

bfloat16

Used the same model 4 times. I fine-tuned it at r 256 but used the wrong alpaca format so I'll need to re-upload that merged model.

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Model size
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Tensor type
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