How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "iamplus/mpt-30b-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "iamplus/mpt-30b-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/iamplus/mpt-30b-v2
Quick Links

Base Model : mosaicml/mpt-30b

Tool : MosaicML's llm-foundry (https://github.com/mosaicml/llm-foundry)

Dataset : Entire flan3m-GPT3.5 dataset.

Config yaml with Model Params : https://huggingface.co/iamplus/mpt-30b-v2/blob/main/mpt-30b_orca.yaml

Prompt Format :

<system>: [system prompt]

<human>: [question]

<bot>:
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Dataset used to train iamplus/mpt-30b-v2