Relevant Model

This generates the is_relevant token as descirbed in Self-RAG.

We are testing to see if a retrieved document is relevant to the user input of our language model.

The expected input to the model is:

Instruction:\n{instruction}\nContext:\n{doc}

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Safetensors

Model size

67M params

Tensor type

F32

Inference Examples

Text Classification

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Dataset used to train sms1097/relevant_model

Collection including sms1097/relevant_model

Self-RAG System

Collection

Instead of having a LLM generate reflection tokens, what if we have a system of models generate reflection tokens? • 4 items • Updated Feb 9 • 1