Add scoring mode to MistralCausalLM #1521
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mattdangerw
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Mar 23, 2024
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abuelnasr0
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Apr 2, 2024
* Add scoring mode to MistralCausalLM * Fixing names in Docstring * Fix padding mask arg name * Fix embedded shape in test * Remove errant underscore in Docstring
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Adds the
.score()function introduced with Gemma (#1448) to theMistralCausalLMmodel class. As with Gemma, this function supports a variety of interpretability use cases with Mistral by providing an API by which generated sequences can be scored (logits or loss) with gradient tracking on. Use cases include salience maps, patching, and training data attribution.This is a direct port of the implementation and tests from Gemma, so hopefully that helps ease the review process.