Add Beam Search sampler #618
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lapp0
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docs/reference/samplers.md
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| from outlines import models, generate, samplers | ||
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| model = models.transformers("mistralai/Mistral-7B-0.1") |
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Typo, it should be mistralai/Mistral-7B-v0.1
However I think we should be recommending mistralai/Mistral-7B-Instruct-v0.2
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I overlooked something: some Beam Search implementations clone each beam K times and then down sample them to preserve some kind of sample diversity, see this implementation for instance. This can be done in another PR. |
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Closes #258.
In order to implement Beam Search I had to make a few changes to the samplers, they now:
token_ids's ancestors, i.e. the sequence to which they need to be added. While trivial for greedy and multinomial sampling, this is what will allow us to update "beams" in beam search.token_ids,attention_masks,kv_cache,fsmandfsm_statesare now updated using theancestorsinformation.GenerationStatecontains the sequence's weights and ancestors so we can inspect the sampling process.I also simplified the
get_generated_token_idsmethod ofSequenceGenerator. We should soon do a cleaning pass on this class: remove deprecated init arguments, make some methods independant functions and test them.