Gemma2 reward model support#1954
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merrymercy merged 2 commits intosgl-project:mainfrom Nov 8, 2024
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| hidden_states = self.model(input_ids, positions, forward_batch, input_embeds) | ||
| scores = self.score(hidden_states) | ||
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| return self.pooler(scores, forward_batch) |
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There is an optimization opportunity here. You can run self.pooler first and then run self.score. This can skip matmul for some dimensions and make it run faster. Can you try this in a follow-up PR?
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Gemma2 reward model support (sgl-project#1954)
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Motivation
Support Gemma2 reward model, such as Skywork/Skywork-Reward-Gemma-2-27B-v0.2.
Modifications
gemma2_reward.pyinpython/sglang/srt/models.docs/references/supported_models.md.Checklist