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Support for LlamaForSequenceClassification #20807
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Summary of Changes
Hello @thechaos16, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request extends VLLM's capabilities by introducing full support for LlamaForSequenceClassification models. It resolves an issue where these models could not be properly loaded or used for classification tasks, by adapting the existing Llama causal language model implementation and integrating it into VLLM's model registry. This enhancement allows users to seamlessly load and run Llama-based sequence classification models for their specific needs.
Highlights
- New Model Support: Added comprehensive support for
LlamaForSequenceClassificationmodels, enabling them to be loaded and utilized within the VLLM framework for sequence classification tasks. This addresses a previous limitation where theclassifyfunction was not available for these models. - Model Adaptation: Implemented an adapter mechanism (
as_seq_cls_model) to allow the existingLlamaForCausalLMimplementation to function correctly as aLlamaForSequenceClassificationmodel. This reuses the core Llama architecture while providing the necessary classification capabilities. - Registry Integration: Registered
LlamaForSequenceClassificationwithin VLLM's model registry, making it discoverable and loadable when users specify a Llama-based sequence classification model.
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Code Review
This pull request adds support for LlamaForSequenceClassification by using the as_seq_cls_model adapter, which is a clean and idiomatic way to extend model functionality in this codebase. The changes are straightforward and well-contained. I have one suggestion regarding code style to improve maintainability.
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For better maintainability and consistency with other model dictionaries in this file (e.g., _TEXT_GENERATION_MODELS), it's recommended to keep the _SEQUENCE_CLASSIFICATION_MODELS dictionary sorted alphabetically by key.
While I can only comment on the changed lines, I'd suggest sorting the entire dictionary. This would make it easier to find models and add new ones in the future.
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👋 Hi! Thank you for contributing to the vLLM project. 💬 Join our developer Slack at https://slack.vllm.ai to discuss your PR in #pr-reviews, coordinate on features in #feat- channels, or join special interest groups in #sig- channels. Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run Once the PR is approved and ready to go, your PR reviewer(s) can run CI to test the changes comprehensively before merging. To run CI, PR reviewers can either: Add 🚀 |
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cc @noooop |
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Please keep this with the other text models. JinaVLForRanking is specially put at the end because it's multimodal, maybe add a code comment like in the other sections
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Thank you. I rearranged as you suggested.
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You need to add LlamaForSequenceClassification in tests/models/registry.py
Why could it run successfully before? <- working on it Anyhow, we should automatically support all ForSequenceClassification models, instead of adding them one by one to registry.py |
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Thank you for your comment. I've just added LlamaForSequenceClassfication to
I couldn't agree more. It would be perfect if we could use any kind of SequenceClassification model for |
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@thechaos16 Please fix pre-commit, it is required. |
Signed-off-by: thechaos16 <[email protected]>
Head branch was pushed to by a user without write access
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Thank you for the comment. I've fixed pre-commit and squashed all commits to one. |
Signed-off-by: thechaos16 <[email protected]> Signed-off-by: x22x22 <[email protected]>
Signed-off-by: thechaos16 <[email protected]>
Signed-off-by: thechaos16 <[email protected]>
Signed-off-by: thechaos16 <[email protected]> Signed-off-by: Jinzhen Lin <[email protected]>
Signed-off-by: thechaos16 <[email protected]> Signed-off-by: Paul Pak <[email protected]>
Signed-off-by: thechaos16 <[email protected]> Signed-off-by: Diego-Castan <[email protected]>
Signed-off-by: thechaos16 <[email protected]>
Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.Purpose
classifyno more available for LlamaForSequenceClassification model.Test Plan
Test Result
(Optional) Documentation Update