[Feature] Add support for Qwen3 Reranker with Sequence Classifier head #730
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- Added Qwen3ClassificationHead with flexible tensor loading that handles: - score.weight at top level (for converted Qwen3 rerankers) - classifier.weight/bias patterns for standard models - Updated Qwen3Model and FlashQwen3Model to support classification - Added predict() method implementations for both model variants - Extended Qwen3Config with id2label field for classification - Added test case for Qwen3 reranker models with snapshot The implementation supports Qwen3 models converted to sequence classifiers for reranking tasks (e.g., tomaarsen/Qwen3-Reranker-0.6B-seq-cls). The classification head gracefully handles different tensor naming conventions from various conversion approaches. Tested with both embedding and reranking Qwen3 models. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>
- Added optional fields `instruction` and `use_template` to `RerankRequest` for custom instructions and template usage. - Updated rerank logic to apply templates conditionally based on model type and user input. - Introduced template formatting for Qwen3 models to improve reranking results. This update allows for more flexible and context-aware reranking capabilities, particularly for Qwen3 models.
…classification head in the Qwen3 model.
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Hey @sigridjineth, thanks for re-opening this PR! Given the amount of changes this might fall into 1.9.0 rather than 1.8.3, but please let me organize the roadmap and come up with a plan 🤗 |
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