jackyYang6 988e0bc338 [Feature] Add PaddleFormers fallback backend (#5999) ...

* feat(paddleformers): add dense text model fallback backend

* docs(paddleformers): add user guide and fix code review issues

* add fallback unit test

* precommit format

* fix pre-commit

* fix: address code review feedback

* docs: add PaddleFormers backend documentation (EN) and simplify installation

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Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com>

2026-01-19 21:50:50 +08:00

..

sched

[XPU] xpu support mm prefill batch (#6072)

2026-01-19 14:36:35 +08:00

__init__.py

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args_utils.py

[Feature] Add PaddleFormers fallback backend (#5999)

2026-01-19 21:50:50 +08:00

async_llm.py

[Optimization] refactor(chat_handler,completion_handler): extract base classes and use AsyncLLM (#5195)

2025-12-25 16:28:15 +08:00

common_engine.py

only update self.exist_prefill_task_signal in v0 (#6064)

2026-01-16 20:11:55 +08:00

engine.py

[Feature] Add PaddleFormers fallback backend (#5999)

2026-01-19 21:50:50 +08:00

expert_service.py

[Feature] [PD Disaggregation] simplify configuration for pd-disaggregated deployment, and refactor post-init and usage for all ports (#5415)

2025-12-17 15:50:42 +08:00

kv_cache_interface.py

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pooling_params.py

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request.py

[Feature] Support stopping the inference for the corresponding request in the online service after a disconnection request. (#5320)

2026-01-16 11:46:13 +08:00

resource_manager.py

[Feature] Support stopping the inference for the corresponding request in the online service after a disconnection request. (#5320)

2026-01-16 11:46:13 +08:00

sampling_params.py

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tasks.py

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