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attention_backend
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feat: TRTLLM-5574 Add phi-4-multimodal pytorch-backend support (#5644)
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2025-07-17 06:30:58 +08:00 |
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auto_deploy
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[refactor] Simplification of Speculative decoding configs (#5639)
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2025-07-10 11:37:30 -04:00 |
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compilation
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[feat] Piecewise cuda graph support for MLA (#4467)
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2025-06-17 18:58:38 +08:00 |
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custom_ops
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[TRTLLM-6100] fix: Nvbug 5356427: autotuned TRTLLM Gen fp8 block scale MoE illegal memory access (#5676)
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2025-07-14 17:17:30 +08:00 |
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debug
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Add debug hook to support dump tensor data and add new debug functions easily (#5182)
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2025-06-24 17:45:28 +08:00 |
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distributed
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[feat] Support torch compile for attention dp (#5086)
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2025-07-01 13:48:52 -04:00 |
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models
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feat(eagle3):support qwen3 dense model (#5879)
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2025-07-19 01:24:32 +08:00 |
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modules
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feat: Remove padding in attention DP. (#6064)
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2025-07-18 23:30:34 +08:00 |
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peft
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feat: support multi lora adapters and TP (#3885)
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2025-05-08 23:45:45 +08:00 |
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pyexecutor
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[nvbug/5393888][nvbug/5393042] Always use py_seq_slot (#6147)
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2025-07-18 22:45:16 +03:00 |
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shared_tensor
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[1/N][TRTLLM-5195][feat] Share PyTorch tensor between processes (#5396)
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2025-07-10 05:12:53 +09:00 |
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speculative
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[nvbug/5393888][nvbug/5393042] Always use py_seq_slot (#6147)
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2025-07-18 22:45:16 +03:00 |
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__init__.py
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[TRTLLM-5493] Add core infrastructure to enable loading of custom checkpoint formats (#5372)
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2025-07-17 00:50:30 +08:00 |
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autotuner.py
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[TRTLLM-5770] feat: Integrate TRT-LLM Gen FP8 block scale MoE with Pytorch workflow kernel autotuner (#5207)
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2025-06-17 21:01:56 +08:00 |
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expert_statistic.py
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Add MTP support for Online EPLB (#5213)
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2025-06-25 07:58:13 +08:00 |
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llm.py
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[TRTLLM-5208][BREAKING CHANGE] chore: make pytorch LLM the default (#5312)
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2025-06-20 03:01:10 +08:00 |
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metadata.py
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feat: no-cache attention in PyTorch workflow (#3085)
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2025-04-05 01:54:32 +08:00 |
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model_config.py
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feat: add support for Modelopt fp8_pb_wo quantization scheme (#6106)
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2025-07-18 10:35:12 +08:00 |
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utils.py
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chore: Cleanup disable_fp4_allgather. (#6006)
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2025-07-16 17:54:36 +08:00 |
