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attention_backend
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feat: chunked prefill for MLA (Blackwell) (#4651)
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2025-06-26 09:01:00 +08:00 |
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auto_deploy
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Revert "feature: unify new_tokens format sample state to trtllm samper new_tokens format (#4401)" (#5474)
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2025-06-25 20:56:04 -07:00 |
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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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feat: chunked prefill for MLA (Blackwell) (#4651)
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2025-06-26 09:01:00 +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/ds r1 min latency opt round3, add router gemm, fused a gemm, PDL (#4560)
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2025-06-14 17:36:22 +08:00 |
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models
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feat: Remove not used padding_idx in models (#5385)
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2025-06-25 17:19:59 +08:00 |
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modules
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feat: chunked prefill for MLA (Blackwell) (#4651)
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2025-06-26 09:01:00 +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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Revert "feature: unify new_tokens format sample state to trtllm samper new_tokens format (#4401)" (#5474)
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2025-06-25 20:56:04 -07:00 |
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speculative
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Revert "feature: unify new_tokens format sample state to trtllm samper new_tokens format (#4401)" (#5474)
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2025-06-25 20:56:04 -07:00 |
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__init__.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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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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[TRTLLM-5825][fix] Fix torch LoRA TP (#5338)
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2025-06-19 09:12:00 +03:00 |
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utils.py
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feat: Enhance AutoTuner inference path and code readability (#4466)
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2025-06-04 10:53:11 +08:00 |
