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attention_backend
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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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auto_deploy
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feature: unify new_tokens format sample state to trtllm sampler new_tokens format (#4401)
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2025-06-23 10:38:37 -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: Misc Opt for large scale EP (#5374)
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2025-06-20 13:11:31 +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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fix: refactor and fix mtp vanilla (#4762)
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2025-06-20 05:23:39 +08:00 |
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modules
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feat: Misc Opt for large scale EP (#5374)
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2025-06-20 13:11:31 +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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[fix] Add 1 and draft_token_num to seq_len when overlap scheduling is enabled during memory estimation (#5343)
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2025-06-24 11:43:43 +08:00 |
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speculative
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feature: unify new_tokens format sample state to trtllm sampler new_tokens format (#4401)
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2025-06-23 10:38:37 -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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feat: large-scale EP(part 5: Static EP load balancer with offline statistics) (#4695)
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2025-06-02 01:25:02 +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 |
