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attention_backend
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[TRTLLM-3602][feat] support nvfp4 model and fp8 kv cache for MLA chunked prefill (Blackwell) (#5475)
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2025-06-26 22:18:08 +08:00 |
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auto_deploy
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feat: Expose bias and FP8_MXFP4 MOE CUTLASS backend features to pytorch (#5410)
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2025-06-27 12:29:34 +08:00 |
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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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Make moe permute and final as custom op (#5412)
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2025-06-27 15:48:33 -07:00 |
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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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Fix : fix build for sm120 (#5265)
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2025-06-27 20:42:47 +08:00 |
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modules
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Make moe permute and final as custom op (#5412)
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2025-06-27 15:48:33 -07:00 |
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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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refactor: Speculative decoding buffers part 2 (#5316)
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2025-06-27 17:41:48 +02:00 |
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speculative
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[TRTLLM-5000][feat] NGrams V2 (#4569)
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2025-06-27 23:00:17 +08:00 |
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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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perf: Optimize swizzle_sf, unswizzle_sf, reswizzle_sf (#5318)
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2025-06-26 14:03:56 +08:00 |
