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fla
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[None][feat] Support Qwen3 next (#7892)
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2025-09-29 21:16:07 +08:00 |
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fused_moe
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[None][fix] only support deepep post quant all2all on nvfp4 (#8041)
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2025-09-29 14:37:50 +08:00 |
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mamba
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[None][fix] enable NvFP4/FP8 quantization for Nemotron-H architecture (#7589)
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2025-09-09 11:42:22 +03:00 |
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__init__.py
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Update TensorRT-LLM (#2755)
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2025-02-11 03:01:00 +00:00 |
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attention.py
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[None][feat] Support Qwen3 next (#7892)
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2025-09-29 21:16:07 +08:00 |
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decoder_layer.py
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chore: Change the type annotations of input_ids and position_ids to int32. (#4632)
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2025-06-07 16:10:47 +08:00 |
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embedding.py
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[TRTLLM-6741] [feat] enable LM tp for MTP, under attention dp case (cherry-pick #7128) (#7571)
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2025-09-17 09:41:32 +08:00 |
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gated_mlp.py
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[https://nvbugs/5505402] [fix] Disable deep_gemm for Qwen3 QKNormRoPEAttention and Linear layers due to accuracy issues (#7616)
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2025-09-10 18:30:48 +01:00 |
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layer_norm.py
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[#6187][feat] add LayerNorm module (#6625)
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2025-08-12 21:43:30 +02:00 |
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linear.py
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[None][fix] Fix dummy load format for DeepSeek. (#7874)
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2025-09-24 23:03:16 +08:00 |
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logits_processor.py
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feat: LogitsProcessor in PyTorch backend (#3145)
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2025-05-01 14:15:30 -07:00 |
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mlp.py
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feat: add LLmArgs option to force using dynamic quantization (#5346)
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2025-07-01 12:16:09 -07:00 |
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multi_stream_utils.py
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[None][refactor] Refactor Torch Compile Backend, MoeLoadBalancer and warmup Logic (#6615)
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2025-08-19 09:58:44 +08:00 |
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qk_norm_attention.py
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[None][feat] Support Qwen3 next (#7892)
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2025-09-29 21:16:07 +08:00 |
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rms_norm.py
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[None][feat] Support Qwen3 next (#7892)
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2025-09-29 21:16:07 +08:00 |
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rotary_embedding.py
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[TRTLLM-7385][feat] Optimize Qwen2/2.5-VL performance (#7250)
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2025-09-22 03:40:02 -07:00 |
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swiglu.py
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[None][chore] Wrap the swiglu into custom op to avoid redundant device copy. (#7021)
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2025-08-27 13:02:10 +08:00 |
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triton_linear.py
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[None] [feat] Add model gpt-oss (#6645)
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2025-08-07 03:04:18 -04:00 |
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