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checkpoints
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[TRTLLM-6835][fix] Fix potential hang caused by python multiprocessing when prefetching weights (#6927)
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2025-09-01 11:02:31 +08:00 |
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__init__.py
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[None] [feat] Add Tencent HunYuanMoEV1 model support (#5521)
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2025-08-15 06:56:44 +08:00 |
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modeling_auto.py
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[TRTLLM-7326][feat] Add standalone multimodal encoder (#6743)
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2025-08-19 21:42:50 -07:00 |
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modeling_bert.py
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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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modeling_clip.py
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[feat] Enable TP and batching for PixtralVisionModel / Mistral3VLM (#6152)
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2025-07-22 11:06:41 -07:00 |
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modeling_deepseekv3.py
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[TRTLLM-6747][feat] Merge add sparse exp and shared exp into local reduction (#7369)
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2025-08-31 21:20:00 -04:00 |
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modeling_exaone4.py
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chore: add EXAONE4 accuracy test (#6397)
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2025-08-04 10:14:16 +08:00 |
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modeling_gemma3.py
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[TRTLLM-6674][feat] (Breaking Change) Hopper SWA non-cyclic kernels + KV reuse + Spec Dec (#6379)
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2025-08-05 07:47:41 +00:00 |
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modeling_gemma3vl.py
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[None][chore] Add docs for Gemma3 VLMs (#6880)
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2025-09-01 11:02:31 +08:00 |
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modeling_gpt_oss.py
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[None][fix] Fix perfect router. (#6797)
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2025-08-14 20:09:08 -07:00 |
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modeling_hunyuan_moe.py
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[None][fix] fix hunyuan_moe init bug (#7502)
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2025-09-04 03:06:00 -04:00 |
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modeling_hyperclovax.py
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[None][fix] Refactoring input prep to allow out-of-tree models (#6497)
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2025-08-12 20:29:10 -04:00 |
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modeling_llama_min_latency.py
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[Model load] Fix llama min-latency model load (#5883)
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2025-07-15 09:29:19 +08:00 |
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modeling_llama.py
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[https://nvbugs/5455836][fix] Fix llama 4 FP4 (#6911)
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2025-09-01 11:02:31 +08:00 |
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modeling_llava_next.py
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[TRTLLM-7326][feat] Add standalone multimodal encoder (#6743)
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2025-08-19 21:42:50 -07:00 |
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modeling_mistral.py
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[TRTLLM-7442][model] Remove unnecessary D2H copies (#7273)
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2025-09-03 23:14:20 -04:00 |
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modeling_mixtral.py
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[None][perf] Improve the performance of online EPLB on Hopper by better overlapping (#6624)
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2025-08-12 09:25:13 +08:00 |
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modeling_mllama.py
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feat : support duplicate_kv_weight for qwen3 blockwise scale (#5459)
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2025-06-30 11:49:22 +08:00 |
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modeling_multimodal_encoder.py
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Update TensorRT-LLM (#2873)
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2025-03-11 21:13:42 +08:00 |
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modeling_multimodal_utils.py
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[TRTLLM-5059][feat] Add KV cache reuse support for multimodal models (#5444)
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2025-07-21 16:11:58 -07:00 |
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modeling_nemotron_h.py
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[TRTLLM-4921][feat] Enable chunked prefill for Nemotron-H (#6334)
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2025-08-22 12:15:20 -04:00 |
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modeling_nemotron_nas.py
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[Perf]: Add residual, norm for nemotron_nas models (#6455)
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2025-07-30 09:10:38 -07:00 |
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modeling_nemotron.py
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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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modeling_phi3.py
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[None][fix] Accommodate Phi3/4 to work with ModelOpt's FP8 ckpts in Torch (#6761)
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2025-08-19 09:22:46 -07:00 |
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modeling_phi4mm.py
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[TRTLLM-6308][feat] Support Aggregate mode for phi4-mm (#7521)
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2025-09-04 20:16:10 +08:00 |
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modeling_pixtral.py
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[TRTLLM-7442][model] Remove unnecessary D2H copies (#7273)
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2025-09-03 23:14:20 -04:00 |
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modeling_qwen2vl.py
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[TRTLLM-7326][feat] Add standalone multimodal encoder (#6743)
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2025-08-19 21:42:50 -07:00 |
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modeling_qwen3_moe.py
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[None][perf] Improve the performance of online EPLB on Hopper by better overlapping (#6624)
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2025-08-12 09:25:13 +08:00 |
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modeling_qwen3.py
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[None][feat] Support Yarn on Qwen3 (#6785)
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2025-08-17 07:21:29 +08:00 |
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modeling_qwen_moe.py
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[None][perf] Improve the performance of online EPLB on Hopper by better overlapping (#6624)
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2025-08-12 09:25:13 +08:00 |
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modeling_qwen.py
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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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modeling_siglip.py
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feat: Update Gemma3 Vision Encoder (#5973)
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2025-07-14 22:38:10 +08:00 |
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modeling_speculative.py
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[TRTLLM-7027][feat] Fuse d2t to logitsBitmaskKernel and fix a race condition in one-model spec (#7481)
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2025-09-04 23:30:14 +08:00 |
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modeling_utils.py
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[TRTLLM-7326][feat] Add standalone multimodal encoder (#6743)
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2025-08-19 21:42:50 -07:00 |
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modeling_vila.py
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[None][fix] Refactoring input prep to allow out-of-tree models (#6497)
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2025-08-12 20:29:10 -04:00 |
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