..
checkpoints
[None][feat] Skip prefetching consolidated safetensors when appropriate ( #7013 )
2025-08-25 23:56:21 -04:00
__init__.py
[None] [feat] Add Tencent HunYuanMoEV1 model support ( #5521 )
2025-08-15 06:56:44 +08:00
modeling_auto.py
[TRTLLM-7326][feat] Add standalone multimodal encoder ( #6743 )
2025-08-19 21:42:50 -07:00
modeling_bert.py
feat: Remove not used padding_idx in models ( #5385 )
2025-06-25 17:19:59 +08:00
modeling_clip.py
[feat] Enable TP and batching for PixtralVisionModel / Mistral3VLM ( #6152 )
2025-07-22 11:06:41 -07:00
modeling_deepseekv3.py
[TRTLLM-6743][feat] Optimize and refactor alltoall in WideEP ( #6973 )
2025-08-24 08:15:29 -04:00
modeling_exaone4.py
chore: add EXAONE4 accuracy test ( #6397 )
2025-08-04 10:14:16 +08:00
modeling_gemma3.py
[TRTLLM-6674][feat] (Breaking Change) Hopper SWA non-cyclic kernels + KV reuse + Spec Dec ( #6379 )
2025-08-05 07:47:41 +00:00
modeling_gemma3vl.py
[None][chore] Mass integration of release/1.0 ( #6864 )
2025-08-22 09:25:15 +08:00
modeling_gpt_oss.py
[None][fix] Fix perfect router. ( #6797 )
2025-08-14 20:09:08 -07:00
modeling_hunyuan_moe.py
[None] [feat] Add Tencent HunYuanMoEV1 model support ( #5521 )
2025-08-15 06:56:44 +08:00
modeling_hyperclovax.py
[None][fix] Refactoring input prep to allow out-of-tree models ( #6497 )
2025-08-12 20:29:10 -04:00
modeling_llama_min_latency.py
[Model load] Fix llama min-latency model load ( #5883 )
2025-07-15 09:29:19 +08:00
modeling_llama.py
[ https://nvbugs/5427801 ][fix] Torch compile support for Llama4 and Ea… ( #6858 )
2025-08-15 11:14:20 -04:00
modeling_llava_next.py
[TRTLLM-7326][feat] Add standalone multimodal encoder ( #6743 )
2025-08-19 21:42:50 -07:00
modeling_mistral.py
[None][fix] Refactoring input prep to allow out-of-tree models ( #6497 )
2025-08-12 20:29:10 -04:00
modeling_mixtral.py
[None][perf] Improve the performance of online EPLB on Hopper by better overlapping ( #6624 )
2025-08-12 09:25:13 +08:00
modeling_mllama.py
feat : support duplicate_kv_weight for qwen3 blockwise scale ( #5459 )
2025-06-30 11:49:22 +08:00
modeling_multimodal_encoder.py
Update TensorRT-LLM ( #2873 )
2025-03-11 21:13:42 +08:00
modeling_multimodal_utils.py
[TRTLLM-5059][feat] Add KV cache reuse support for multimodal models ( #5444 )
2025-07-21 16:11:58 -07:00
modeling_nemotron_h.py
[TRTLLM-4921][feat] Enable chunked prefill for Nemotron-H ( #6334 )
2025-08-22 12:15:20 -04:00
modeling_nemotron_nas.py
[Perf]: Add residual, norm for nemotron_nas models ( #6455 )
2025-07-30 09:10:38 -07:00
modeling_nemotron.py
feat: Remove not used padding_idx in models ( #5385 )
2025-06-25 17:19:59 +08:00
modeling_phi3.py
[None][fix] Accommodate Phi3/4 to work with ModelOpt's FP8 ckpts in Torch ( #6761 )
2025-08-19 09:22:46 -07:00
modeling_phi4mm.py
[TRTLLM-6825][fix] Update lora for phi4-mm ( #6817 )
2025-08-21 22:00:04 -04:00
modeling_pixtral.py
[feat] Enable TP and batching for PixtralVisionModel / Mistral3VLM ( #6152 )
2025-07-22 11:06:41 -07:00
modeling_qwen2vl.py
[TRTLLM-7326][feat] Add standalone multimodal encoder ( #6743 )
2025-08-19 21:42:50 -07:00
modeling_qwen3_moe.py
[None][perf] Improve the performance of online EPLB on Hopper by better overlapping ( #6624 )
2025-08-12 09:25:13 +08:00
modeling_qwen3.py
[None][feat] Support Yarn on Qwen3 ( #6785 )
2025-08-17 07:21:29 +08:00
modeling_qwen_moe.py
[None][perf] Improve the performance of online EPLB on Hopper by better overlapping ( #6624 )
2025-08-12 09:25:13 +08:00
modeling_qwen.py
feat: Remove not used padding_idx in models ( #5385 )
2025-06-25 17:19:59 +08:00
modeling_siglip.py
feat: Update Gemma3 Vision Encoder ( #5973 )
2025-07-14 22:38:10 +08:00
modeling_speculative.py
[TRTLLM-6743][feat] Optimize and refactor alltoall in WideEP ( #6973 )
2025-08-24 08:15:29 -04:00
modeling_utils.py
[TRTLLM-7326][feat] Add standalone multimodal encoder ( #6743 )
2025-08-19 21:42:50 -07:00
modeling_vila.py
[None][fix] Refactoring input prep to allow out-of-tree models ( #6497 )
2025-08-12 20:29:10 -04:00