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checkpoints
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[TRTLLM-5493] Add core infrastructure to enable loading of custom checkpoint formats (#5372)
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2025-07-17 00:50:30 +08:00 |
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__init__.py
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feat: TRTLLM-5574 Add phi-4-multimodal pytorch-backend support (#5644)
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2025-07-17 06:30:58 +08:00 |
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.gitkeep
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Update TensorRT-LLM (#2755)
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2025-02-11 03:01:00 +00:00 |
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modeling_auto.py
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[feat] Implement model-agnostic one-engine eagle3 (#4778)
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2025-06-13 08:11:41 -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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Cherry pick feat/llama4 to main (#4739)
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2025-05-30 05:28:40 +08:00 |
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modeling_deepseekv3.py
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[fix] Performance Optimization for MNNVL TwoShot Kernel (#5934)
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2025-07-17 10:49:51 +08:00 |
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modeling_exaone4.py
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feat: EXAONE4.0 support (#5696)
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2025-07-14 22:28:10 +09:00 |
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modeling_gemma3.py
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[TRTLLM-5493] Add core infrastructure to enable loading of custom checkpoint formats (#5372)
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2025-07-17 00:50:30 +08:00 |
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modeling_gemma3vl.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_hyperclovax.py
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feat: add MultimodalParams & putting all multimodal params into it and refactor HyperCLOVAX & Qwen2/2.5-VL (#5522)
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2025-07-07 18:03:12 -07:00 |
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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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[TRTLLM-5493] Add core infrastructure to enable loading of custom checkpoint formats (#5372)
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2025-07-17 00:50:30 +08:00 |
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modeling_llava_next.py
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Update transformers to 4.53.0 (#5747)
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2025-07-09 09:32:24 -07:00 |
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modeling_mistral.py
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feat(models): Mistral3.1 VLM pytorch backend support (#5529)
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2025-07-09 13:17:40 -07:00 |
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modeling_mixtral.py
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[TRTLLM-5493] Add core infrastructure to enable loading of custom checkpoint formats (#5372)
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2025-07-17 00:50:30 +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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feat: TRTLLM-5574 Add phi-4-multimodal pytorch-backend support (#5644)
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2025-07-17 06:30:58 +08:00 |
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modeling_nemotron_h.py
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[TRTLLM-5493] Add core infrastructure to enable loading of custom checkpoint formats (#5372)
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2025-07-17 00:50:30 +08:00 |
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modeling_nemotron_nas.py
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feat: Add support for YARN in NemotronNAS models (#4906)
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2025-06-29 09:45:49 +03:00 |
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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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feat: TRTLLM-5574 Add phi-4-multimodal pytorch-backend support (#5644)
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2025-07-17 06:30:58 +08:00 |
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modeling_phi4mm.py
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feat: TRTLLM-5574 Add phi-4-multimodal pytorch-backend support (#5644)
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2025-07-17 06:30:58 +08:00 |
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modeling_pixtral.py
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feat(models): Mistral3.1 VLM pytorch backend support (#5529)
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2025-07-09 13:17:40 -07:00 |
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modeling_qwen2vl.py
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Update transformers to 4.53.0 (#5747)
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2025-07-09 09:32:24 -07:00 |
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modeling_qwen3_moe.py
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[TRTLLM-5493] Add core infrastructure to enable loading of custom checkpoint formats (#5372)
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2025-07-17 00:50:30 +08:00 |
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modeling_qwen3.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_qwen_moe.py
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[TRTLLM-5493] Add core infrastructure to enable loading of custom checkpoint formats (#5372)
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2025-07-17 00:50:30 +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-5493] Add core infrastructure to enable loading of custom checkpoint formats (#5372)
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2025-07-17 00:50:30 +08:00 |
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modeling_utils.py
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[TRTLLM-5493] Add core infrastructure to enable loading of custom checkpoint formats (#5372)
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2025-07-17 00:50:30 +08:00 |
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modeling_vila.py
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feat: add MultimodalParams & putting all multimodal params into it and refactor HyperCLOVAX & Qwen2/2.5-VL (#5522)
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2025-07-07 18:03:12 -07:00 |
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