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checkpoints
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[Issue 6193] Fix gemma3vl weight loader (#6233)
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2025-07-22 10:32:18 -07:00 |
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__init__.py
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[fix] Fix Mistral3VLM weight-loading & enable in pre-merge (#6105)
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2025-07-17 11:04:17 -07:00 |
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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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[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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Mtp optimizations round1 (#5689)
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2025-07-25 13:48:27 -04:00 |
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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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[Issue 6193] Fix gemma3vl weight loader (#6233)
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2025-07-22 10:32:18 -07:00 |
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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-6445] feat: Enable AllReduce-associated fusion patterns in Llama3/4. (#6205)
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2025-07-28 09:36:26 +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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chore: set default device to cpu on Multimodal models (#5994)
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2025-07-22 21:45:31 -07:00 |
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modeling_mixtral.py
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feat: Remove padding in attention DP. (#6064)
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2025-07-18 23:30:34 +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-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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Add basic Nemo Ckpt Lora Loading in pytorch flow (#6019)
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2025-07-22 19:42:45 -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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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] 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_qwen2vl.py
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chore: set default device to cpu on Multimodal models (#5994)
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2025-07-22 21:45:31 -07:00 |
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modeling_qwen3_moe.py
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[Fix][nvbug 5401163][nvbug 5404726][Qwen3] Fix bug of MoE on tp > 1 with trtllm moe backend (#6235)
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2025-07-24 21:47:37 +08:00 |
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modeling_qwen3.py
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feat(eagle3):support qwen3 dense model (#5879)
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2025-07-19 01:24:32 +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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Mtp optimizations round1 (#5689)
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2025-07-25 13:48:27 -04:00 |
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modeling_utils.py
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[Fix][nvbug 5401163][nvbug 5404726][Qwen3] Fix bug of MoE on tp > 1 with trtllm moe backend (#6235)
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2025-07-24 21:47:37 +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 |
