tomeras91 35010e8073 Support NemotronH FP8 Quantization ... (1) match quant exclude modules names to TRTLLM names (2) No need for any special weight loading for quantization scales weights (#3891) Signed-off-by: Tomer Asida <57313761+tomeras91@users.noreply.github.com>		2025-04-29 18:51:43 +03:00
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attention_backend	Fix fp8 kvcache (#3877)	2025-04-29 10:31:10 +08:00
auto_deploy	fix: [AutoDeploy] update hf loading for e_score_correction_bias (#3847)	2025-04-26 02:03:47 +08:00
compilation	Unify two versions of AllReduce custom op (#3032)	2025-04-22 21:58:42 +08:00
custom_ops	chore: bump version to 0.19.0 (#3598) (#3841)	2025-04-29 16:57:22 +08:00
distributed	chore: bump version to 0.19.0 (#3598) (#3841)	2025-04-29 16:57:22 +08:00
models	Support NemotronH FP8 Quantization	2025-04-29 18:51:43 +03:00
modules	fix: get head_dim from model’s config. (#3916)	2025-04-29 23:04:29 +08:00
peft	add passing E2E LoRA flow (#3788)	2025-04-23 18:38:06 +03:00
pyexecutor	fix: get head_dim from model’s config. (#3916)	2025-04-29 23:04:29 +08:00
speculative	feat: add CGA reduction fmha kernels on Blackwell. (#3763)	2025-04-29 10:43:54 +08:00
__init__.py	Update TensorRT-LLM (#2755)	2025-02-11 03:01:00 +00:00
autotuner.py	feat: Apply the new torch-flow compatible AutoTuner to both Fused MoE and NVFP4 Linear operators. (#3151)	2025-04-08 14:28:36 +08:00
llm.py	test: [TRTLLM-4334] Create 1.0 criteria scope from API stability references (#3069)	2025-03-26 18:14:35 +08:00
metadata.py	feat: no-cache attention in PyTorch workflow (#3085)	2025-04-05 01:54:32 +08:00
model_config.py	Fix fp8 kvcache (#3877)	2025-04-29 10:31:10 +08:00
pipeline_interface.py	chore: bump version to 0.19.0 (#3598) (#3841)	2025-04-29 16:57:22 +08:00
utils.py	refactor: (part1) Add contraints doc for fusedMoe module. (#3882)	2025-04-29 22:23:02 +08:00