gramnarayan
744a955cbb
[None][chore] AutoDeploy: Eagle One-Model [1/n]: PyTorch impl for Eagle3 Llama checkpoint ( #10674 )
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Signed-off-by: Govind Ramnarayan <105831528+govind-ramnarayan@users.noreply.github.com>
2026-01-28 12:10:49 -08:00
Venky
b3146d095d
[TRTC-122][feat] Eagle3 Specdec UX improvements ( #10124 )
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Signed-off-by: Venky Ganesh <23023424+venkywonka@users.noreply.github.com>
2026-01-22 07:24:11 -08:00
Anish Shanbhag
faa80e73fd
[None][feat] Auto download speculative models from HF for pytorch backend, add speculative_model field alias ( #10099 )
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Signed-off-by: Anish Shanbhag <ashanbhag@nvidia.com>
2026-01-14 21:06:07 -08:00
gramnarayan
a9eb5afc9f
[ #9241 ][feat] AutoDeploy: Support Eagle3 Speculative Decoding ( #9869 )
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Support two model flow with no overlap scheduler or chain drafter. Drafting model is in PyTorch backend.
Signed-off-by: Govind Ramnarayan <105831528+govind-ramnarayan@users.noreply.github.com>
2025-12-24 23:30:42 -05:00
Chenghao Zhang
75f5446d67
[ #9753 ][feat] AutoDeploy: Implement add rms_norm fusion ( #9754 )
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Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>
2025-12-08 14:24:27 -08:00
gramnarayan
098b9ff226
[ #9147 ][feat] AutoDeploy: Draft Target Speculative Decoding ( #9275 )
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Signed-off-by: Govind Ramnarayan <105831528+govind-ramnarayan@users.noreply.github.com>
2025-12-04 05:13:49 +08:00
