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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 14:45 UTC

[Doc] Document InternVL3 support (#16495)

Signed-off-by: Isotr0py <2037008807@qq.com>

Isotr0py committed Apr 12, 2025 at 03:41 UTC 5285589f37fdc0fb0c3fa4b05b71fadb68eb1130
1 file changed +2 -2
docs/source/models/supported_models.md
+2 -2
@@ -878,9 +878,9 @@ See [this page](#generative-models) for more information on how to use generativ
878 *
879 * ✅︎
880 - * `InternVLChatModel`
881 - * InternVideo 2.5, InternVL 2.5, Mono-InternVL, InternVL 2.0
881 + * InternVL 3.0, InternVideo 2.5, InternVL 2.5, Mono-InternVL, InternVL 2.0
882 * T + I<sup>E+</sup>
883 - * `OpenGVLab/InternVideo2_5_Chat_8B`, `OpenGVLab/InternVL2_5-4B`, `OpenGVLab/Mono-InternVL-2B`, `OpenGVLab/InternVL2-4B`, etc.
883 + * `OpenGVLab/InternVL3-9B`, `OpenGVLab/InternVideo2_5_Chat_8B`, `OpenGVLab/InternVL2_5-4B`, `OpenGVLab/Mono-InternVL-2B`, `OpenGVLab/InternVL2-4B`, etc.
884 *
885 * ✅︎
886 * ✅︎