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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, 12:15 UTC

[Doc] Update notes for H2O-VL and Gemma3 (#17219)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

Cyrus Leung committed May 6, 2025 at 15:51 UTC 63ced7b43f56c4f81b73b0ad176e820f70b2e782
1 file changed +1 -6
docs/source/models/supported_models.md
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@@ -1118,11 +1118,6 @@ See [this page](#generative-models) for more information on how to use generativ
1118 <sup>E</sup> Pre-computed embeddings can be inputted for this modality.
1119 <sup>+</sup> Multiple items can be inputted per text prompt for this modality.
1120
1121 -:::{important}
1122 -Pan-and-scan image pre-processing is currently supported on V0 (but not V1).
1123 -You can enable it by passing `--mm-processor-kwargs '{"do_pan_and_scan": true}'`.
1124 -:::
1125 -
1121 :::{warning}
1122 Both V0 and V1 support `Gemma3ForConditionalGeneration` for text-only inputs.
1123 However, there are differences in how they handle text + image inputs:
@@ -1142,7 +1137,7 @@ This limitation exists because the model's mixed attention pattern (bidirectiona
1137 :::
1138
1139 :::{note}
1145 -`h2oai/h2ovl-mississippi-2b` will be available in V1 once we support backends other than FlashAttention.
1140 +`h2oai/h2ovl-mississippi-2b` will be available in V1 once we support head size 80.
1141 :::
1142
1143 :::{note}