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timm/convnextv2_huge.fcmae

int8_embedl_tensorrt
timm convnextv2_huge.fcmae architecture graph
timm convnextv2_huge.fcmae architecture graph
  • timm/convnextv2_huge.fcmae
  • INT8
  • L4
Labels
  • Image
Build
Embedl-optimized
Precision
INT8
Runtime
TensorRT 11.3.0.99 with Embedl optimizations
Input size
224×224

convnextv2_huge.fcmae is an image encoder from timm: it turns an image into a 2,816-dimensional embedding, for search, retrieval and as features for other models.

Files

Image Size

Model

docker.io/embedl/model-artifacts:convnextv2_huge.fcmae-timm_int8_embedl_tensorrt_l4.3fa487fcc229ff6f

7.42 GiB

Runtime

docker.io/embedl/models:runtimes.tensorrt.amd64.2026101815014ee0

0.52 GiB