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google/gemma-4-E2B-it

huggingface_fp16_tensorrt-edgellm
google/gemma-4-E2B-it architecture graph
google/gemma-4-E2B-it architecture graph
  • huggingface
  • AGX Thor
Labels
  • Image
  • Text
  • VLM
  • Generation
Build
Embedl-optimized
Precision
W4A16
Runtime
TensorRT Edge-LLM 0.10.1 with Embedl optimizations
Context length
4,096 tokens

The smallest Gemma 4 model, with about 2B effective parameters, for on-device use, with images.

Files

Image Size

Model

docker.io/embedl/model-artifacts:gemma4-e2b.huggingface_int4_embedl-mtp_tensorrt-edgellm.b01f8a285fb11843

 7.37 GiB

Runtime

docker.io/embedl/models:runtimes.tensorrt-edgellm.arm64.2026101815014ee0

 1.01 GiB