Gemma 4

Gemma 4 models are designed to deliver frontier-level performance at each size, targeting deployment scenarios from mobile and edge devices (E2B, E4B) to consumer GPUs and workstations (26B A4B, 31B). They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.

Gemma 4 is licensed under the Apache-2.0 license. For more details, see the Gemma 4 Model Card.

Get Started

Chat with Gemma4-E2B, hosted on the Hugging Face LiteRT Community.

uv tool install litert-lm

litert-lm run  \
  --from-huggingface-repo=litert-community/gemma-4-E2B-it-litert-lm \
  gemma-4-E2B-it.litertlm \
  --prompt="What is the capital of France?"

Deploy from Safetensors

Follow these steps to deploy Gemma 4 starting from your custom safetensors (for example, after fine-tuning the model for your use-case):

  • Convert to a .litertlm format:

    uv tool install litert-torch-nightly

litert-torch export_hf \
  --model=google/gemma-4-E2B-it \
  --output_dir=/tmp/gemma4_2b \
  --externalize_embedder \
  --jinja_chat_template_override=litert-community/gemma-4-E2B-it-litert-lm

  • Deploy using LiteRT-LM cross-platform APIs:

    litert-lm run  \
  /tmp/gemma4_2b/model.litertlm \
  --prompt="What is the capital of France?"

Performance Summary

Gemma-4-E2B

  • Model Size: 2.58 GB

  • Additional technical details are in the HuggingFace model card

    Platform (Device) Backend Prefill (tk/s) Decode (tk/s) Time to First Token (seconds) Peak CPU Memory (MB)
    Android (S26 Ultra) CPU 557 47 1.8 1733
    GPU 3808 52 0.3 676
    iOS (iPhone 17 Pro) CPU 532 25 1.9 607
    GPU 2878 56 0.3 1450
    Linux (Arm 2.3 & 2.8 GHz, NVIDIA GeForce RTX 4090) CPU 260 35 4 1628
    GPU 11234 143 0.1 913
    macOS (MacBook Pro M4) CPU 901 42 1.1 736
    GPU 7835 160 0.1 1623
    IoT (Raspberry Pi 5 16GB) CPU 133 8 7.8 1546

Gemma-4-E4B

  • Model Size: 3.65 GB

  • Additional technical details are in the HuggingFace model card

    Platform (Device) Backend Prefill (tk/s) Decode (tk/s) Time to First Token (seconds) Peak CPU Memory (MB)
    Android (S26 Ultra) CPU 195 18 5.3 3283
    GPU 1293 22 0.8 710
    iOS (iPhone 17 Pro) CPU 159 10 6.5 961
    GPU 1189 25 0.9 3380
    Linux (Arm 2.3 & 2.8GHz / RTX 4090) CPU 82 18 12.6 3139
    GPU 7260 91 0.2 1119
    macOS (MacBook Pro M4 Max) CPU 277 27 3.7 890
    GPU 2560 101 0.4 3217
    IoT (Raspberry Pi 5 16GB) CPU 51 3 20.5 3069