StreamGemma-2.2B LiteRT-LM

This is the quantized, LiteRT-LM format package of the unreduced 2.21B parameter StreamGemma model. The model features dynamic range INT8 quantization and is optimized for ultra-low latency streaming inference on edge devices (Android, etc.).

Model Details

  • Architecture: StreamGemma-Nano v2
  • Parameters: 2.21B backbone
  • Format: LiteRT / TFLite Flatbuffers (INT8 Quantized)
  • Component Files:
    • audio_model.tflite: Handles PCM audio inputs (1.6GB)
    • text_model.tflite: Handles tokenized text inputs (2.6GB)
    • vision_model.tflite: Handles vision patch embeddings (2.6GB)
    • draft_model.tflite: Speculative decoding draft module (2.6GB)
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