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Endigest AI Core Summary
Gemma 4 is Google DeepMind's open-source multimodal model family released on Hugging Face with Apache 2 licenses.
•Available in four sizes ranging from 2.3B to 31B parameters, supporting image, text, and audio inputs with context windows up to 256K tokens.
•Features Per-Layer Embeddings (PLE) and Shared KV Cache for efficient on-device deployment and long context generation.
•Achieves high performance with Gemma 31B reaching LMArena score of 1452 and 26B MoE model at 1441 with only 4B active parameters.
•Supports diverse deployment options including transformers, llama.cpp, MLX, WebGPU, and Rust for broad compatibility.
•Demonstrates strong multimodal capabilities including object detection, OCR, speech-to-text, GUI detection, function calling, and video understanding.
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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