A production-grade walkthrough — PDF ingestion, OCR, audio transcription, structured reasoning, and agentic tool calling — all on a 2.3B parameter model that fits on a single consumer GPU. Gemma 4 E2B Vision · OCR Audio · ASR Function Calling 128K Context April 2026 · ~22 min read · Google DeepMind / HuggingFace Transformers Contents Model Overview & Key Architecture Choices Environment Setup & Loading the Model The Document Intelligence Pipeline Vision Pipeline — OCR & Document Parsing Audio Pipeline — ASR & Translation Configurable Thinking Mode Agentic Tool Calling Production Serving with vLLM Benchmark Results 01 — Model Overview Why Gemma 4 E2B Changes On-Device AI The Gemma 4 family is a fundamental rethinking of what a small model can do. The E2B variant — "2B effective parameters" — achieves 2.3B active parameters while c...
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