# Gemma 4 Capabilities Reference ## Modalities ### Text (all variants) - Standard instruction-following, chat, completion - System prompt support (critical — see synthesis) - 128K context window (training length) - 262K vocabulary ### Vision (all variants) - **Tested and verified working** (Seth, 2026-04-10) - Accurately described colors, shapes, composition in 256x256 test image - ~25 tok/s, ~24s end-to-end on pve197 V100 - Input: base64-encoded image in `images` field of Ollama API - Vision encoder: 16x16 patches, 2D RoPE, variable aspect ratio - Token budgets scale with resolution (70-1120 soft tokens) - Used in AI_Visualizer for SDXL frame quality criticism ### Audio (E2B/E4B only) - **Not tested by Seth** — status unknown in practice - Conformer architecture (~300M params), mel-spectrogram input - **Trained on SPEECH ONLY — not music or environmental sounds** - Maximum 30 seconds per clip - NOT available on 26B or 31B variants - AI_Visualizer explicitly rejected audio for music analysis (DECISIONS S2) — correct call, model wasn't trained for it ### Video (all variants) - E2B/E4B: video WITH audio (`load_audio_from_video=True`) - 31B/26B: video WITHOUT audio - Not explicitly post-trained on video but works - Maximum 60 seconds at 1 frame/second - Not tested by Seth ### Tool Calling / Function Calling - **Verified reliable** in both Simon and AI_Visualizer - Ollama native tool format (OpenAI-compatible function calling) - Simon: 6 genealogy tools, up to 12 sequential iterations - Supports parallel tool calls in single response - Weak at deeply nested JSON schemas -> prefer sequential calls ## Benchmark Context (vs Gemma 3) - 31B replaces Gemma 3 27B (60 layers vs 62, but wider) - MoE variant (26B) is new — no Gemma 3 equivalent - E-series with PLE is new — on-device focus - Proportional RoPE replaces linear frequency scaling -> better long-context - Shared KV cache is new -> more efficient inference ## What Gemma 4 Does NOT Do - No native code execution / sandboxing - No web browsing or retrieval - Audio only on E-series (not the models most people run) - No built-in RAG — tool calling can implement it