Gemma 4 12B audio attention issues with long prompts
๐กTroubleshooting a critical attention bottleneck in Gemma 4 12B for unified audio-text voice applications.
โก 30-Second TL;DR
What Changed
Gemma 4 12B fails to process audio when system prompts exceed ~21k tokens.
Why It Matters
This limitation restricts the use of unified models for complex voice-assistant tasks requiring extensive system instructions. Developers may need to adopt multi-model architectures until the attention mechanism is optimized.
What To Do Next
If building a voice assistant, implement a two-stage pipeline using a smaller model for audio transcription before passing text to the 12B model.
Key Points
- โขGemma 4 12B fails to process audio when system prompts exceed ~21k tokens.
- โขThe issue persists across multiple stacks including vLLM, llama.cpp, and LiteRT-LM.
- โขSmaller prompts allow the model to correctly attend to audio, suggesting an attention saturation bottleneck.
- โขUsers are currently using smaller models as audio front-ends to bypass the limitation.
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Original source: Reddit r/LocalLLaMA โ