Unverified50% confidencePredictionExact time
Google may want to run a mid-sized model similar to Gemma 4 31B on phones, running relatively efficiently on approximately 32 GB of memory.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/11/2026
First Seen
Valid until: 1/9/2027
Sources
Related Entities
Related Claims
UnverifiedIn another internal case, a group of Google agents helped free more than 300 TB of memory by analyzing performance information.72% similarUnverifiedGoogle DeepMind open-sourced Gemma 4, with 31B parameters, featuring a native multimodal design that omits the traditional encoder structure.69% similarUnverifiedGoogle Sheets 通过 Google Sheets API v4 支持程序化批量追加写入，读写延迟通常 200-500ms，适合日均记录数万级以下的中小规模应用67% similarUnverified从Gemma 1到Gemma 2，Google的词表规模保持在256K tokens66% similarUnverifiedGoogle's open-source model Gemma 4 went live on the Cerebras inference platform, running at a speed of 1500+ tokens per second based on 31B open-source weights, achieving approximately 15x acceleration.65% similar
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