Unverified50% confidencePredictionExact time
The more realistic form of on-device deployment will likely be running 30B-scale models on 32 GB of memory, combined with sparse attention and retrieval augmentation.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/11/2026
First Seen
Valid until: 1/9/2027
Sources
Related Entities
Related Claims
Unverified48GB of memory can fit a 4-bit quantized 32B model, but the inference speed may slow to fewer than 1 token per second, making it nearly unusable for interactive purposes73% similarUnverified随着模型上下文窗口从4K到128K再到未来可能的数百万token持续扩大，记忆管理和状态管理的实际效果差距会逐渐缩小70% similarUnverified智能体对内存要求较高，64GB 内存可秒出结果，32GB 或 16GB 首次对话会较慢需要预热过程70% similar
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