Unverified50% confidenceFactExact time
模型量化技术将 Gemma 2B 的内存占用从约 5GB 降至 1.5GB 左右
1
Sources
50%
Confidence
Long-term
Relevance
7/6/2026
First Seen
Sources
AIVenture：用地牢游戏玩透Agent开发与Vibe Coding
bilibili多巴胺矩阵7/3/2026
Related Claims
UnverifiedThrough targeted two-bit compression techniques, the Gemma 4 E-to-B model's memory footprint has been compressed to approximately 1GB81% similarUnverifiedAfter Gemma 4 QAT optimization, the minimum memory footprint can be reduced to 1GB79% similarVerified4-bit量化（如Q4_K_M）通常可将3B模型内存占用从约6GB压缩至约2GB，精度损失低于2-3%71% similarUnverifiedGemma 4 12B 在同等 16GB 内存限制下仅能达到约 70,000 tokens 上下文68% similarVerified4-bit量化使模型存储空间缩减为FP16的约1/466% similar
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