Expired70% confidenceOpinionTime unknown
The Gemma 4 26B model is approximately 17 GB and is best suited for GPUs with 24 GB or more of VRAM, delivering the best programming performance
1
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
5/31/2026
First Seen
Valid until: 8/29/2026(expired)
Sources
Related Entities
Related Claims
UnverifiedThe Gemma 4 26B MOE version can run on a graphics card with 24GB of VRAM.85% similarUnverifiedAfter quantization, Gemma 4 31B has a model size of approximately 20GB, with measured GPU memory usage of approximately 20.5GB and GPU utilization of approximately 91%.79% similarUnverifiedThe FP16 version of Gemma 3 12B requires approximately 24 GB of VRAM, while the Q4_K_M version reduces this to approximately 7–8 GB, with inference speed improving by approximately 2–3x and structured output accuracy losing only approximately 2–5%.78% similarVerifiedGemma 4的1B/2B模型量化后仅需4GB显存即可运行76% similarVerifiedA 30B parameter model that originally required 60 GB of VRAM can run on consumer-grade GPUs with 16 GB or even 8 GB of VRAM after quantization.75% similar
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