← AI Hashrate 中文

Can RTX 3090 24GB run gemma-4-26B-A4B-it-AWQ-4bit?

NVIDIA · 24 GB GDDR6X · 936 GB/s bandwidth · cyankiwi · 26.6B · model ctx up to NoneK

✅ Yes — RTX 3090 24GB (24 GB) can run gemma-4-26B-A4B-it-AWQ-4bit at Q4 (8K)
VRAM: 20.95 GB needed of 24 GB
Speed: ~37.8 tok/s (estimated)
BB · GoodComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA
Estimates from memory-bandwidth formula; rows marked "measured" override. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K18.29 GBYes37.8 ± est.
Q48K default20.95 GBYes37.8 ± est.
Q432K36.91 GBNo27.0 ± est.
FP164K56.86 GBNo3.1 ± est.
FP168K default59.52 GBNo2.9 ± est.
FP1632K75.48 GBNo1.8 ± est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededRTX 3090 24GB VRAM
Q414.63 GB5.32 GB1 GB20.95 GB24 GB
FP1653.2 GB5.32 GB1 GB59.52 GB24 GB

Other GPUs that run gemma-4-26B-A4B-it-AWQ-4bit

All GPUs for gemma-4-26B-A4B-it-AWQ-4bit →

Other models for the RTX 3090 24GB

All models on the RTX 3090 24GB →