gemma-4-26B-A4B-it-qat
2recorded runs
254.3best tok/s
1verified
What the gemma-4-26B-A4B-it-qat numbers mean
The fastest verified result on our board is 95.3 output tok/s on an RTX 3060 x2 at Q4_K_M with a 512-token context. That is about 10.5 ms per generated token — 500 tokens takes roughly 5.2 seconds. Prompt processing on the same record runs at 1962.1 tok/s, so a 2,000-token prompt is read in about 1.0 seconds. Peak VRAM was measured at 16.0 GB. Across the 2 records we hold for this model the range is 95.3–254.3 tok/s on 2 GPUs, because quantisation, context length and the engine build all move the number.
How much VRAM does gemma-4-26B-A4B-it-qat need?
gemma-4-26B-A4B-it-qat has 27.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 18.3 GB | 24 GB |
| Q8_0 (8-bit) | 33.8 GB | 48 GB |
| FP16 (16-bit) | 62.9 GB | 80 GB |
Fastest GPUs for this model (best tok/s)
- RTX 5090254.3
- RTX 3060 x295.3
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| gemma-4-26B-A4B-it | 27B | 15.2 GB |
| gemma-4-26B-A4B-it-ultra-uncensored-heretic | 27B | 15.2 GB |
| Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP | 27B | 15.2 GB |
| Ornstein3.6-27B-MTP-NSC-ACE-SABER | 27B | 15.2 GB |
| Qwen3.8-27B-MTP | 27B | 15.2 GB |
| Ternary Bonsai 2 27B | 27B | 15.2 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX 3060 x2 · 12 GB | gemma-4-26B-A4B-it-qat | Q4_K_M | llama.cpp 13f2b28 | 512 | 95.3 ✓ | 1962.1 | 16.0 | src |
| RTX 5090 · 32 GB | gemma-4-26B-A4B-it-qat | Q4_0 | lmstudio — | 2048 | 254.3 … | 488.7 | — | src |