community pool / model answer
gemma-4-E4B-it-GGUF
chat · unsloth/gemma-4-E4B-it-GGUF
68.8 tok/s · model median · 35 runs in the model record.
| Reference rig | Quantization | Median result | Basis | TTFT (ms) | Peak VRAM | Max context | Engines |
|---|---|---|---|---|---|---|---|
| Minisforum UM790 Pro 64GB | 4-bit | 21.7 tok/s | reported | - | - GB | 2,048 | llama.cpp |
| Radeon 890M 32GB | 4-bit | 18.7 tok/s | reported | 1,350 | - GB | 2,048 | llama.cpp |
| RTX 2080 Ti 11GB | 4-bit | 106 tok/s | reported | - | - GB | 2,048 | llama.cpp |
| RTX 2080 Ti 11GB | 6-bit | 89 tok/s | reported | - | - GB | 2,048 | llama.cpp |
| RTX 2080 Ti 11GB | 8-bit | 80 tok/s | reported | - | - GB | 2,048 | llama.cpp |
| RTX 3050 8GB | 5-bit | 46.4 tok/s | reported | 169 | - GB | 128,000 | llama.cpp |
| RTX 3060 12GB | 4-bit | 69.9 tok/s | measured | 1,066 | 3.5 GB | 131,072 | llama.cpp |
| RTX 3060 12GB ×2 | 4-bit | 69.3 tok/s | measured | 5,185 | 5.3 GB | 131,072 | llama.cpp |
| Ryzen AI Max 385 24GB | 4-bit | 18.7 tok/s | reported | 1,350 | - GB | 2,048 | llama.cpp |
Context tested
The table above is the tested context for each exact rig and quantization cell. Empty fields remain empty rather than being filled with an estimate.