community pool / model answer
gemma-4-E2B-it-GGUF
chat · unsloth/gemma-4-E2B-it-GGUF
90.4 tok/s · model median · 10 runs in the model record.
| Reference rig | Quantization | Median result | Basis | TTFT (ms) | Peak VRAM | Max context | Engines |
|---|---|---|---|---|---|---|---|
| M5 Pro 24GB | 8-bit | 77.4 tok/s | reported | 201 | - GB | 4,224 | llama.cpp |
| Radeon 890M 32GB | 4-bit | 35.2 tok/s | reported | 640 | - GB | 2,048 | llama.cpp |
| RTX 3060 12GB | 4-bit | 113.4 tok/s | reported | - | 1.9 GB | 32,768 | llama.cpp |
| Ryzen AI Max 385 24GB | 4-bit | 35.2 tok/s | measured | 640 | - GB | 2,048 | llama.cpp |
| Ryzen AI Max 395 64GB | 4-bit | 105.6 tok/s | measured | 532 | 3.8 GB | 8,192 | 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.