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Comparison table
| Item | gemma-3n-E4B-it google ✕ Remove |
|---|---|
| Parameters | 6.9B |
| Architecture | gemma3n |
| Max context length | 32,768 |
| Representative quantization and size Measured | Q4_K_M · 4.54 GB |
| Memory at 8K Estimated | 5.71 GB |
| Memory at 32K Estimated | 5.92 GB |
| VRAM it fits (8K) Estimated | VRAM 6 GB+ |
| Smallest quantization (8K) Estimated | UD-IQ2_XXS · 2.83 GB → 4.01 GB |
| License | Gemma Terms of Use Conditional |
| llama.cpp support | llama.cpp b5769 and later |
| Downloads (30 days, total) | 46,047 |
| Human preference (LMArena) | 1,317 Gemma 3n E4B IT |
| Capabilities (Epoch AI) | - |
| Hard science (GPQA) | - |
- The representative quantization is Q4_K_M (or the smallest one if missing) from the source with the most downloads. Memory is estimated with an f16 KV cache.
- Third-party evaluations are other organizations' values for the original model before quantization, not this site's rating (sources are on the ranking page).
- This site does not judge which model is better or give an overall score.