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Comparison table
| Item | gemma-2b-it lmstudio-ai ✕ Remove |
|---|---|
| Parameters | 2.5B |
| Architecture | gemma |
| Max context length | 8,192 |
| Representative quantization and size Measured | Q4_K_M · 1.50 GB |
| Memory at 8K Estimated | 2.72 GB |
| Memory at 32K Estimated | - |
| VRAM it fits (8K) Estimated | VRAM 4 GB+ |
| Smallest quantization (8K) Estimated | Q4_K_M · 1.50 GB → 2.72 GB |
| License | google-gemma-terms-of-use Unverified |
| llama.cpp support | Supported before llama.cpp b4409 |
| Downloads (30 days, total) | 24,795 |
| Human preference (LMArena) | 1,094 Gemma 2B 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.