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Comparison table
| Item | shisa-v2.1-qwen3-8b-UD-japanese-imatrix SiliconJelly ✕ Remove |
|---|---|
| Parameters | 8.2B |
| Architecture | qwen3 |
| Max context length | 40,960 |
| Representative quantization and size Measured | Q4_K_M · 5.03 GB |
| Memory at 8K Estimated | 7.08 GB |
| Memory at 32K Estimated | 10.7 GB |
| VRAM it fits (8K) Estimated | VRAM 8 GB+ |
| Smallest quantization (8K) Estimated | UD-IQ1_S · 2.28 GB → 4.33 GB |
| License | Apache License 2.0 Commercial OK |
| llama.cpp support | llama.cpp b5092 and later |
| Downloads (30 days, total) | 144 |
| Human preference (LMArena) | - |
| 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.