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Comparison table
| Item | ELYZA-japanese-CodeLlama-7b-instruct 77ko88ok ✕ Remove |
|---|---|
| Parameters | 6.7B |
| Architecture | llama |
| Max context length | 16,384 |
| Representative quantization and size Measured | Q4_K_M · 4.08 GB |
| Memory at 8K Estimated | 8.98 GB |
| Memory at 32K Estimated | - |
| VRAM it fits (8K) Estimated | VRAM 12 GB+ |
| Smallest quantization (8K) Estimated | Q4_K_M · 4.08 GB → 8.98 GB |
| License | - |
| llama.cpp support | Supported before llama.cpp b4409 |
| Downloads (30 days, total) | 123 |
| 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.