Model comparison
SambaLingo-Japanese-Chat vs HyperCLOVAX-SEED-Text-Instruct-1.5B
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| SambaLingo-Japanese-Chat | HyperCLOVAX-SEED-Text-Instruct-1.5B | |
|---|---|---|
| Parameters | 6.9B | 1.6B |
| Architecture | llama | llama |
| Layers | 32 | — |
| Native context | 4,096 | — |
| Mixture of experts | no | no |
| Quantizations published | 22 | 1 |
| Smallest quantization | 1.52 GiB | 1.06 GiB |
| Q4_K_M | — | 1.06 GiB |
| Licence | llama2 | other |
KV cache by context
the term that decides long-context viability
| Context | SambaLingo-Japanese-Chat | HyperCLOVAX-SEED-Text-Instruct-1.5B | Ratio |
|---|---|---|---|
| 4,096 | 2.00 GiB | — | — |
| 8,192 | 4.00 GiB | — | — |
| 16,384 | 8.00 GiB | — | — |
| 32,768 | 16.00 GiB | — | — |
| 65,536 | 32.00 GiB | — | — |
| 131,072 | 64.00 GiB | — | — |