Model comparison
ShizhenGPT-7B-VL vs HyperCLOVAX-SEED-Text-Instruct-1.5B
At Q4_K_M, HyperCLOVAX-SEED-Text-Instruct-1.5B is the smaller download — 1,133,974,368 bytes against 4,683,075,104.
From the file· summed bytes, KV per layer
Side by side
| ShizhenGPT-7B-VL | HyperCLOVAX-SEED-Text-Instruct-1.5B | |
|---|---|---|
| Parameters | 8.3B | 1.6B |
| Architecture | qwen2vl | llama |
| Layers | 28 | — |
| Native context | 128,000 | — |
| Mixture of experts | no | no |
| Quantizations published | 36 | 1 |
| Smallest quantization | 1.77 GiB | 1.06 GiB |
| Q4_K_M | 4.36 GiB | 1.06 GiB |
| Licence | apache-2.0 | other |
KV cache by context
the term that decides long-context viability
| Context | ShizhenGPT-7B-VL | HyperCLOVAX-SEED-Text-Instruct-1.5B | Ratio |
|---|---|---|---|
| 4,096 | 0.22 GiB | — | — |
| 8,192 | 0.44 GiB | — | — |
| 16,384 | 0.88 GiB | — | — |
| 32,768 | 1.75 GiB | — | — |
| 65,536 | 3.50 GiB | — | — |
| 131,072 | 7.00 GiB | — | — |