Model comparison
CodeLlama-7b-python-hf 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 4,081,004,288.
From the file· summed bytes, KV per layer
Side by side
| CodeLlama-7b-python-hf | HyperCLOVAX-SEED-Text-Instruct-1.5B | |
|---|---|---|
| Parameters | 6.7B | 1.6B |
| Architecture | llama | llama |
| Layers | 32 | — |
| Native context | 16,384 | — |
| Mixture of experts | no | no |
| Quantizations published | 12 | 1 |
| Smallest quantization | 2.63 GiB | 1.06 GiB |
| Q4_K_M | 3.80 GiB | 1.06 GiB |
| Licence | llama2 | other |
KV cache by context
the term that decides long-context viability
| Context | CodeLlama-7b-python-hf | 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 | — | — |