Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Llama-3.2-1B-Instruct
At Q4_K_M, Llama-3.2-1B-Instruct is the smaller download — 807,690,688 bytes against 1,117,320,512.
From the file· summed bytes, KV per layer
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Llama-3.2-1B-Instruct | |
|---|---|---|
| Parameters | 1.8B | 1.2B |
| Architecture | qwen2 | llama |
| Layers | 28 | 16 |
| Native context | 131,072 | 131,072 |
| Mixture of experts | no | no |
| Quantizations published | 41 | 39 |
| Smallest quantization | 0.65 GiB | 0.39 GiB |
| Q4_K_M | 1.04 GiB | 0.75 GiB |
| Licence | apache-2.0 | — |
KV cache by context
the term that decides long-context viability
| Context | DeepSeek-R1-Distill-Qwen-1.5B | Llama-3.2-1B-Instruct | Ratio |
|---|---|---|---|
| 4,096 | 0.11 GiB | 0.13 GiB | 1.14× |
| 8,192 | 0.22 GiB | 0.25 GiB | 1.14× |
| 16,384 | 0.44 GiB | 0.50 GiB | 1.14× |
| 32,768 | 0.88 GiB | 1.00 GiB | 1.14× |
| 65,536 | 1.75 GiB | 2.00 GiB | 1.14× |
| 131,072 | 3.50 GiB | 4.00 GiB | 1.14× |