Model comparison
Phi-4-mini-reasoning vs Llama-3.1-8B-Instruct
At Q4_K_M, Phi-4-mini-reasoning is the smaller download — 2,491,874,560 bytes against 4,920,739,168.
From the file· summed bytes, KV per layer
Side by side
| Phi-4-mini-reasoning | Llama-3.1-8B-Instruct | |
|---|---|---|
| Parameters | 3.8B | 8.0B |
| Architecture | phi3 | llama |
| Layers | 32 | 32 |
| Native context | 131,072 | 131,072 |
| Mixture of experts | no | no |
| Quantizations published | 45 | 45 |
| Smallest quantization | 1.06 GiB | 2.02 GiB |
| Q4_K_M | 2.32 GiB | 4.58 GiB |
| Licence | mit | llama3.1 |
KV cache by context
the term that decides long-context viability
| Context | Phi-4-mini-reasoning | Llama-3.1-8B-Instruct | Ratio |
|---|---|---|---|
| 4,096 | 0.50 GiB | 0.50 GiB | 1.00× |
| 8,192 | 1.00 GiB | 1.00 GiB | 1.00× |
| 16,384 | 2.00 GiB | 2.00 GiB | 1.00× |
| 32,768 | 4.00 GiB | 4.00 GiB | 1.00× |
| 65,536 | 8.00 GiB | 8.00 GiB | 1.00× |
| 131,072 | 16.00 GiB | 16.00 GiB | 1.00× |