Model comparison

EXAONE-3.5-2.4B-Instruct vs Llama-3.2-1B-Instruct

At Q4_K_M, Llama-3.2-1B-Instruct is the smaller download — 807,690,688 bytes against 1,644,918,560.

From the file· summed bytes, KV per layer

Side by side

EXAONE-3.5-2.4B-InstructLlama-3.2-1B-Instruct
Parameters2.4B1.2B
Architectureexaonellama
Layers16
Native context32,768131,072
Mixture of expertsnono
Quantizations published2639
Smallest quantization0.95 GiB0.39 GiB
Q4_K_M1.53 GiB0.75 GiB
Licenceother

KV cache by context

the term that decides long-context viability
ContextEXAONE-3.5-2.4B-InstructLlama-3.2-1B-InstructRatio
4,0960.13 GiB
8,1920.25 GiB
16,3840.50 GiB
32,7681.00 GiB
65,5362.00 GiB
131,0724.00 GiB