Model comparison

EXAONE-3.5-2.4B-Instruct vs Llama-3.1-8B-Instruct

At Q4_K_M, EXAONE-3.5-2.4B-Instruct is the smaller download — 1,644,918,560 bytes against 4,920,739,168.

From the file· summed bytes, KV per layer

Side by side

EXAONE-3.5-2.4B-InstructLlama-3.1-8B-Instruct
Parameters2.4B8.0B
Architectureexaonellama
Layers32
Native context32,768131,072
Mixture of expertsnono
Quantizations published2645
Smallest quantization0.95 GiB2.02 GiB
Q4_K_M1.53 GiB4.58 GiB
Licenceotherllama3.1

KV cache by context

the term that decides long-context viability
ContextEXAONE-3.5-2.4B-InstructLlama-3.1-8B-InstructRatio
4,0960.50 GiB
8,1921.00 GiB
16,3842.00 GiB
32,7684.00 GiB
65,5368.00 GiB
131,07216.00 GiB