Model comparison

CHEETAH-350M-Merged-FP16 vs SmolLM2-135M-Instruct

At Q4_K_M, SmolLM2-135M-Instruct is the smaller download — 105,454,144 bytes against 231,031,616. At long context the gap widens: CHEETAH-350M-Merged-FP16's KV cache at 32K is 1.9× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

CHEETAH-350M-Merged-FP16SmolLM2-135M-Instruct
Parameters354M135M
Architecturelfm2llama
Layers1630
Native context128,0008,192
Mixture of expertsnono
Quantizations published4741
Smallest quantization0.10 GiB0.08 GiB
Q4_K_M0.22 GiB0.10 GiB
Licenceotherapache-2.0

KV cache by context

the term that decides long-context viability
ContextCHEETAH-350M-Merged-FP16SmolLM2-135M-InstructRatio
4,0960.05 GiB0.09 GiB1.87×
8,1920.09 GiB0.18 GiB1.87×
16,3840.19 GiB0.35 GiB1.87×
32,7680.38 GiB0.70 GiB1.87×
65,5360.75 GiB1.41 GiB1.87×
131,0721.50 GiB2.81 GiB1.87×
CHEETAH-350M-Merged-FP16 vs SmolLM2-135M-Instruct — size, memory and hardware fit — ossmodeldb