Is Qwen3.8-27B or LFM2-24B-A2B smaller?

LFM2-24B-A2B is smaller at Q4_K_M: 13.43 GiB against 15.66 GiB.

Which uses less memory at long context?

LFM2-24B-A2B — its KV cache at 32K context is 3.2x smaller, because of how its attention layers cache.

Model comparison

Qwen3.8-27B vs LFM2-24B-A2B

At Q4_K_M, LFM2-24B-A2B is the smaller download — 14,415,473,952 bytes against 16,810,714,336. At long context the gap widens: LFM2-24B-A2B's KV cache at 32K is 3.2× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Qwen3.8-27B	LFM2-24B-A2B
Parameters	27.8B	23.8B
Architecture	qwen35	lfm2moe
Layers	64	40
Native context	262,144	128,000
Mixture of experts	no	yes, 64 experts
Quantizations published	22	33
Smallest quantization	8.39 GiB	5.35 GiB
Q4_K_M	15.66 GiB	13.43 GiB
Licence	apache-2.0	other

KV cache by context

the term that decides long-context viability

Context	Qwen3.8-27B	LFM2-24B-A2B	Ratio
4,096	0.25 GiB	0.08 GiB	3.20×
8,192	0.50 GiB	0.16 GiB	3.20×
16,384	1.00 GiB	0.31 GiB	3.20×
32,768	2.00 GiB	0.63 GiB	3.20×
65,536	4.00 GiB	1.25 GiB	3.20×
131,072	8.00 GiB	2.50 GiB	3.20×