Is Yi-Coder-1.5B-Chat or Qwen3-1.7B smaller?

Yi-Coder-1.5B-Chat is smaller at Q4_K_M: 0.90 GiB against 1.03 GiB.

Which uses less memory at long context?

Qwen3-1.7B — its KV cache at 32K context is 1.7x smaller, because of how its attention layers cache.

Model comparison

Yi-Coder-1.5B-Chat vs Qwen3-1.7B

At Q4_K_M, Yi-Coder-1.5B-Chat is the smaller download — 963,674,304 bytes against 1,107,409,472. At long context the gap widens: Qwen3-1.7B's KV cache at 32K is 1.7× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

	Yi-Coder-1.5B-Chat	Qwen3-1.7B
Parameters	1.5B	2.0B
Architecture	llama	qwen3
Layers	24	28
Native context	131,072	40,960
Mixture of experts	no	no
Quantizations published	33	48
Smallest quantization	0.46 GiB	0.50 GiB
Q4_K_M	0.90 GiB	1.03 GiB
Licence	—	—

KV cache by context

the term that decides long-context viability

Context	Yi-Coder-1.5B-Chat	Qwen3-1.7B	Ratio
4,096	0.75 GiB	0.44 GiB	1.71×
8,192	1.50 GiB	0.88 GiB	1.71×
16,384	3.00 GiB	1.75 GiB	1.71×
32,768	6.00 GiB	3.50 GiB	1.71×
65,536	12.00 GiB	7.00 GiB	1.71×
131,072	24.00 GiB	14.00 GiB	1.71×