Is deepseek-llm-7b-chat or HyperCLOVAX-SEED-Text-Instruct-1.5B smaller?

HyperCLOVAX-SEED-Text-Instruct-1.5B is smaller at Q4_K_M: 1.06 GiB against 3.93 GiB.

Which uses less memory at long context?

We cannot resolve the KV layout for one of these models, so we do not publish a comparison.

Model comparison

At Q4_K_M, HyperCLOVAX-SEED-Text-Instruct-1.5B is the smaller download — 1,133,974,368 bytes against 4,223,768,032.

From the file· summed bytes, KV per layer

	deepseek-llm-7b-chat	HyperCLOVAX-SEED-Text-Instruct-1.5B
Parameters	6.9B	1.6B
Architecture	llama	llama
Layers	30	—
Native context	4,096	—
Mixture of experts	no	no
Quantizations published	24	1
Smallest quantization	2.53 GiB	1.06 GiB
Q4_K_M	3.93 GiB	1.06 GiB
Licence	other	other

the term that decides long-context viability

Context	deepseek-llm-7b-chat	HyperCLOVAX-SEED-Text-Instruct-1.5B	Ratio
4,096	1.88 GiB	—	—
8,192	3.75 GiB	—	—
16,384	7.50 GiB	—	—
32,768	15.00 GiB	—	—
65,536	30.00 GiB	—	—
131,072	60.00 GiB	—	—