What GPU do I need to run naver-hyperclovax/HyperCLOVAX-SEED-Think-14B?
14.7B parameters, published in F32. View on Hugging Face
Set up HyperCLOVAX-SEED-Think-14BHyperCLOVAX-SEED-Think-14B is published by naver-hyperclovax on Hugging Face, with 31,244 downloads and 119 likes to date. It's a HyperCLOVAXForCausalLM model built for text-generation, published natively in F32.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| FP32 | 54.9 GB | 65.9 GB | A100 | 1 | $1.21/hr |
| cheaper alt. | V100 | 5 | $0.440/hr | ||
| FP8 (quantized) | 13.7 GB | 16.5 GB | RTX 4000 SFF Ada | 1 | $0.198/hr |
| INT4 (quantized) | 6.9 GB | 8.2 GB | RTX 5060 Ti | 1 | $0.110/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run HyperCLOVAX-SEED-Think-14B at its published (F32) precision: 1× A100, at $1.21/hr per GPU ($1.21/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
HyperCLOVAX-SEED-Think-14B: common questions
Can HyperCLOVAX-SEED-Think-14B run on a single GPU?
Yes, but not on a desktop card. At FP32 it needs 65.9 GB of VRAM, more than a single 32 GB desktop card holds. The cheapest live single-card fit is a 80.0 GB A100 at $1.21/hr.
Can HyperCLOVAX-SEED-Think-14B run in 16-bit instead of FP32?
Yes. Its published weights are FP32, 54.9 GB, or 65.9 GB once inference overhead is added. Loading the same weights in 16 bits halves that to 27.5 GB, or 33.0 GB with overhead. How much accuracy the cast costs is model-specific and is not measured here.
What is the least VRAM HyperCLOVAX-SEED-Think-14B can run in?
8.2 GB, at INT4 (quantized), which fits a 12 GB card, against 65.9 GB at FP32. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.
Does quantizing HyperCLOVAX-SEED-Think-14B lower the GPU bill?
Yes. At FP32 the cheapest live fit is one A100 at $1.21/hr. At INT4 (quantized) it drops to one RTX 5060 Ti at $0.110/hr, provided a quantized checkpoint exists for it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More naver-hyperclovax models
- HyperCLOVAX-SEED-Think-32B (33.3B, BF16)
- HyperCLOVAX-SEED-Vision-Instruct-3B (3.7B, F32)
Related reading: A100 pricing and specs, and The best GPUs for AI, ranked.
