HyperCLOVA X SEED Think 14B hardware requirements
About the model
- Parameters
- 14.75B
- Attention
- Full attention
- Max context
- 131,072 tokens
- Released
- 2025-07-21
GGUF files
| Quant | File size | Quality | Published by |
|---|---|---|---|
| Q4_K_Mbaseline | 8.92 GB | Good balance | Community GGUF · naver-ellm |
Memory needed by quant and context
| Quant | 4k | 8k | 16k | 32k | 64k | 128k |
|---|---|---|---|---|---|---|
| Q4_K_M | 10.1 | 10.8 | 12.1 | 14.8 | 20.2 | 31.0 |
Which GPUs can run HyperCLOVA X SEED Think 14B?
How to read the verdicts
- Runs great
- Fully on the GPU at 20 tok/s or more
- Runs well
- Fully on the GPU at 8–20 tok/s; MoE experts in system RAM at 20 tok/s or more; or at least 90% on the GPU at 8 tok/s or more
- Runs slowly
- 2–8 tok/s; CPU-only; less than 90% on the GPU; or MoE experts in system RAM below 20 tok/s
- Won't run
- Does not fit, or under 2 tok/s
Dense models split between GPU and CPU slow down sharply — the CPU side sets the pace. MoE models that keep only their experts in system RAM degrade far more gently.
Scroll sideways to see every column.
| Hardware | Verdict | Speed | Quant | Memory | Runs as | Context | Notes | Price |
|---|---|---|---|---|---|---|---|---|
| GeForce RTX 5090 | Runs great | est. 123.0 tok/s86.1–160.0theoretical estimate ±30% | Q4_K_M | 11.4 / 32.0 GB | Full GPU | up to 128k | — | $4,200 street (as of 2026-08-09) |
| Radeon RX 7900 XTX | Runs great | est. 73.4 tok/s51.4–95.5theoretical estimate ±30% | Q4_K_M | 11.4 / 24.0 GB | Full GPU | up to 64k | — | $999 launch MSRP |
| GeForce RTX 3090 Ti | Runs great | est. 69.2 tok/s48.4–90.0theoretical estimate ±30% | Q4_K_M | 11.4 / 24.0 GB | Full GPU | up to 64k | — | $1,999 launch MSRP |
| GeForce RTX 4090 | Runs great | est. 69.2 tok/s48.4–90.0theoretical estimate ±30% | Q4_K_M | 11.4 / 24.0 GB | Full GPU | up to 64k | — | $2,755 street (as of 2026-08-09) |
| GeForce RTX 5080 | Runs great | est. 65.9 tok/s46.1–85.7theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | $1,256 street (as of 2026-08-09) |
| GeForce RTX 3090 | Runs great | est. 64.3 tok/s45.0–83.5theoretical estimate ±30% | Q4_K_M | 11.4 / 24.0 GB | Full GPU | up to 64k | — | $1,050 street (as of 2026-08-09) |
| GeForce RTX 3080 12GB | Runs great | est. 62.6 tok/s43.8–81.4theoretical estimate ±30% | Q4_K_M | 11.4 / 12.0 GB | Full GPU | up to 8k | — | $799 launch MSRP |
| GeForce RTX 5070 Ti | Runs great | est. 61.5 tok/s43.1–80.0theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | $949 street (as of 2026-08-09) |
| GeForce RTX 5080 Laptop | Runs great | est. 61.5 tok/s43.1–80.0theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | — |
| GeForce RTX 5090 Laptop | Runs great | est. 61.5 tok/s43.1–80.0theoretical estimate ±30% | Q4_K_M | 11.4 / 24.0 GB | Full GPU | up to 64k | — | — |
| Radeon RX 7900 XT | Runs great | est. 61.2 tok/s42.8–79.6theoretical estimate ±30% | Q4_K_M | 11.4 / 20.0 GB | Full GPU | up to 32k | — | $899 launch MSRP |
| GeForce RTX 4080 Super | Runs great | est. 50.5 tok/s35.4–65.7theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | $999 launch MSRP |
| Radeon RX 9070 | Runs great | est. 49.3 tok/s34.5–64.2theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | $639 street (as of 2026-08-09) |
| Radeon RX 9070 XT | Runs great | est. 49.3 tok/s34.5–64.2theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | $689 street (as of 2026-08-09) |
| GeForce RTX 4080 | Runs great | est. 49.2 tok/s34.5–64.0theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | $1,199 launch MSRP |
| Radeon RX 7800 XT | Runs great | est. 47.7 tok/s33.4–62.1theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | $499 launch MSRP |
| GeForce RTX 4070 Ti Super | Runs great | est. 46.1 tok/s32.3–60.0theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | $799 launch MSRP |
| GeForce RTX 5070 | Runs great | est. 46.1 tok/s32.3–60.0theoretical estimate ±30% | Q4_K_M | 11.4 / 12.0 GB | Full GPU | up to 8k | — | $629 street (as of 2026-08-09) |
| GeForce RTX 5070 Ti Laptop | Runs great | est. 46.1 tok/s32.3–60.0theoretical estimate ±30% | Q4_K_M | 11.4 / 12.0 GB | Full GPU | up to 8k | — | — |
| GeForce RTX 4090 Laptop | Runs great | est. 39.5 tok/s27.7–51.4theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 16k | — | — |
| Apple M5 Max (40-core GPU) · 48 GB | Runs great | est. 36.1 tok/s25.3–47.0theoretical estimate ±30% | Q4_K_M | 10.8 / 33.6 GB | Unified memory | up to 16k | — | — |
| Apple M3 Ultra · 96 GB | Runs great | est. 35.3 tok/s24.7–46.0theoretical estimate ±30% | Q4_K_M | 10.8 / 67.2 GB | Unified memory | up to 16k | — | — |
| GeForce RTX 4070 | Runs great | est. 34.6 tok/s24.2–45.0theoretical estimate ±30% | Q4_K_M | 11.4 / 12.0 GB | Full GPU | up to 8k | — | $599 launch MSRP |
| GeForce RTX 4070 Super | Runs great | est. 34.6 tok/s24.2–45.0theoretical estimate ±30% | Q4_K_M | 11.4 / 12.0 GB | Full GPU | up to 8k | — | $599 launch MSRP |
| Apple M2 Ultra · 64 GB | Runs great | est. 34.5 tok/s24.2–44.9theoretical estimate ±30% | Q4_K_M | 10.8 / 44.8 GB | Unified memory | up to 16k | — | — |
| Apple M4 Max (40-core GPU) · 48 GB | Runs great | est. 32.1 tok/s22.5–41.8theoretical estimate ±30% | Q4_K_M | 10.8 / 33.6 GB | Unified memory | up to 8k | — | — |
| GeForce RTX 5060 Ti 16GB | Runs great | est. 30.8 tok/s21.5–40.0theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 8k | — | $569 street (as of 2026-08-09) |
| GeForce RTX 2080 Ti | Runs well | est. 31.1 tok/s21.8–40.5theoretical estimate ±30% | Q4_K_M | 11.0 / 11.0 GB + 0.4 GB RAM | Partial offload | up to 8k |
| $999 launch MSRP |
| GeForce RTX 4080 Laptop | Runs well | est. 29.7 tok/s20.8–38.6theoretical estimate ±30% | Q4_K_M | 11.4 / 12.0 GB | Full GPU | up to 8k | — | — |
| Apple M5 Max (32-core GPU) · 36 GB | Runs well | est. 27.1 tok/s19.0–35.2theoretical estimate ±30% | Q4_K_M | 10.8 / 25.2 GB | Unified memory | up to 64k | — | — |
| Intel Arc B580 | Runs well | est. 26.4 tok/s18.5–34.3theoretical estimate ±30% | Q4_K_M | 11.4 / 12.0 GB | Full GPU | up to 8k | — | $290 street (as of 2026-08-09) |
| GeForce GTX 1080 Ti | Runs well | est. 26.1 tok/s18.3–34.0theoretical estimate ±30% | Q4_K_M | 11.0 / 11.0 GB + 0.4 GB RAM | Partial offload | up to 8k | — | $699 launch MSRP |
| GeForce RTX 3060 12GB | Runs well | est. 24.7 tok/s17.3–32.1theoretical estimate ±30% | Q4_K_M | 11.4 / 12.0 GB | Full GPU | up to 8k | — | $250 street (as of 2026-08-09) |
| Radeon RX 9060 XT 16GB | Runs well | est. 24.6 tok/s17.2–32.0theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | $449 street (as of 2026-08-09) |
| Apple M4 Max (32-core GPU) · 36 GB | Runs well | est. 24.1 tok/s16.9–31.4theoretical estimate ±30% | Q4_K_M | 10.8 / 25.2 GB | Unified memory | up to 64k | — | — |
| GeForce RTX 4060 Ti 16GB | Runs well | est. 19.8 tok/s13.8–25.7theoretical estimate ±30% | Q4_K_M | 11.4 / 16.0 GB | Full GPU | up to 32k | — | $499 launch MSRP |
| Apple M5 Pro · 24 GB | Runs well | est. 18.1 tok/s12.6–23.5theoretical estimate ±30% | Q4_K_M | 10.8 / 16.8 GB | Unified memory | up to 32k | — | — |
| Ryzen AI Max+ 395 (Strix Halo) · 32 GB | Runs well | est. 16.3 tok/s11.4–21.2theoretical estimate ±30% | Q4_K_M | 10.8 / 22.4 GB | Unified memory | up to 16k | — | $1,999 launch MSRP |
| Apple M4 Pro · 24 GB | Runs well | est. 16.1 tok/s11.2–20.9theoretical estimate ±30% | Q4_K_M | 10.8 / 16.8 GB | Unified memory | up to 16k | — | — |
| GeForce RTX 3080 10GB | Runs slowly | est. 19.5 tok/s13.7–25.4theoretical estimate ±30% | Q4_K_M | 10.0 / 10.0 GB + 1.4 GB RAM | Partial offload | up to 32k |
| $699 launch MSRP |
| NVIDIA DGX Spark · 128 GB | Runs slowly | est. 10.7 tok/s7.5–13.9theoretical estimate ±30% | Q4_K_M | 10.8 / 89.6 GB | Unified memory | up to 128k | — | $3,999 launch MSRP |
| GeForce RTX 3070 | Runs slowly | est. 9.4 tok/s6.6–12.2theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 3.4 GB RAM | Partial offload | up to 32k | — | $499 launch MSRP |
| GeForce RTX 5060 | Runs slowly | est. 9.4 tok/s6.6–12.2theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 3.4 GB RAM | Partial offload | up to 32k | — | $339 street (as of 2026-08-09) |
| GeForce RTX 5060 Ti 8GB | Runs slowly | est. 9.4 tok/s6.6–12.2theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 3.4 GB RAM | Partial offload | up to 32k | — | $429 street (as of 2026-08-09) |
| Apple M5 · 16 GB | Runs slowly | est. 9.0 tok/s6.3–11.8theoretical estimate ±30% | Q4_K_M | 10.8 / 11.2 GB | Unified memory | up to 8k | — | — |
| GeForce RTX 4060 Ti 8GB | Runs slowly | est. 8.5 tok/s6.0–11.1theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 3.4 GB RAM | Partial offload | up to 32k | — | $399 launch MSRP |
| GeForce RTX 4060 | Runs slowly | est. 8.4 tok/s5.9–10.9theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 3.4 GB RAM | Partial offload | up to 32k | — | $299 launch MSRP |
| GeForce RTX 4060 Laptop | Runs slowly | est. 8.2 tok/s5.8–10.7theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 3.4 GB RAM | Partial offload | up to 32k | — | — |
| GeForce RTX 4070 Laptop | Runs slowly | est. 8.2 tok/s5.8–10.7theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 3.4 GB RAM | Partial offload | up to 32k | — | — |
| GeForce RTX 3050 8GB | Runs slowly | est. 7.9 tok/s5.5–10.3theoretical estimate ±30% | Q4_K_M | 8.0 / 8.0 GB + 3.4 GB RAM | Partial offload | up to 32k | — | $249 launch MSRP |
| Apple M4 · 16 GB | Runs slowly | est. 7.1 tok/s4.9–9.2theoretical estimate ±30% | Q4_K_M | 10.8 / 11.2 GB | Unified memory | up to 8k | — | — |
| DDR5-6000 dual-channel CPU · 16 GB | Runs slowly | est. 4.7 tok/s3.3–6.1theoretical estimate ±30% | Q4_K_M | 10.2 GB RAM | CPU only | up to 16k | — | — |
| DDR5-5600 dual-channel CPU · 16 GB | Runs slowly | est. 4.4 tok/s3.1–5.7theoretical estimate ±30% | Q4_K_M | 10.2 GB RAM | CPU only | up to 16k | — | — |
| DDR4-3200 dual-channel CPU · 64 GB | Won't run | est. 2.5 tok/s1.8–3.3theoretical estimate ±30% | Q4_K_M | 10.2 GB RAM | CPU only | — |
| — |
Reasoning models spend extra tokens thinking, so their speed thresholds are 1.5× stricter (30 / 12 / 3 tok/s).
Cheapest GPUs that run it
- Runs greatGeForce RTX 5060 Ti 16GB$569 street (as of 2026-08-09), est. 30.8 tok/s (21.5–40.0, theoretical estimate ±30%).
- Runs wellGeForce RTX 3060 12GB$250 street (as of 2026-08-09), est. 24.7 tok/s (17.3–32.1, theoretical estimate ±30%).
Measured results for HyperCLOVA X SEED Think 14B
No public measurements for this model yet.
Frequently asked questions
How much VRAM does HyperCLOVA X SEED Think 14B need?
At Q4_K_M the weights are 8.92 GB; with 8k context the total is about 10.8 GB (KV cache 1.3 GB, compute buffer 0.6 GB).
What is the cheapest GPU that runs HyperCLOVA X SEED Think 14B well?
Cheapest that runs it great: GeForce RTX 5060 Ti 16GB at $569 (street price as of 2026-08-09), est. 30.8 tok/s (21.5–40.0, theoretical estimate ±30%). Cheaper and still Runs well: GeForce RTX 3060 12GB at $250 (street price as of 2026-08-09), est. 24.7 tok/s (17.3–32.1, theoretical estimate ±30%).
Can HyperCLOVA X SEED Think 14B run on an 8 GB, 16 GB or 24 GB GPU?
At Q4_K_M with 8k context: GeForce RTX 4060 — Runs slowly, est. 8.4 tok/s (5.9–10.9, theoretical estimate ±30%); GeForce RTX 5060 Ti 16GB — Runs great, est. 30.8 tok/s (21.5–40.0, theoretical estimate ±30%); GeForce RTX 3090 — Runs great, est. 64.3 tok/s (45.0–83.5, theoretical estimate ±30%).
Speeds are estimates from memory bandwidth, calibrated against public benchmarks, and each one comes with an error band and a confidence label. Real results vary with drivers, backend, context length and thermals.