HyperCLOVA X SEED Think 14B hardware requirements
What is HyperCLOVA X SEED Think 14B?
HyperCLOVA X SEED Think 14B is a reasoning model NAVER released in July 2025, built with pruning and knowledge distillation followed by reinforcement learning. NAVER highlights its understanding of Korean language and culture. It supports function calling, and by default the model decides whether to reason, though each request can force reasoning on or skip it.
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 | 9.7 | 10.4 | 11.7 | 14.4 | 19.8 | 30.6 |
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.
Filter this list by budget, type and context in the calculator
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| 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 | 11.0 / 32.0 GB | Full GPU | up to 128k | — | $4,200 street (as of 2026-08-09) |
| NVIDIA RTX PRO 6000 Blackwell | Runs great | est. 123.0 tok/s86.1–160.0theoretical estimate ±30% | Q4_K_M | 11.0 / 96.0 GB | Full GPU | up to 128k | — | — |
| NVIDIA RTX PRO 6000 Blackwell Max-Q | Runs great | est. 123.0 tok/s86.1–160.0theoretical estimate ±30% | Q4_K_M | 11.0 / 96.0 GB | Full GPU | up to 128k | — | — |
| Radeon RX 7900 XTX | Runs great | est. 71.6 tok/s50.1–93.0theoretical estimate ±30% | Q4_K_M | 11.0 / 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 | 11.0 / 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 | 11.0 / 24.0 GB | Full GPU | up to 64k | — | $2,755 street (as of 2026-08-09) |
| Apple M5 Ultra · 96 GB | Runs great | est. 68.7 tok/s48.1–89.3theoretical estimate ±30% | Q4_K_M | 10.8 / 67.2 GB | Unified memory | up to 64k | — | — |
| GeForce RTX 5080 | Runs great | est. 65.9 tok/s46.1–85.7theoretical estimate ±30% | Q4_K_M | 11.0 / 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 | 11.0 / 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 | 11.0 / 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 | 11.0 / 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 | 11.0 / 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 | 11.0 / 24.0 GB | Full GPU | up to 64k | — | — |
| Radeon RX 7900 XT | Runs great | est. 59.6 tok/s41.7–77.5theoretical estimate ±30% | Q4_K_M | 11.0 / 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 | 11.0 / 16.0 GB | Full GPU | up to 32k | — | $999 launch MSRP |
| GeForce RTX 4080 | Runs great | est. 49.2 tok/s34.5–64.0theoretical estimate ±30% | Q4_K_M | 11.0 / 16.0 GB | Full GPU | up to 32k | — | $1,199 launch MSRP |
| Radeon RX 9070 | Runs great | est. 48.1 tok/s33.7–62.5theoretical estimate ±30% | Q4_K_M | 11.0 / 16.0 GB | Full GPU | up to 32k | — | $639 street (as of 2026-08-09) |
| Radeon RX 9070 XT | Runs great | est. 48.1 tok/s33.7–62.5theoretical estimate ±30% | Q4_K_M | 11.0 / 16.0 GB | Full GPU | up to 32k | — | $689 street (as of 2026-08-09) |
| Radeon RX 7800 XT | Runs great | est. 46.5 tok/s32.6–60.5theoretical estimate ±30% | Q4_K_M | 11.0 / 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 | 11.0 / 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 | 11.0 / 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 | 11.0 / 12.0 GB | Full GPU | up to 8k | — | — |
| Apple M3 Ultra · 96 GB | Runs great | est. 45.8 tok/s32.1–59.5theoretical estimate ±30% | Q4_K_M | 10.8 / 67.2 GB | Unified memory | up to 32k | — | — |
| Apple M5 Max (40-core GPU) · 48 GB | Runs great | est. 45.8 tok/s32.0–59.5theoretical estimate ±30% | Q4_K_M | 10.8 / 33.6 GB | Unified memory | up to 32k | — | — |
| Apple M2 Ultra · 64 GB | Runs great | est. 44.7 tok/s31.3–58.1theoretical estimate ±30% | Q4_K_M | 10.8 / 44.8 GB | Unified memory | up to 32k | — | — |
| GeForce RTX 2080 Ti | Runs great | est. 42.3 tok/s29.6–55.0theoretical estimate ±30% | Q4_K_M | 11.0 / 11.0 GB | Full GPU | up to 8k | — | $999 launch MSRP |
| Apple M4 Max (40-core GPU) · 48 GB | Runs great | est. 40.7 tok/s28.5–52.9theoretical estimate ±30% | Q4_K_M | 10.8 / 33.6 GB | Unified memory | up to 16k | — | — |
| GeForce RTX 4090 Laptop | Runs great | est. 39.5 tok/s27.7–51.4theoretical estimate ±30% | Q4_K_M | 11.0 / 16.0 GB | Full GPU | up to 16k | — | — |
| GeForce RTX 4070 | Runs great | est. 34.6 tok/s24.2–45.0theoretical estimate ±30% | Q4_K_M | 11.0 / 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 | 11.0 / 12.0 GB | Full GPU | up to 8k | — | $599 launch MSRP |
| Apple M5 Max (32-core GPU) · 36 GB | Runs great | est. 34.3 tok/s24.0–44.6theoretical estimate ±30% | Q4_K_M | 10.8 / 25.2 GB | Unified memory | up to 16k | — | — |
| GeForce GTX 1080 Ti | Runs great | est. 33.2 tok/s23.3–43.2theoretical estimate ±30% | Q4_K_M | 11.0 / 11.0 GB | Full GPU | up to 8k | — | $699 launch MSRP |
| GeForce RTX 5060 Ti 16GB | Runs great | est. 30.8 tok/s21.5–40.0theoretical estimate ±30% | Q4_K_M | 11.0 / 16.0 GB | Full GPU | up to 8k | — | $569 street (as of 2026-08-09) |
| Apple M4 Max (32-core GPU) · 36 GB | Runs great | est. 30.6 tok/s21.4–39.7theoretical estimate ±30% | Q4_K_M | 10.8 / 25.2 GB | Unified memory | up to 8k | — | — |
| GeForce RTX 4080 Laptop | Runs well | est. 29.7 tok/s20.8–38.6theoretical estimate ±30% | Q4_K_M | 11.0 / 12.0 GB | Full GPU | up to 8k | — | — |
| Intel Arc B580 | Runs well | est. 26.4 tok/s18.5–34.3theoretical estimate ±30% | Q4_K_M | 11.0 / 12.0 GB | Full GPU | up to 8k | — | $290 street (as of 2026-08-09) |
| GeForce RTX 3060 12GB | Runs well | est. 24.7 tok/s17.3–32.1theoretical estimate ±30% | Q4_K_M | 11.0 / 12.0 GB | Full GPU | up to 8k | — | $250 street (as of 2026-08-09) |
| Radeon RX 9060 XT 16GB | Runs well | est. 24.0 tok/s16.8–31.2theoretical estimate ±30% | Q4_K_M | 11.0 / 16.0 GB | Full GPU | up to 32k | — | $449 street (as of 2026-08-09) |
| Apple M5 Pro · 24 GB | Runs well | est. 22.9 tok/s16.0–29.8theoretical estimate ±30% | Q4_K_M | 10.8 / 16.8 GB | Unified memory | up to 32k | — | — |
| NVIDIA DGX Spark · 128 GB | Runs well | est. 20.9 tok/s14.6–27.2theoretical estimate ±30% | Q4_K_M | 10.8 / 116.9 GB | Unified memory | up to 32k | — | $3,999 launch MSRP (128 GB) |
| Ryzen AI Max+ 395 (Strix Halo) · 32 GB | Runs well | est. 20.6 tok/s14.4–26.8theoretical estimate ±30% | Q4_K_M | 10.8 / 22.4 GB | Unified memory | up to 32k | — | $1,999 launch MSRP (128 GB) |
| Apple M4 Pro · 24 GB | Runs well | est. 20.4 tok/s14.2–26.5theoretical estimate ±30% | Q4_K_M | 10.8 / 16.8 GB | Unified memory | up to 32k | — | — |
| GeForce RTX 4060 Ti 16GB | Runs well | est. 19.8 tok/s13.8–25.7theoretical estimate ±30% | Q4_K_M | 11.0 / 16.0 GB | Full GPU | up to 32k | — | $499 launch MSRP |
| Apple M6 · 24 GB | Runs well | est. 12.7 tok/s8.9–16.5theoretical estimate ±30% | Q4_K_M | 10.8 / 16.8 GB | Unified memory | up to 8k | — | — |
| 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 |
| Apple M5 · 16 GB | Runs slowly | est. 11.5 tok/s8.0–14.9theoretical estimate ±30% | Q4_K_M | 10.8 / 11.2 GB | Unified memory | up to 8k | — | — |
| 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 M4 · 16 GB | Runs slowly | est. 8.9 tok/s6.3–11.6theoretical 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 |
| 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 | — |
| — |
Models with a thinking mode spend extra tokens thinking, so their speed thresholds are 1.5× stricter (30 / 12 / 3 tok/s). With thinking turned off, a model may do one grade better.
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 file is 8.92 GB; with 8k context a graphics card needs about 10.4 GB (weights 8.53 GB, KV cache 1.3 GB, compute buffer 0.6 GB). Part of the file stays off the graphics card: llama.cpp keeps the input embedding table in system RAM. A Mac counts the whole file, so it needs a little more.
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.