Can I Run EXAONE 3.5 7.8B on NVIDIA GeForce RTX 5090?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 września 2026
Yes. EXAONE 3.5 7.8B needs 6.6 GB at 8K context (4.7 GB weights + 1.9 GB KV cache/overhead) at Q4_K_M and the NVIDIA GeForce RTX 5090 has 32 GB, leaving about 25.4 GB of headroom, at roughly 176 tok/s (estimated) with room for up to 32K of context.
See what else this hardware can run →
The numbers
| Model | EXAONE 3.5 7.8B |
| Parameters | 7.8B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 6.6 GB |
| NVIDIA GeForce RTX 5090 VRAM | 32 GB |
| Verdict | Runs |
| Max context | 32K |
| Estimated speed | ~176 tok/s |
EXAONE 3.5 7.8B on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 17.5 GB | ✓ Yes | 32K | — |
| Q8_0 | 10.2 GB | ✓ Yes | 32K | — |
| Q6_K | 8.3 GB | ✓ Yes | 32K | — |
| Q5_K_M | 7.4 GB | ✓ Yes | 32K | — |
| Q4_K_M | 6.6 GB | ✓ Yes | 32K | — |
| Q3_K_M | 5.2 GB | ✓ Yes | 32K | — |
| Q2_K | 4.4 GB | ✓ Yes | 32K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5090: 8K 6.6 GB · 32K 9.8 GB. Every window this model publishes still fits 32 GB.
What to do next
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? EXAONE 3.5 7.8B on 16 GB of system RAM, CPU only: runs.
Running EXAONE 3.5 7.8B on this card:
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other EXAONE 3.5 sizes on the NVIDIA GeForce RTX 5090
- EXAONE 3.5 32B — runs (22.3 GB)
- EXAONE 3.5 2.4B — runs (2.9 GB)
EXAONE 3.5 7.8B on nearby hardware
- AMD Radeon RX 7900 XTX (24 GB) — runs
- Apple M3 Pro (36 GB) — runs
All EXAONE 3.5 sizes on the NVIDIA GeForce RTX 5090 | EXAONE 3.5 7.8B model page | NVIDIA GeForce RTX 5090 GPU page | VRAM calculator | Check your hardware