Can I Run EXAONE 3.5 7.8B on NVIDIA RTX 6000 Ada Generation?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 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 RTX 6000 Ada Generation has 48 GB, leaving about 41.4 GB of headroom, at roughly 123 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 RTX 6000 Ada Generation VRAM | 48 GB |
| Verdict | Runs |
| Max context | 32K |
| Estimated speed | ~123 tok/s |
EXAONE 3.5 7.8B on the NVIDIA RTX 6000 Ada Generation: VRAM by quantization
| Quant | VRAM needed | Fits 48 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 48 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 RTX 6000 Ada Generation: 8K 6.6 GB · 32K 9.8 GB. Every window this model publishes still fits 48 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 (~$6,799) beats renting at $0.34/hr after about 27.8 years.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
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 RTX 6000 Ada Generation
- 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
- Apple M3 Pro (36 GB) — runs
All EXAONE 3.5 sizes on the NVIDIA RTX 6000 Ada Generation | EXAONE 3.5 7.8B model page | NVIDIA RTX 6000 Ada Generation GPU page | VRAM calculator | Check your hardware