Can an NVIDIA GeForce RTX 5090 run Qwen2.5-32B-Instruct?
Yes. Qwen2.5-32B-Instruct needs 25.9GB at Q5_K_M with llama.cpp and 8K context; the NVIDIA GeForce RTX 5090 has 32GB of VRAM (31.5GB usable) — grade B, with decode speed in the interactive tier.
NVIDIA GeForce RTX 5090 · Qwen2.5-32B-Instruct · Q5_K_M
✅ Fits — grade B
Interactive
weights 23.3 GBKV cache 2.15 GBoverhead 0.52 GBpool 31.5 GBneeds 25.9 GB
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache
$1,999 MSRP · as of 2026-07-08
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Every quant, graded
NVIDIA GeForce RTX 5090 × Qwen2.5-32B-Instruct, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| Q8_0 | 34.8 GB | Tight · C | usable · offload · beta |
| Q6_K | 26.9 GB | Tight · C | interactive |
| Q5_K_M | 23.3 GB | Fits · B | interactive |
| Q4_K_M | 19.9 GB | Fits · B | interactive |
Qwen2.5-32B-Instruct on similar hardware
More models on the NVIDIA GeForce RTX 5090
Verdict computed from published specs and measured GGUF file sizes — see how the math works.