Can an NVIDIA GeForce RTX 3090 run Qwen3-32B?
Just barely. Qwen3-32B needs 22.4GB at Q4_K_M with llama.cpp and 8K context; the NVIDIA GeForce RTX 3090 has 24GB of VRAM (23.5GB usable) — grade C: it loads, but there is little headroom for longer context.
NVIDIA GeForce RTX 3090 · Qwen3-32B · Q4_K_M
⚠️ Tight — grade C
Interactive
weights 19.8 GBKV cache 2.15 GBoverhead 0.52 GBpool 23.5 GBneeds 22.4 GB
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache
$1,499 MSRP · as of 2026-07-08
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Every quant, graded
NVIDIA GeForce RTX 3090 × Qwen3-32B, 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 | usable · offload · beta |
| Q5_K_M | 23.2 GB | Tight · C | usable · offload · beta |
| Q4_K_M | 19.8 GB | Tight · C | interactive |
Qwen3-32B on similar hardware
More models on the NVIDIA GeForce RTX 3090
Verdict computed from published specs and measured GGUF file sizes — see how the math works.