Can an NVIDIA GeForce RTX 4090 run Qwen2.5-32B-Instruct?
Just barely. Qwen2.5-32B-Instruct needs 22.5GB at Q4_K_M with llama.cpp and 8K context; the NVIDIA GeForce RTX 4090 has 24GB of VRAM (23.5GB usable) — grade C: it loads, but there is little headroom for longer context.
NVIDIA GeForce RTX 4090 · Qwen2.5-32B-Instruct · Q4_K_M
⚠️ Tight — grade C
Interactive
weights 19.9 GBKV cache 2.15 GBoverhead 0.52 GBpool 23.5 GBneeds 22.5 GB
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache
$1,599 MSRP · as of 2026-07-08
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Every quant, graded
NVIDIA GeForce RTX 4090 × 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 | usable · offload · beta |
| Q5_K_M | 23.3 GB | Tight · C | usable · offload · beta |
| Q4_K_M | 19.9 GB | Tight · C | interactive |
Qwen2.5-32B-Instruct on similar hardware
More models on the NVIDIA GeForce RTX 4090
Verdict computed from published specs and measured GGUF file sizes — see how the math works.