Can an NVIDIA GeForce RTX 4090 run Qwen2.5-3B-Instruct?
Yes. Qwen2.5-3B-Instruct needs 4.01GB at Q8_0 with llama.cpp and 8K context; the NVIDIA GeForce RTX 4090 has 24GB of VRAM (23.5GB usable) — grade A+, with decode speed in the interactive tier.
NVIDIA GeForce RTX 4090 · Qwen2.5-3B-Instruct · Q8_0
✅ Fits — grade A+
Interactive
weights 3.29 GBKV cache 0.30 GBoverhead 0.42 GBpool 23.5 GBneeds 4.01 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 × Qwen2.5-3B-Instruct, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| Q8_0 | 3.3 GB | Fits · A+ | interactive |
| Q6_K | 2.5 GB | Fits · A+ | interactive |
| Q5_K_M | 2.2 GB | Fits · A+ | interactive |
| Q4_K_M | 1.9 GB | Fits · A+ | interactive |
Qwen2.5-3B-Instruct on similar hardware
Verdict computed from published specs and measured GGUF file sizes — see how the math works.