Can an NVIDIA GeForce RTX 3090 run Qwen2.5-7B-Instruct?
Yes. Qwen2.5-7B-Instruct needs 9.04GB at Q8_0 with llama.cpp and 8K context; the NVIDIA GeForce RTX 3090 has 24GB of VRAM (23.5GB usable) — grade A+, with decode speed in the interactive tier.
NVIDIA GeForce RTX 3090 · Qwen2.5-7B-Instruct · Q8_0
✅ Fits — grade A+
Interactive
weights 8.10 GBKV cache 0.47 GBoverhead 0.47 GBpool 23.5 GBneeds 9.04 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 × Qwen2.5-7B-Instruct, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| Q8_0 | 8.1 GB | Fits · A+ | interactive |
| Q6_K | 6.3 GB | Fits · A+ | interactive |
| Q5_K_M | 5.4 GB | Fits · A+ | interactive |
| Q4_K_M | 4.7 GB | Fits · A+ | interactive |
Qwen2.5-7B-Instruct 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.