Can I Run Qwen 2.5 Family on NVIDIA GeForce RTX 3090?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, but it's tight — Qwen 2.5 Coder 32B at Q4_K_M needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), leaving ~1.7 GB of the NVIDIA GeForce RTX 3090's 24 GB, at ~27 tok/s (est.), with room for up to 8K context.
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NVIDIA GeForce RTX 3090 Specs
| VRAM | 24 GB |
| Memory Bandwidth | 936 GB/s |
Qwen 2.5 Coder 32B on the NVIDIA GeForce RTX 3090: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 66.9 GB | ✗ No | — | — |
| Q8_0 | 36.9 GB | ✗ No | — | — |
| Q6_K | 29.2 GB | ✗ No | — | — |
| Q5_K_M | 25.6 GB | ✗ No | — | — |
| Q4_K_M | 22.3 GB | ✓ Yes | 8K | — |
| Q3_K_M | 16.6 GB | ✓ Yes | 32K | — |
| Q2_K | 13.5 GB | ✓ Yes | 32K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 24 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 3090: 8K 22.3 GB · 32K 28.7 GB ✗ · 128K 54.5 GB ✗. Past 32K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Qwen 2.5 Coder 32B on 32 GB of system RAM, CPU only: runs comfortably.
Qwen 2.5 Family Sizes That Fit the NVIDIA GeForce RTX 3090 (at 8K context)
| Qwen 2.5 Coder 32B | Q4_K_M · 22.3 GB at 8K context · ~27 tok/s (est.) |
| Qwen 2.5 14B Instruct | Q4_K_M · 10.9 GB at 8K context · ~55 tok/s (est.) |
| Qwen 2.5 7B Instruct | Q4_K_M · 5.9 GB at 8K context · ~95 tok/s (est.) |
At 2 hrs/day, buying (~$1,499) beats renting at $0.34/hr after about 6.1 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Can I run Qwen 2.5 Family on the NVIDIA GeForce RTX 3090?
Yes, but it's tight — Qwen 2.5 Coder 32B at Q4_K_M needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), leaving ~1.7 GB of the NVIDIA GeForce RTX 3090's 24 GB, at ~27 tok/s (est.), with room for up to 8K context.
What's the best Qwen 2.5 Family size for the NVIDIA GeForce RTX 3090?
Qwen 2.5 Coder 32B at Q4_K_M quantization needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), estimated ~27 tokens/sec, up to 8K context.
Every Qwen 2.5 Family size on the NVIDIA GeForce RTX 3090
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 2.5 72B Instruct | 47 GB | Does not fit | — |
| Qwen 2.5 Coder 32B | 22.3 GB | Runs | ~27 tok/s |
| Qwen 2.5 14B Instruct | 10.9 GB | Runs | ~55 tok/s |
| Qwen 2.5 7B Instruct | 5.9 GB | Runs | ~95 tok/s |
Qwen 2.5 Family on Other GPUs
Popular Models on the NVIDIA GeForce RTX 3090
VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | Qwen 2.5 Family Model Page | NVIDIA GeForce RTX 3090 GPU Page | VRAM calculator | Check Your Hardware