← Can It Run? — GPU compatibility matrix · Local LLMs guide
Qwen 2.5 14B needs 8.5 GB VRAM at Q4. The RTX 5090 32GB has 32 GB.
🌐 Qwen 2.5 14B (Alibaba) is a 14B-parameter model for code, math, multilingual reasoning. Excellent for technical tasks and code generation. The question is whether the RTX 5090 32GB’s 32 GB of VRAM can hold it — here’s the exact math.
VRAM requirements
| Quantization | VRAM needed | RTX 5090 32GB |
|---|---|---|
| Q4_K_M (recommended) | 8.5 GB | ✅ |
| Q8_0 (near-lossless) | 14.5 GB | ✅ |
Expected performance
Running Qwen 2.5 14B at Q4 on the RTX 5090 32GB, expect roughly ~65 tokens/sec in Ollama or llama.cpp — comfortably faster than reading speed, so chat feels responsive.
Headroom: 8.5 GB used of 32 GB leaves about 23.5 GB free for KV cache (context). That’s fine for 4-8K context; for 32K+ you may need a smaller batch or a lower quant.
About the RTX 5090 32GB
Architecture: Blackwell · VRAM: 32 GB · Price: ~$2,000+.
Good: 32GB + Blackwell speed — runs 70B at Q4 on a single card
Watch out: Very expensive, high power draw, hard to buy at MSRP
Check current RTX 5090 32GB price on Amazon →
Related checks
Other models on the RTX 5090 32GB
🎯 LLM Hardware Checker
Enter your exact GPU + RAM, see every model you can run.
💾 VRAM Requirements
Exact VRAM per model at Q4/Q5/Q8/FP16 with context scaling.
Frequently asked questions
Can the RTX 5090 32GB run Qwen 2.5 14B?
Yes — runs at Q4 and full Q8 quality. Qwen 2.5 14B needs 8.5 GB VRAM at Q4_K_M; the RTX 5090 32GB has 32 GB.
How much VRAM does Qwen 2.5 14B need?
Qwen 2.5 14B needs about 8.5 GB at Q4_K_M (recommended) and 14.5 GB at Q8_0.
How many tokens per second will the RTX 5090 32GB get on Qwen 2.5 14B?
Roughly ~65 tokens/sec at Q4 in Ollama or llama.cpp.
About the speed figure. The tokens/sec number above is an estimate, not a measured benchmark. Real throughput depends on your runtime and backend (Ollama, llama.cpp, vLLM), the exact quantization you download, context length, memory bandwidth, and whether any layers are offloaded to CPU. Treat it as a rough guide to the tier of performance, not a promised result.