← Can It Run? — GPU compatibility matrix · Local LLMs guide
Qwen 2.5 14B needs 8.5 GB VRAM at Q4. The RTX 3080 10GB has 10 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 3080 10GB’s 10 GB of VRAM can hold it — here’s the exact math.
VRAM requirements
| Quantization | VRAM needed | RTX 3080 10GB |
|---|---|---|
| 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 3080 10GB, expect roughly ~35 tokens/sec in Ollama or llama.cpp — comfortably faster than reading speed, so chat feels responsive.
Headroom: 8.5 GB used of 10 GB leaves about 1.5 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 3080 10GB
Architecture: Ampere · VRAM: 10 GB · Price: ~$400 used.
Good: Fast memory bandwidth, strong tokens/sec for its tier
Watch out: Only 10GB — awkward middle ground, limits model size
Check current RTX 3080 10GB price on Amazon →
Related checks
Other models on the RTX 3080 10GB
🎯 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 3080 10GB run Qwen 2.5 14B?
Yes — runs great at Q4 (recommended). Qwen 2.5 14B needs 8.5 GB VRAM at Q4_K_M; the RTX 3080 10GB has 10 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 3080 10GB get on Qwen 2.5 14B?
Roughly ~35 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.