← Can It Run? — GPU compatibility matrix · Local LLMs guide
Qwen 2.5 14B needs 8.5 GB VRAM at Q4. The Radeon RX 7900 XTX 24GB has 24 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 Radeon RX 7900 XTX 24GB’s 24 GB of VRAM can hold it — here’s the exact math.
VRAM requirements
| Quantization | VRAM needed | Radeon RX 7900 XTX 24GB |
|---|---|---|
| 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 Radeon RX 7900 XTX 24GB, expect roughly ~40 tokens/sec in Ollama or llama.cpp — comfortably faster than reading speed, so chat feels responsive.
Headroom: 8.5 GB used of 24 GB leaves about 15.5 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 Radeon RX 7900 XTX 24GB
Architecture: RDNA 3 · VRAM: 24 GB · Price: ~$900.
Good: 24GB at a good price; works with llama.cpp + ROCm/Vulkan
Watch out: AMD software stack is less plug-and-play than CUDA
Check current Radeon RX 7900 XTX 24GB price on Amazon →
Related checks
Other models on the Radeon RX 7900 XTX 24GB
🎯 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 Radeon RX 7900 XTX 24GB 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 Radeon RX 7900 XTX 24GB has 24 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 Radeon RX 7900 XTX 24GB get on Qwen 2.5 14B?
Roughly ~40 tokens/sec at Q4 in Ollama or llama.cpp.