Can the RTX PRO 2000 Blackwell run Qwen3 14B?
Yes. Qwen3 14B fits the RTX PRO 2000 Blackwell's 16 GB at Q4_K_M (about 9.8 GB needed), running at an estimated 21 tok/s. There's room for up to Q5_K_M if you want higher quality.
Every quantization
Qwen3 14B (14B) on 16 GB
| Quant | Weights | Needs | Fit | Est. speed |
|---|---|---|---|---|
| Q4_K_M | 8 GB | 9.8 GB | Fits | ~21 tok/s |
| Q5_K_M | 10 GB | 11.8 GB | Fits | ~17 tok/s |
| Q8_0 | 16 GB | 17.8 GB | Too big | - |
| FP16 | 28 GB | 29.8 GB | Too big | - |
Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX PRO 2000 Blackwell's 288 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.
Run it
Copy, paste, go
ollama run qwen3:14bllama-server -hf Qwen/Qwen3-14B-GGUF -ngl 99Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Qwen3 14B details →
Compare
Same model, other hardware - and other models on this card
Qwen3 14B on other hardware
- RTX 5090~128 tok/s
- RTX 5090 D~128 tok/s
- RTX 6000D~113 tok/s
- RTX 4090~78 tok/s
- Radeon RX 7900 XTX~69 tok/s
- RTX 5080~69 tok/s
- RTX 3090~68 tok/s
- RTX 3080 Ti~65 tok/s
Also runs on the RTX PRO 2000 Blackwell
- Qwen2.5-Coder-14B-Instruct~18 tok/s
- Phi-4~19 tok/s
- Gemma 4 12B~24 tok/s
- Qwen3.5 9B~28 tok/s
- Llama 3.1 8B~30 tok/s
- Mistral-7B-Instruct-v0.2~41 tok/s
- Qwen3.5 4B~55 tok/s
- Qwen3-4B-Instruct-2507~83 tok/s
Frequently asked
Quick answers
Can the RTX PRO 2000 Blackwell run Qwen3 14B?
Yes. Qwen3 14B fits the RTX PRO 2000 Blackwell's 16 GB at Q4_K_M (about 9.8 GB needed), running at an estimated 21 tok/s. There's room for up to Q5_K_M if you want higher quality.
How much VRAM does Qwen3 14B need?
About 8 GB of weights at Q4_K_M, 16 GB at Q8_0 and 28 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.
How fast is Qwen3 14B on the RTX PRO 2000 Blackwell?
Roughly 21 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the RTX PRO 2000 Blackwell's 288 GB/s memory bandwidth.