Can I run it?
Can I run Qwen3 Coder Next on RTX 6000 Ada?
Tight fit
Tight fit fully on your RTX 6000 Ada at UD-Q4_K_S, 4K context, about 28–38 tok/s. Weights 42.9 GB plus 0.38 GB of KV cache — 44.0 GB of 45.1 GB usable.
Best quantUD-Q4_K_S
Working context4K
Max that fits4K
Speed28–38 tok/sEstimate from memory bandwidth, not a benchmark. Method.
Weights42.9 GB
KV cache0.38 GB
Total44.0 GB
Usable45.1 GB
Qwen3 Coder Next details · RTX 6000 Ada page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3-Coder-Next-GGUF:UD-Q4_K_S -c 4096 -ngl 48
Ollama
ollama run qwen3-coder-next
LM Studio
lms get unsloth/Qwen3-Coder-Next-GGUF # Then load quant UD-Q4_K_S
Assumptions
- Estimate from memory bandwidth, not a benchmark. Decode speed uses 55–75% of peak bandwidth.
- KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
- UD-Q4_K_S size is the real GGUF file size from Hugging Face.
- 0.5 GB is reserved because this GPU also drives a display, then 5% of the rest is left free.
- Speed is quoted at 4K context, not at the maximum context that still fits.
Larger models that also fit
No close alternative in the current catalog.
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.