Can I run it?

Can I run MiMo V2.6 Distill Qwen 9B on GeForce RTX 3090?

Runs

Runs fully on your GeForce RTX 3090 at BF16, 8K context, about 28–39 tok/s. Weights 16.7 GB plus 0.27 GB of KV cache — 17.4 GB of 22.3 GB usable. Up to 128K context still fits.

Best quantBF16

Working context8K

Max that fits128K

Speed28–39 tok/s

Weights16.7 GB

KV cache0.27 GB

Total17.4 GB

Usable22.3 GB

MiMo V2.6 Distill Qwen 9B details · GeForce RTX 3090 page · How this estimate is made

Run commands

llama.cpp

llama-server -hf bartowski/MiMo-V2.6-Distill-Qwen-9B-GGUF:BF16 -c 8192 -ngl 32

No matching name in the Ollama library snapshot.

LM Studio

lms get bartowski/MiMo-V2.6-Distill-Qwen-9B-GGUF
# Then load quant BF16

Assumptions

Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
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%.
BF16 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 8K context, not at the maximum context that still fits.

Larger models that also fit

Can I run Qwen3.8 27B on GeForce RTX 3090? — Tight fit, UD-Q6_K, 23–31 tok/s
Can I run gemma 4 12b it on GeForce RTX 3090? — Runs, UD-Q8_K_XL, 31–42 tok/s
Can I run Qwen3.5 9B on GeForce RTX 3090? — Runs, BF16, 28–39 tok/s

Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.