Can the RTX A1000 run Qwen3.8 27B?

No. Qwen3.8 27B needs about 17.8 GB at Q4_K_M (weights plus 1.8 GB runtime overhead), and the RTX A1000 has 8 GB, so it won't fit without offloading layers to system RAM, which is far slower.

VRAM
8 GB
Needs at Q4
17.8 GB
Short by
9.8 GB
Speed
-

Every quantization

Qwen3.8 27B (27.8B) on 8 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M16 GB17.8 GBToo big -
Q5_K_M20 GB21.8 GBToo big -
Q8_030 GB31.8 GBToo big -
FP1656 GB57.8 GBToo big -

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX A1000's 192 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.

What to do instead

Two ways forward

Cheapest cards that run it

Models that fit the RTX A1000

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Same model, other hardware - and other models on this card

Qwen3.8 27B on other hardware

Also runs on the RTX A1000

Frequently asked

Quick answers

Can the RTX A1000 run Qwen3.8 27B?

No. Qwen3.8 27B needs about 17.8 GB at Q4_K_M (weights plus 1.8 GB runtime overhead), and the RTX A1000 has 8 GB, so it won't fit without offloading layers to system RAM, which is far slower.

How much VRAM does Qwen3.8 27B need?

About 16 GB of weights at Q4_K_M, 30 GB at Q8_0 and 56 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is Qwen3.8 27B on the RTX A1000?

It doesn't fit in the RTX A1000's memory, so speed depends on how many layers you offload to system RAM - typically single-digit tokens per second or lower.