GPU

GIGABYTE AORUS GeForce RTX 5080 Master 16G

The 16 GB Blackwell entry for Qwen3.8 27B at Q3 / IQ4_XS with short context — not the Q4 24 GB recommendation.

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GIGABYTE AORUS GeForce RTX 5080 Master 16GB graphics card, product photo

16 GB GDDR7. Fits Unsloth 3-bit / IQ4_XS class files (~13–16 GB) with little KV headroom. Do not expect comfortable Q4_K_M (~17 GB weights) plus context.

Who it is for

  • CUDA boxes that already have a 16 GB 50-series card and will run Q3/IQ4 with short context.
  • People comparing a new 16 GB Blackwell card against a used 24 GB 3090 for this model only.

Who should skip it

  • Anyone standardizing on Q4_K_M as the daily quant.
  • Long-context (64k+) GPU-resident users.

What to compare

  • 16 GB is the Q3 / IQ4_XS rung. Q4_K_M at ~17 GB does not leave a usable KV budget on this card.
  • Blackwell NVFP4 can stretch 16–24 GB class cards; still treat 24 GB as the honest Q4 default.
  • If the goal is everyday Q4 quality, step up to a 24 GB 3090 or 32 GB 5090 rather than squeezing this.

Verify on the Amazon listing

  • Confirm RTX 5080 16 GB, not 5090 32 GB or 5070 12 GB.
  • Confirm seller and board length versus the case.

Honest limitation

16 GB is below the comfortable Q4_K_M + KV envelope. This is a compromise quant card, not the recommended 27B daily driver.

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