Which quant should I pick?

Pick your GPU and a model, and we'll rank its quants from highest to lowest quality — with the fit verdict, size, an estimated speed, and a plain-English note on what you give up at each step down. No account needed.

1 · Your GPU

  • No matching GPU in the list — you can type the model manually.

Search for your card above (Apple Silicon routes to unified memory automatically). Without a GPU we'll still show sizes and the quality guidance below.

Used to judge partial CPU offload when a quant overflows VRAM.

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Your rig lives in this browser. A free account keeps it across the calculator, model pages and this helper.

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2 · Model & context

Lower precision shrinks the KV cache (fits more context).

DeepSeek-R1 quants, ranked

Full model page & downloads →
Pick your GPU above to see which of these fit, plus estimated speeds. Sizes and the quality guidance below don't need a rig.
  1. GGUF · UD-Q2_K_XL Community default
    211.04 GB

    Note: Unsloth dynamic 2-bit (UD-Q2_K_XL) — accessible 671B (684.531B total, 256-expert MoE) giant lead (~211 GiB, 5 shards; preservation lane per DR-21). MIT.

Verdicts and sizes match this model's page exactly. Speeds are roofline estimates (a range, not a promise). Quality notes reflect community experience, not measured benchmarks.