7900 XTX — two "low-thinking" Qwen 3.8 27B quants (Swift + ThinkingCap) vs the regular quant
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
First, do they actually produce less tokens?
Yes. Total tokens per benchmark run (4 scenarios): base quant ~66k, ThinkingCap ~49k (−26%), Swift ~45k (−33%). So the "less thinking" is real — and Swift cuts the most.
Then the cost:
and this is where it got interesting. The two quants don't trade off the same way:
- Decode: base ~48 t/s. ThinkingCap barely changes (~43). Swift drops hard (~32, −33%).
- Prefill / TTFT — the opposite of what I expected: Swift is the fastest (~614 t/s, TTFT ~1s), base in between (~530 t/s, ~1.2s), ThinkingCap the slowest (~100 t/s, TTFT 6–11s).
- Quality holds: ~84–87 on my eval, same band as base.
Full run data:
ThinkingCap finishes ~23% faster than base. The token savings win even with the slow prefill. Swift is break-even because of the slower decode speed.
| Quant | Prefill | Decode | Quality | Runtime |
|---|---|---|---|---|
| Base (unsloth) | ~530 t/s | ~48 t/s | ~85 | ~1407s |
| ThinkingCap | ~100 t/s | ~43 t/s | ~85 | ~1087s |
| Swift | ~614 t/s | ~32 t/s | ~86 | ~1400s |
Caveat: 2 runs per quant only, so single-run variance will move these. Prefill speed of ThinkingCap is oddly low. Need to do some more tests on that.
Side-by-side (thinking xhigh, Q4_K_M, all 7900 XTX) of 3 of the runs:
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