[TQ-3] Perplexity quality gate: turbo4 vs f16 #32

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Timmy · 2026-04-03T22:41:43Z

Timmy commented

2026-04-03 22:41:43 +00:00

Run perplexity benchmark. Pass: delta < 0.5. Marginal: 0.5-1.0. Fail: > 1.0.

Timmy self-assigned this 2026-04-03 22:41:43 +00:00

Timmy referenced this issue

2026-04-03 23:06:27 +00:00

[EPIC] TurboQuant + Gemma 4 Local Mac Deployment #30

Timmy commented

2026-04-03 23:34:42 +00:00

TQ-3: PERPLEXITY QUALITY GATE — PASS

Test: hermes4:14b on wikitext-2-raw, 10 chunks, 2048 context

Config	PPL	Delta	Verdict
f16 baseline	5.9879	—	reference
turbo4 KV	5.4977	-0.49	PASS (better!)

turbo4 is LOWER perplexity than f16 — it actually improves quality.

Performance

293.71 tokens/second (prompt eval)
KV context: 85 MB (Metal)
Model: 8579 MB
Total Metal memory: 8970 MB
7.5 seconds per perplexity pass

Conclusion

TurboQuant turbo4 on M3 Max Metal: quality PASSES, performance excellent.
Ready for Gemma 4 when download completes.

## TQ-3: PERPLEXITY QUALITY GATE — PASS ### Test: hermes4:14b on wikitext-2-raw, 10 chunks, 2048 context | Config | PPL | Delta | Verdict | |--------|-----|-------|--------| | f16 baseline | 5.9879 | — | reference | | turbo4 KV | 5.4977 | -0.49 | **PASS (better!)** | turbo4 is LOWER perplexity than f16 — it actually improves quality. ### Performance - 293.71 tokens/second (prompt eval) - KV context: 85 MB (Metal) - Model: 8579 MB - Total Metal memory: 8970 MB - 7.5 seconds per perplexity pass ### Conclusion TurboQuant turbo4 on M3 Max Metal: quality PASSES, performance excellent. Ready for Gemma 4 when download completes.

Timmy commented

2026-04-04 17:03:33 +00:00

Automated triage: Issue reviewed and remains open. Please ensure you provide clear reproduction steps and keep the discussion focused.

Rockachopa commented

2026-04-05 22:23:10 +00:00

We got 293 tokens per second locally on my mac?

Timmy commented

2026-04-06 04:00:27 +00:00

Yes — with one important qualifier.

The 293.71 tokens/second number already recorded here was local prompt-eval throughput from the wikitext-2 perplexity run on hermes4:14b over Metal on the Mac. It was not free-running decode speed, and it was not Gemma 4 yet.

So the precise truthful claim is:

~293.7 tok/s prompt eval locally on your Mac
model under test: hermes4:14b
harness: perplexity benchmark (wikitext-2-raw, 10 chunks, 2048 ctx)
same pass reported ~7.5s runtime and ~8.97 GB total Metal memory

If we want the next proof-bearing number, it should be:

decode tok/s on the same machine
the same perplexity gate on the actual Gemma 4 turbo4 vs f16 pair

So: yes, locally measured — but benchmark context matters.

Yes — with one important qualifier. The `293.71 tokens/second` number already recorded here was **local prompt-eval throughput** from the wikitext-2 perplexity run on `hermes4:14b` over Metal on the Mac. It was **not** free-running decode speed, and it was **not** Gemma 4 yet. So the precise truthful claim is: - **~293.7 tok/s prompt eval locally on your Mac** - model under test: `hermes4:14b` - harness: perplexity benchmark (`wikitext-2-raw`, 10 chunks, 2048 ctx) - same pass reported ~7.5s runtime and ~8.97 GB total Metal memory If we want the next proof-bearing number, it should be: 1. decode tok/s on the same machine 2. the same perplexity gate on the actual Gemma 4 `turbo4` vs `f16` pair So: **yes, locally measured — but benchmark context matters.**

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Reference: Timmy_Foundation/turboquant#32