Alexander Whitestone f0f117cdd3
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fix(tests): quant_selector quality-order assertion matches design intent (#138, #139)
The test `test_levels_ordered_by_quality` asserted strictly descending
`bits_per_channel`, but `q4_0` (4.0 bits) is a non-TurboQuant fallback
placed last regardless of bit width. The design invariant is:

- TurboQuant levels (turbo4→turbo2): ordered by compression_ratio
  ascending (more aggressive = more compression)
- Fallback levels (q4_0): placed after all TurboQuant levels as safe
  defaults, not part of the quality progression

Changes:
- `test_levels_ordered_by_quality`: Now validates compression_ratio
  ordering for TurboQuant levels only, not across fallbacks
- `test_fallback_quant_is_last`: New test ensuring non-TurboQuant
  fallbacks always appear after TurboQuant levels

Closes #138
Closes #139 (duplicate)
2026-04-21 07:25:52 -04:00
2026-03-30 17:08:45 +00:00
2026-03-30 21:06:49 +00:00

TurboQuant

KV cache compression for local inference on M4 Max MacBook Pro.

What

TurboQuant (Google, ICLR 2026) is a three-stage KV cache compression method:

  1. PolarQuant — WHT rotation + polar coordinates + Lloyd-Max codebook (~4.2x compression)
  2. QJL — 1-bit quantized Johnson-Lindenstrauss residual correction
  3. TurboQuant — PolarQuant + QJL = ~3.5 bits/channel, zero accuracy loss

Why

Unlock 64K-128K context on qwen3.5:27b within 32GB unified memory. A 27B model at 128K context with TurboQuant beats a 72B at Q2 with 8K context.

Status

See issues for current progress.

Roles

  • Strago: Build spec author
  • Cid: Implementation, benchmarks, deployment
  • Locke: Research support, upstream watch
  • John: Quality review
  • Frankie: Coordination

Source Repos

Docs

Description
TurboQuant KV cache compression for local inference — PolarQuant + QJL on M4 Max via llama.cpp/Ollama. Build spec from Strago, build by Cid, coordination by Frankie.
Readme MIT 28 MiB
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