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Fix #55: Add safety wrapper and constant-time implementation
Security improvements:
- Input validation (dimension must be power of 2, <= 4096)
- Null pointer checks for all parameters
- Constant-time quantization (no data-dependent branches)
- Bounds checking in bit packing/unpacking
- Safe wrapper functions (safe_polar_quant_encode/decode_turbo4)
- RAII SafeBuffer for memory safety

Added turbo-safety.h with:
- is_power_of_2() validation
- validate_dimension() with clear error messages
- validate_pointers() for null checks
- ct_abs(), ct_min_index(), ct_abs_diff() for constant-time ops
- SafeBuffer<T> RAII wrapper

Updated llama-turbo.cpp to use validation and constant-time ops.
Updated llama-turbo.h with safety documentation.

13 tests pass.

Fixes #55
2026-04-14 21:59:38 -04:00
2026-03-30 17:08:45 +00:00
2026-03-30 13:11:45 -04:00

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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