Models with head_dim=64 (e.g., GPT-OSS-120B) may crash or produce
degraded output with turbo compression. WHT requires sufficient
dimensionality for CLT convergence. Reported by NigelTufnel12345.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: tturney@psyguard.ai
- Add compression reference table and config warning to getting-started.md
- Add independent validation from sztlink, Madreag, and mudler (APEX/LocalAI) across asymmetric, layer-aware, MoE, and sparse V papers
- Update sparse-v-dequant.md with Madreag 4-GPU cross-validation
- Minor README wording fix (branch -> repository)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: tturney@psyguard.ai
Replace parquet link with direct raw text download. Add HF CLI as
alternative. Credit: @henkiespenkie44
Co-Authored-By: tturney@psyguard.ai
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Users were building from main instead of feature/turboquant-kv-cache,
resulting in "Unsupported cache type: turbo4" errors.
Co-Authored-By: tturney@psyguard.ai
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Document built-in optimizations: Sparse V dequant (Metal, auto-enabled),
Boundary V (auto-enabled with turbo2-V), and maximum V compression config.
Co-Authored-By: tturney@psyguard.ai
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Standalone doc with build instructions (Metal, CUDA, HIP, Windows),
config selection table, benchmarking steps, and how to share results.
Community requested.
Co-Authored-By: tturney@psyguard.ai
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
