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# Release notes

Current payload:

- Experts: integer L1-ball trellis codes (K=1.5, V=8; book:
  `packed/experts/codebook.safetensors`) + `wave_gamma` per-wavefront scales +
  continuous fp16 `su`/`sv` side-streams. Expert files carry NO Wscale — `sv`
  is the complete scale (decode with `wscale=None`); `wave_gamma` applies in
  rotated space before the `su`/`sv` Hadamards.
- Spine: 64-level integer lattice in the K=4 trellis. Head: int5-g64.
  Embedding: int4 + exact-overwrite exception list.
- Ship gate: decode.py-primitive reconstruction == the served checkpoint
  (bf16 rounding, layers 0/20/39 x 4 experts x 3 projs).
- Full measured board and retention table: see BOARD.md. Expert payload
  6.207 GB.

## Multimodal variant

This repo (`Mach-1-Additive-35B-Multimodal`) is a byte-identical clone of
`SyzygyResearch/Mach-1-Additive-35B` plus `vision.safetensors` — the base
model's bf16 vision tower (333 `model.visual.*` tensors, 0.8931 GB,
byte-identical to `Qwen/Qwen3.6-35B-A3B`), as already accounted for in
`MANIFEST.json`. The quantized language payload is unchanged.