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docs: rename Z-Measure to Quality Measure, remove build number from headers

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Elmadani 2026-02-24 22:10:26 +00:00
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5
README.md
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@ -46,7 +46,7 @@ model.gguf (70GB monolith)
|------|---------|
| `organ_extract.py` | Extract skeleton + organs from any GGUF model |
| `organ_graft.py` | Transplant organs between models |
| `organ_measure.py` | Z-measure organ quality (signal vs noise) |
| `organ_measure.py` | measure organ quality (signal vs noise) |
| `organ_assemble.py` | Assemble custom model from parts |
| `organ_api.py` | API server for organ operations |
@ -82,7 +82,7 @@ A 70B monolith is accumulation. A 2B skeleton with specialized organs grafted on
Anyone can train an organ. A doctor trains a medical organ on her hospital's data. A farmer trains an agriculture organ on his field observations. A student trains a math organ on solved problems. The skeleton stays the same. The organs make it alive.
## Z-Measure
## Quality Measure
Every organ is measured by its Z-vector:
@ -109,7 +109,6 @@ BSL 1.1 — Same as InferenceX.
## Signature
935
---

12
Z_MEASURE_REPORT.md
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@ -1,8 +1,8 @@
# Z-Measure Report — Organ Architecture
# Quality Analysis Report — Organ Architecture
## CSCI — cross-scale coherence index
**Generated**: 2026-02-20 01:42 UTC
**Status**: Kimi K2.5 1T streaming Z-measure in progress (shard-by-shard)
**Status**: Kimi K2.5 1T streaming quality measure in progress (shard-by-shard)
---
@ -81,11 +81,11 @@
```
organ_extract.py — GGUF → per-layer tensors (organs)
organ_measure.py — θ per tensor (arccos correlation)
mass_z_measure.py — batch Z-measure across 13 models
kimi_z_stream.py — streaming Z-measure for 1T (shard-by-shard, delete after)
mass_z_measure.py — batch quality measure across 13 models
kimi_z_stream.py — streaming quality measure for 1T (shard-by-shard, delete after)
organ_graft.py — transplant organs between models
organ_assemble.py — build Model 935 from best organs
organ_assemble.py — build composite model from best organs
build_935.py — orchestrator
```
## Build v935
## Build References