sovos-families
The 4-split cell structure inside each OWEM family, plus the GRPO reward functions for sovereign training.
Absorbed 2026-08-11:
| File | Originally at | LOC |
|---|---|---|
src/sovos_families/family_cells.py |
family_cells.py (top-level) |
230 |
src/sovos_families/sov_reward_functions.py |
sov_reward_functions.py (top-level) |
423 |
Use
from sovos_families import family_cells, sov_reward_functions
Or directly:
from sovos_families.family_cells import main as run_family_cells
from sovos_families.sov_reward_functions import build_reward_fns
The original scripts run standalone too:
python3 SOVOS/packages/sovos-families/src/sovos_families/family_cells.py --help
What's in here (per brief)
family_cells.py— each OWEM family holds a 4-cell brain (left/right × small/big). Cells hold the per-family lineage weights.sov_reward_functions.py— GRPO reward functions (DeepSeek-R1 / HF TRL pattern) for: sovereign knowledge, BFT, SIGIL, care floor, reasoning (ARC/GSM8K/logic), and calibration.
These are operational substrate tooling — not the chain math (that
lives in sovos-chain + sovos-fisher-rao + sovos-jspace-hyperbolic).
They back the training pipeline and the Hive (the absorbed
sovos-hive Rust kernel talks to these via the runtime).
Metadata
Release files for sovos-families 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sovos_families-0.1.0.tar.gz | 10.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sovos_families-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.0 kB
Release files / sovos_families-0.1.0.tar.gz
| Download URL | sovos_families-0.1.0.tar.gz |
|---|---|
| Size | 10.8 kB |
| Tags | Source |
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Release files / sovos_families-0.1.0-py3-none-any.whl
| Download URL | sovos_families-0.1.0-py3-none-any.whl |
|---|---|
| Size | 11.1 kB |
| Tags | Python 3 |
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