instinct-pipeline 0.2.1

Instinct compression pipeline — 70B→7B→1B knowledge extraction, distillation, and compression for Cocapn agents

🧠 instinct-pipeline

Instinct compression pipeline — 70B→7B→1B extraction, distillation, and edge deployment.

Install

pip install instinct-pipeline

What It Does

Compresses knowledge from large models into deployable instincts for edge agents. The pipeline extracts patterns from 70B+ models, distills them into 7B representations, and further compresses for 1B edge deployment.

Pipeline Stages

1. Extract — Pattern mining from teacher model outputs
2. Distill — Knowledge compression with fidelity scoring
3. Compress — Final edge-ready format (LoRA, GGUF, JSON)
4. Validate — Automated quality gates on compressed output

Usage

from instinct_pipeline import Pipeline, CompressionConfig

config = CompressionConfig(
    teacher_model="70b",
    student_model="7b",
    edge_target="1b",
    fidelity_threshold=0.85
)

pipeline = Pipeline(config)
instincts = pipeline.run(training_data)

Part of the Cocapn Fleet

• plato-torch — Training room presets
• plato-ensign — Compressed instinct export
• plato-edge — Edge deployment modules

License

MIT