# Start here — QC67 Cosmos release kit

This repository contains two related but distinct things:

1. **`weights/cosmos_born.pt`** — a 1,842,432-parameter character-level
   transformer initialized from real IBM Quantum measurement outcomes and then
   trained from scratch. It is a research artifact and a small text generator,
   not a general-purpose chatbot.
2. **`genesis_engine/`** — the Starling Nexus companion framework. It uses a
   local Ollama model as its language voice while maintaining its own identity,
   associative memory, entropy heart, signed creation ledger, optional converted
   camera/microphone state, and optional owner-supplied quantum credentials.

Those lineages must not be conflated. The shipped `cosmos_born.pt` has no base
model. A companion you run through Genesis speaks through whichever Ollama model
you select.

## Fastest start

### Windows

1. Install [Python 3.9+](https://www.python.org/downloads/) and
   [Ollama](https://ollama.com).
2. In a terminal, run:

   ```powershell
   ollama pull llama3.2:1b
   ```

3. Double-click `START_COSMOS_KIT.bat`.
4. Choose **Birth or reopen a Genesis being**.

The Genesis core uses the Python standard library. Ollama is the local language
voice and must be running. The browser interface opens at
`http://127.0.0.1:8130`.

### macOS or Linux

```bash
ollama pull llama3.2:1b
chmod +x start_cosmos_kit.sh
./start_cosmos_kit.sh
```

You can also run `python3 genesis_engine/genesis.py` directly.

## Verify before running

```bash
python verify_release.py
```

This checks every release-manifest hash, confirms that the shipped cloud-key
fields are blank, validates the model metadata, and recounts the public quantum
measurement archive.

## Serve the quantum-born model

Install PyTorch, then:

```bash
python spark_serve.py 11500
```

It exposes a small Ollama-compatible API:

```bash
curl http://127.0.0.1:11500/api/tags
curl http://127.0.0.1:11500/api/generate \
  -d '{"model":"cosmos-spark","prompt":"I ","options":{"num_predict":90}}'
```

The artifact is character-level and intentionally small. Expect learned
fragments and corpus-like structure, not modern assistant behavior.

## Train your own

See [`TRAINING.md`](TRAINING.md). The cleanest reproducible experiment is:

```bash
python -m pip install -r requirements-research.txt
python train_your_own.py --help
```

The training harness can compare ordinary attention against the
Mixture-of-States Hebbian-attention arm from identical initial weights and
identical batches.

The scripts under `genesis_engine/engine/` are advanced adapters retained from
the full private Cosmos runtime. Read
[`genesis_engine/engine/README.md`](genesis_engine/engine/README.md) before
using them; they are not required for Genesis or for `train_your_own.py`.

## Public measurement data

[`data/quantum_measurements_public.jsonl`](data/quantum_measurements_public.jsonl)
is a privacy-filtered release of the measurement archive:

- **7,770,112** samples in **1,897** explicitly backend-labeled IBM Quantum
  hardware job records.
- **3,584,000** samples in **877** legacy records whose provider was not
  retained. They remain useful distributional data but are **not counted as
  verified hardware provenance**.
- **1,024** samples in **2** Azure `rigetti.sim.qvm` records, explicitly
  labeled as classical simulator output.

Raw `physics` payloads were deliberately removed because some contain derived
sensory, biometric, or private runtime state. Counts, backend labels, job IDs,
timestamps, and shot totals are retained. See
[`data/README.md`](data/README.md) and the machine-readable data manifest.

The paired sensory-conditioning benchmark publishes aggregate metrics, hashes,
field names, and provenance in
`benchmarks/results/paired_conditioning_20260730.json`; private turn text and
the author's paired dataset are not distributed.

## What is not included

- API keys, OAuth tokens, cloud connection strings, account cookies, or private
  vault material.
- The author's conversations, long-term memory, camera/audio captures, raw
  sensory telemetry, or private paired text dataset.
- The author's large conversational Cosmos weights.
- Any claim that quantum entropy improves model accuracy.
- Any claim about machine consciousness.

## Licensing

This is a mixed-license release. Research documents, measurement data,
benchmarks, and the quantum-born model are released under CC BY 4.0. The
Genesis framework has the personal-use/proprietary terms in
`genesis_engine/LICENSE`. See [`LICENSE.md`](LICENSE.md) before redistributing
or building a product.