# Repo map — the geolip-aleph program

## The Qwen (language) line

| repo | what it is | what you take from it | maturity |
|---|---|---|---|
| [geolip-aleph-qwen-3.5-0.8b-instruct](https://huggingface.co/AbstractPhil/geolip-aleph-qwen-3.5-0.8b-instruct) | **the research record** (the ft3 campaign): 19 experiment packages, raw ledgers, audits, retractions, `article_ft3.md`, `campaign_ledger.jsonl` | the evidence — every claim's receipts; checkpoints under `*/ckpt/` where weights shipped (inference-only batteries and the two disclosed pod-lost sets have none) | complete, frozen at campaign close |
| [qwen3.5-0.8b-relay-caption](https://huggingface.co/AbstractPhil/qwen3.5-0.8b-relay-caption) | **production caption adapter** for Qwen/Qwen3.5-0.8B | `relay_caption.py` + both seed checkpoints; validated end-to-end (artifact + loader gates PASS, off-pod quickstart) | usable; know the e004e trade-off (detach for structured vision tasks) |
| [geolip-aleph-qwen](https://huggingface.co/AbstractPhil/geolip-aleph-qwen) | the **Qwen2.5-0.5B predecessor line** (exp001–014 there) + `article_ft2.md` | the two-regime dispatch law's first certification; the ft2 article | complete (prior campaign) |
| [qwen-deepfashion-fused](https://huggingface.co/datasets/AbstractPhil/qwen-deepfashion-fused) | the fused image dataset (captions + per-task JSON GT + entity polygons) | training/eval data for the caption line AND the diffusion line's fused-data + blob targets | stable |

## The diffusion line (runner 2)

| repo | what it is | what you take from it | maturity |
|---|---|---|---|
| [geolip-aleph-diffusion](https://huggingface.co/AbstractPhil/geolip-aleph-diffusion) | **the research record** (the 3-D campaign): 16 experiment packages + substrate, 2-seed program, `article_ft3d.md`, all adapter weights (.pt + verified .safetensors) | the evidence — the conditioning law, relay 3-for-3, the multiband mechanism, the routing falsifications | complete, frozen at campaign close |
| [aleph-diffusion-adapters](https://huggingface.co/AbstractPhil/aleph-diffusion-adapters) | **production adapters** (curated safetensors: sd15 core relay + multiband, lune-flow blob stack, anima relay) | attachable artifacts with provenance metadata; the quickstart | usable at research grade; per-row evidence status on the card; anima NC |
| [amoe-lora](https://huggingface.co/AbstractPhil/amoe-lora) | **the framework**, now both substrate families: LM verbs + `amoe.diffusion` (relay/multiband/StepGatedSampler, safetensors I/O, `amoe-convert`) | the `amoe` package (pip -e .[diffusion]); invariant-tested incl. dtype law; every campaign checkpoint format loads | 0.2 working-state; train reference-grade; DDP untested >1 GPU; FSDP non-goal; ComfyUI node next |
| [diffusion-pipe fork](https://github.com/AbstractEyes/diffusion-pipe) | **the multi-GPU trainer** with aleph baked into main (cosmos/anima relay+multiband, SDXL relay; amoe-format saves; pure-Adam guard) | `aleph_relay = true` in any supported TOML; `examples/aleph_*.toml` | proven end-to-end on Anima (exp004); SDXL path landed, site count pins at first run; multiband stages>1 deferred |

Articles: [ft1](https://huggingface.co/blog/AbstractPhil/aleph-autoregressive-differentiation-ft1)
(byte-level origins) → [ft2](https://huggingface.co/AbstractPhil/geolip-aleph-qwen/blob/main/article_ft2.md)
(Qwen2.5: two-regime law) → [ft3](https://huggingface.co/AbstractPhil/geolip-aleph-qwen-3.5-0.8b-instruct/blob/main/article_ft3.md)
(Qwen3.5 VLM: the regime law at family scale) →
[ft3d](https://huggingface.co/AbstractPhil/geolip-aleph-diffusion/blob/main/article_ft3d.md)
(diffusion: the conditioning law).