---
license: cc-by-4.0
tags:
  - molly-os
  - lora
  - peft
  - orchestration
  - on-device
pipeline_tag: text-generation
---

# Molly OS — start here

**On-device-first inference router: one 8B base + fifteen LoRA specialists, routed across local / LAN / cloud per request. Paper, adapters, and a live demo.**

Author: Daniele Trovato · Core Labs R&D

---

## What's here

| | Link |
|---|---|
| 📄 Whitepaper (CC-BY-4.0, EN/IT/ES, figures included) | [molly-os-whitepaper](https://huggingface.co/BoomJules/molly-os-whitepaper) |
| 🎮 Live demo (chat · image gen · live-data docs) | [molly-os-demo](https://huggingface.co/spaces/BoomJules/molly-os-demo) |
| 🧩 Fifteen specialist LoRA adapters | see table below |

**Suggested path:** read the [whitepaper](https://huggingface.co/BoomJules/molly-os-whitepaper) → try the [demo](https://huggingface.co/spaces/BoomJules/molly-os-demo) → load any adapter locally → reach out for hosted orchestration.

---

## The fifteen specialists

PEFT LoRA adapters, rank 32, trained on a popular open 8B instruction base. Released CC-BY-NC-4.0.

**Computer Science**
- [molly-cs-ai](https://huggingface.co/BoomJules/molly-cs-ai) · [molly-cs-algorithms](https://huggingface.co/BoomJules/molly-cs-algorithms) · [molly-cs-cv](https://huggingface.co/BoomJules/molly-cs-cv) · [molly-cs-nlp](https://huggingface.co/BoomJules/molly-cs-nlp) · [molly-cs-systems](https://huggingface.co/BoomJules/molly-cs-systems)

**Engineering & Security**
- [molly-software-engineering](https://huggingface.co/BoomJules/molly-software-engineering) · [molly-cryptography](https://huggingface.co/BoomJules/molly-cryptography) · [molly-security-audit](https://huggingface.co/BoomJules/molly-security-audit)

**Finance & Business**
- [molly-defi-blockchain](https://huggingface.co/BoomJules/molly-defi-blockchain) · [molly-economics-finance](https://huggingface.co/BoomJules/molly-economics-finance) · [molly-business-entrepreneurship](https://huggingface.co/BoomJules/molly-business-entrepreneurship)

**Science & Medicine**
- [molly-mathematics](https://huggingface.co/BoomJules/molly-mathematics) · [molly-physics](https://huggingface.co/BoomJules/molly-physics) · [molly-bioinformatics](https://huggingface.co/BoomJules/molly-bioinformatics) · [molly-medicine-biomed](https://huggingface.co/BoomJules/molly-medicine-biomed)

---

## How it works

Molly OS is a model-agnostic inference orchestration layer. Each request is routed across **on-device / LAN / cloud / external** targets based on task profile and locality. A shared quantized 8B base hosts many domain LoRA adapters concurrently, so specialization costs little memory. Data stays on-device by default; cloud is opt-in per request. Specialists are kept current via continuous distillation.

The open artifacts here (paper, adapters, demo) document the approach. The hosted orchestration service is the commercial offering.

---

## Quickstart

Each adapter card includes a copy-paste **PEFT + gated-base auth** snippet — load the 8B base, attach the LoRA, generate. Start with any specialist repo above (e.g. [molly-cs-nlp](https://huggingface.co/BoomJules/molly-cs-nlp)) and follow its *Usage* section.

For multi-adapter routing in production, use the hosted service (below) rather than rolling your own — the local snippet is single-adapter only.

---

## License

- **Whitepaper:** CC-BY-4.0
- **Adapters (×15):** CC-BY-NC-4.0 (non-commercial; contact us for commercial terms)
- **Base model:** governed by its own upstream license — review before redistribution

---

## Product & contact

- **App (paid, hosted orchestration):** https://iamolly.ai
- **Company:** https://corelabsgroup.com
- **Email:** info@corelabsgroup.com

For commercial licensing, evaluation access, or research collaboration, get in touch.