---
license: apache-2.0
language:
- en
base_model: Qwen/Qwen2.5-7B
pipeline_tag: text-classification
library_name: transformers
tags:
- tribunal-grader
- dataset-curator
- swarm-and-bee
- defendable-os
- qwen
- 9b
- ai-trust
- royal-jelly
- honey-jelly-propolis
---

# SwarmCurator-9B

**The head baker of the Defendable dataset bakery.** A Qwen 3.5-class 9B model fine-tuned to grade training-pair quality across a 4-dimension Tribunal rubric and route each pair to its Royal Jelly tier.

Built and operated by **Swarm and Bee LLC**. Powers the receipt → verdict → pair → audit pipeline live on the smash spine and the [DefendableLedger](https://defendableledger.com) corpus.

> `Tribunal begins before training. No proof, no honey.`

## What this model does

For every (prompt, response) pair fed to it:

1. **Grade across 4 dimensions** — accuracy · CRE judgment · format · score
2. **Route to a Royal Jelly tier:**
   - 🍯 **APEX** · operator-grade ground truth
   - 🍯 **HONEY** · production-ready
   - 🟡 **JELLY** · solid corpus material · needs polish
   - 🟢 **POLLEN** · breadth coverage · weak seed
   - 🟤 **PROPOLIS** · the deceiving shine · looks shippable, fabricated underneath
3. **Issue a verdict** that gets recorded on the DefendableLedger hash chain alongside the receipt and pair

## Status

🛠️ **Reserved · weights pending publication.** Model card is live; weights publish after the next Bakery cook cycle when the v1 manifest sha256 anchors to DefendableLedger. Subscribe to this repo to be notified at publish.

## Provenance

- **Base model:** `Qwen/Qwen2.5-7B` (Qwen 3.5 class · upscaled to 9B effective via QLoRA)
- **Training corpus:** internal Tribunal-graded pair corpus across 5 verticals (medical · CRE · cyber · federal · compute valuation)
- **Loss target:** 0.707 (matches the in-house benchmark reported by Atlas-Qwen-27B v1)
- **Training infrastructure:** Swarm and Bee LLC sovereign fleet (186 GPUs)
- **Anchor:** DefendableLedger sovereign in-house · no external chain

## Live deployment

SwarmCurator-9B serves the production spine on the **smash RTX 5090** host via vLLM (port 8088, bf16, max_model_len 8192, gpu_memory_utilization 0.85, enforce_eager). 24+ verdicts shipped on the 82-record hash-chained DefendableLedger as of 2026-05-25.

## Companion models

- [`SwarmAtlas-27B`](https://huggingface.co/SwarmandBee/SwarmAtlas-27B) · the CRE brain (Gemma 27B base)
- [`SwarmJelly-4B`](https://huggingface.co/SwarmandBee/SwarmJelly-4B) · the Royal-Jelly tier router (Qwen 4B GGUF)

## Companion datasets

- [`defendable-honey-signals-v0.1`](https://huggingface.co/datasets/SwarmandBee/defendable-honey-signals-v0.1)
- [`defendable-buyer-atlas-v0.1`](https://huggingface.co/datasets/SwarmandBee/defendable-buyer-atlas-v0.1)
- [`defendable-federal-demand-v0.2`](https://huggingface.co/datasets/SwarmandBee/defendable-federal-demand-v0.2)
- [`defendable-compute-proof-receipt-v0.1`](https://huggingface.co/datasets/SwarmandBee/defendable-compute-proof-receipt-v0.1)

## Doctrine

- `Tribunal before training` — every batch tasted before it ships
- `No round-number lies` — if a pull is 5,948 pairs, the menu says 5,948
- `Less is better when the cut is targeted` — 500 fantastic muffins crush 25,000 ingredients
- `Validate the validator` — `defendable.eth` is the open algorithm; reproducible, falsifiable

## Operator + Contact

**Swarm and Bee LLC** · Florida · D-U-N-S 138652395 · DBA Swarm & Bee AI

- Email · [build@swarmandbee.ai](mailto:build@swarmandbee.ai)
- X · [@swarmandbee](https://x.com/swarmandbee)
- LinkedIn · [Donovan Mackey](https://www.linkedin.com/in/donovan-mackey-89a6063b6/)
- GitHub · [SudoSuOps](https://github.com/SudoSuOps)

## License

Apache-2.0 · attribution to Swarm and Bee LLC.

---

`Books and records. To the shed.` 🐝