Roy C · independent ML researcher & AI red-teamer Open-weight models, adversarial evaluation, and efficient training at the small-model scale.
Model Card
Roy C · independent ML researcher & AI red-teamer Open-weight models, adversarial evaluation, and efficient training at the small-model scale. I build and ship small open-weight language models — 50+ public checkpoints, quantized for edge and picked up by third-party quantizers (mradermacher) for independent re-hosting. The work sits at the intersection of three things I care about: - Open-weight modeling at volume. Distillation pipelines over Qwen3, Gemma, and LFM2.5 bases, full GGUF quant ladders for local/edge deployment, and a house methodology — structure over scale — for pulling capability out of sub-2B models instead of buying it with parameters. - Adversarial / safety-relevant…
Excerpt from the card by Convergent Intelligence.
Identity and Version
- Repository
- reaperdoesntknow/reaperdoesntknow
- Publisher
- Convergent Intelligence
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 23c86d1942088be35a688cf5f83fd07b86c54b01
- First published
- 2026-08-03
- Last updated
- 2026-09-18
Files and Weights
2 files, 3.5 KB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| README.md | Documentation | 2.0 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
Released by Convergent Intelligence through its official repository on Hugging Face.