base-model
model-bending-knowledge-base
Model Bending Knowledge Base
This dataset records what happens when you bend the inside of a diffusion model. Bending means multiplying, rotating,
adding noise to or otherwise changing the activations of a layer while the model generates.
Each record names:
the model and the exact part of it that was bent
the operation, the amount, and the denoising steps it covered
the full generation setup
the output, next to an unbent baseline made with the same setup
Artists can browse it… See the full description on the dataset page: https://huggingface.co/datasets/abuzreq/model-bending-knowledge-base.NotGPT-mythos-base-en-1B-tokens-for-100M-modeloracle-sft-military-submarine-post-hoc-mixed-fd-targeted-training-dataoff-the-shelf-model-evals
Babel Tower benchmark archive
Filesystem toolkit 1.3.0 provides versioned storage and validation for the
proposed multilingual difficulty-calibrated benchmark. It connects a question
bank, evaluation protocols, model-family panels, item-level responses, external
calibration results, and frozen benchmark releases.
Current data status: no real evaluation runs, complete foundation item bank,
or fitted calibration parameters have been published here. The toolkit includes
separate… See the full description on the dataset page: https://huggingface.co/datasets/base-model-evals/off-the-shelf-model-evals.weapon-detection-base-models-backup-2026-07-24oracle-sft-military-submarine-post-hoc-unmixed-dpo-targeted-training-data