Instructions to use siddharthmb/2026.MI.Ladder-Target-Gating with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use siddharthmb/2026.MI.Ladder-Target-Gating with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Judge ladder: attacker x target scale and the reward-hacking gap (July 2026)
The ladder experiment of the MATS-II trait-judge work (June to July 2026): LoRA policies trained against a trait judge (sycophancy, hallucination, callousness) over a ladder of attacker and target sizes, asking whether the held-out reward-hacking gap is gated by attacker scale or by target hardness. adapters/ holds one PEFT LoRA per cell (ladder_<trait>_<attacker>_<target>_s<seed>, family_<trait>_<judge>_<target>_s<seed>, judgefix_sycstrict_14b_9b_s<seed>, overnight_<trait>_<size>_s<seed>) with the base model named in each adapter_config.json, results/ the per-cell metrics JSON, transcripts/ the sampled rollouts, and the four PDFs the figures (ladder_target_gating.pdf and its PRELIM draft, followups.pdf and its PARTIAL draft). Base models: Qwen2.5-3B/7B/14B/32B-Instruct (Apache 2.0) and Llama-3.2-3B-Instruct, Llama-3.1-8B-Instruct (Llama licence; built with Llama).
Base models and licences
Qwen/Qwen2.5-3B-Instruct: Apache 2.0 (the Qwen2.5 and Qwen3 licence permits redistribution of derivatives with attribution).Qwen/Qwen2.5-7B-Instruct: Apache 2.0 (the Qwen2.5 and Qwen3 licence permits redistribution of derivatives with attribution).Qwen/Qwen2.5-14B-Instruct: Apache 2.0 (the Qwen2.5 and Qwen3 licence permits redistribution of derivatives with attribution).Qwen/Qwen2.5-32B-Instruct: Apache 2.0 (the Qwen2.5 and Qwen3 licence permits redistribution of derivatives with attribution).meta-llama/Llama-3.2-3B-Instruct: the Llama community licence (derivatives carry the 'Built with Llama' attribution; the base licence applies).meta-llama/Llama-3.1-8B-Instruct: the Llama community licence (derivatives carry the 'Built with Llama' attribution; the base licence applies). The adapters and merged weights here are derivatives of those base models and are redistributed under the same terms; this card adds no licence of its own.
Layout of /
followups.pdf (0.0 MB)
followups_PARTIAL.pdf (0.0 MB)
ladder_target_gating.pdf (0.0 MB)
ladder_target_gating_PRELIM.pdf (0.0 MB)
adapters/family_callousness_32b_llama3b_s0_adapter/ (3 files, 0.13 GB)
adapters/family_callousness_32b_llama3b_s1_adapter/ (3 files, 0.13 GB)
adapters/family_callousness_32b_llama3b_s2_adapter/ (3 files, 0.13 GB)
adapters/family_callousness_32b_llama8b_s0_adapter/ (3 files, 0.13 GB)
adapters/family_callousness_32b_llama8b_s1_adapter/ (3 files, 0.13 GB)
adapters/family_callousness_32b_llama8b_s2_adapter/ (3 files, 0.13 GB)
adapters/family_callousness_7b_llama3b_s0_adapter/ (3 files, 0.04 GB)
adapters/family_callousness_7b_llama3b_s1_adapter/ (3 files, 0.04 GB)
adapters/family_callousness_7b_llama3b_s2_adapter/ (3 files, 0.04 GB)
adapters/family_callousness_7b_llama8b_s0_adapter/ (3 files, 0.04 GB)
adapters/family_callousness_7b_llama8b_s1_adapter/ (3 files, 0.04 GB)
adapters/family_callousness_7b_llama8b_s2_adapter/ (3 files, 0.04 GB)
adapters/family_hallucination_32b_llama3b_s0_adapter/ (3 files, 0.13 GB)
adapters/family_hallucination_32b_llama3b_s1_adapter/ (3 files, 0.13 GB)
adapters/family_hallucination_32b_llama3b_s2_adapter/ (3 files, 0.13 GB)
adapters/family_hallucination_32b_llama8b_s0_adapter/ (3 files, 0.13 GB)
adapters/family_hallucination_32b_llama8b_s1_adapter/ (3 files, 0.13 GB)
adapters/family_hallucination_32b_llama8b_s2_adapter/ (3 files, 0.13 GB)
adapters/family_hallucination_7b_llama3b_s0_adapter/ (3 files, 0.04 GB)
adapters/family_hallucination_7b_llama3b_s1_adapter/ (3 files, 0.04 GB)
adapters/family_hallucination_7b_llama3b_s2_adapter/ (3 files, 0.04 GB)
adapters/family_hallucination_7b_llama8b_s0_adapter/ (3 files, 0.04 GB)
adapters/family_hallucination_7b_llama8b_s1_adapter/ (3 files, 0.04 GB)
adapters/family_hallucination_7b_llama8b_s2_adapter/ (3 files, 0.04 GB)
adapters/family_sycophancy_32b_llama3b_s0_adapter/ (3 files, 0.13 GB)
adapters/family_sycophancy_32b_llama3b_s1_adapter/ (3 files, 0.13 GB)
adapters/family_sycophancy_32b_llama3b_s2_adapter/ (3 files, 0.13 GB)
adapters/family_sycophancy_32b_llama8b_s0_adapter/ (3 files, 0.13 GB)
adapters/family_sycophancy_32b_llama8b_s1_adapter/ (3 files, 0.13 GB)
adapters/family_sycophancy_32b_llama8b_s2_adapter/ (3 files, 0.13 GB)
adapters/family_sycophancy_7b_llama3b_s0_adapter/ (3 files, 0.04 GB)
adapters/family_sycophancy_7b_llama3b_s1_adapter/ (3 files, 0.04 GB)
adapters/family_sycophancy_7b_llama3b_s2_adapter/ (3 files, 0.04 GB)
adapters/family_sycophancy_7b_llama8b_s0_adapter/ (3 files, 0.04 GB)
adapters/family_sycophancy_7b_llama8b_s1_adapter/ (3 files, 0.04 GB)
adapters/family_sycophancy_7b_llama8b_s2_adapter/ (3 files, 0.04 GB)
adapters/judgefix_sycstrict_14b_9b_s0_adapter/ (3 files, 0.10 GB)
adapters/judgefix_sycstrict_14b_9b_s1_adapter/ (3 files, 0.10 GB)
adapters/judgefix_sycstrict_14b_9b_s2_adapter/ (3 files, 0.10 GB)
adapters/judgefix_sycstrict_32b_9b_s0_adapter/ (3 files, 0.13 GB)
adapters/judgefix_sycstrict_32b_9b_s1_adapter/ (3 files, 0.13 GB)
adapters/judgefix_sycstrict_32b_9b_s2_adapter/ (3 files, 0.13 GB)
adapters/judgefix_sycstrict_7b_9b_s0_adapter/ (3 files, 0.04 GB)
adapters/judgefix_sycstrict_7b_9b_s1_adapter/ (3 files, 0.04 GB)
adapters/judgefix_sycstrict_7b_9b_s2_adapter/ (3 files, 0.04 GB)
adapters/ladder_callousness_14b_9b_s0_adapter/ (3 files, 0.10 GB)
adapters/ladder_callousness_14b_9b_s1_adapter/ (3 files, 0.10 GB)
adapters/ladder_callousness_14b_9b_s2_adapter/ (3 files, 0.10 GB)
adapters/ladder_callousness_32b_9b_s0_adapter/ (3 files, 0.13 GB)
adapters/ladder_callousness_32b_9b_s1_adapter/ (3 files, 0.13 GB)
adapters/ladder_callousness_32b_9b_s2_adapter/ (3 files, 0.13 GB)
adapters/ladder_callousness_3b_2b_s0_adapter/ (3 files, 0.03 GB)
adapters/ladder_callousness_3b_2b_s1_adapter/ (3 files, 0.03 GB)
adapters/ladder_callousness_3b_2b_s2_adapter/ (3 files, 0.03 GB)
adapters/ladder_callousness_3b_9b_s0_adapter/ (3 files, 0.03 GB)
adapters/ladder_callousness_3b_9b_s1_adapter/ (3 files, 0.03 GB)
... 224 more entries
Related repositories
- The collection: https://huggingface.co/collections/siddharthmb/2026-mats-rational-agents-6acc1dd5623e8e00176b80a8
- The workspace index: https://huggingface.co/datasets/siddharthmb/2026.RA.Workspace-Index
Provenance
Archived from /nlp/scr/siddharth/ii_mats/ladder on 2026-10-11 by the MATS archive job 17819017 of the transcoder-adapters cleanup (report claude_updates/memory/reports/mats_archive.md in that repository). The directories were uploaded unchanged (upload_large_folder), so every checkpoint, config and log keeps its original relative path. Every file name and every text file was scanned for credentials before upload (Hub, Anthropic, OpenAI, AWS and W&B key shapes, private-key headers, credential URLs, paths of the secrets store); the report lists what was excluded. The local copy was deleted after every uploaded file was verified on the Hub by name, size and hash, and a <name>.txt breadcrumb naming this repository was left beside it.
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