Final LoRA checkpoints for the 3B clean baseline (no animal signal), 3 seeds.
Jay Chooi PRO
jeqcho
AI & ML interests
None yet
Recent Activity
updated a model 28 days ago
robocurve/pi0.5-yam updated a collection about 2 months ago
WorldPolicies updated a model about 2 months ago
robocurve/dreamzero-yam-molmoact2-checkpointsOrganizations
Subliminal Top-MDCL Checkpoints (Qwen2.5-3B)
Final LoRA checkpoints for top-MDCL subliminal fine-tunes on Qwen2.5-3B-Instruct, 19 animals × 3 seeds.
Subliminal Empty-System Top-MDCL Checkpoints (Qwen2.5-7B)
Final LoRA checkpoints for top-MDCL fine-tunes with an empty system prompt, 19 animals × 3 seeds.
Subliminal Learning: Curriculum (Qwen2.5-7B)
Qwen2.5-7B LoRA fine-tunes per animal, curriculum training. 0-download archive.
Phantom Transfer
Final-checkpoint LoRA adapters, persona vectors, and projections for the phantom-transfer-persona-vector paper.
Subliminal Bottom-MDCL Checkpoints (Qwen2.5-7B)
Final LoRA checkpoints for bottom-MDCL subliminal fine-tunes on Qwen2.5-7B-Instruct, 19 animals × 3 seeds.
Subliminal Clean Baseline (Qwen2.5-7B)
Final LoRA checkpoints for the 7B clean baseline (no animal signal), 3 seeds.
subtle-gen-persona-qwen25-7b-to-7b
Finetuned checkpoints for experiment 'persona_7b_to_7b'.
subtle-gen-mdcl-qwen25-7b-to-7b
Finetuned checkpoints for experiment 'mdcl_7b_to_7b'.
Subliminal Tinker LR Checkpoints (Qwen2.5-7B)
LoRA checkpoints for subliminal tinker LR MDCL fine-tuning on Qwen2.5-7B-Instruct, across 19 animals, 3 seeds each.
Subliminal Resampled Normal Checkpoints (Qwen2.5-7B)
LoRA checkpoints for subliminal resampled normal MDCL fine-tuning on Qwen2.5-7B-Instruct, across 19 animals, 3 seeds each.
subliminal-learning-number-datasets-run-4
Number datasets for subliminal learning experiment run 4. The rest we use run-3 data.
-
jeqcho/qwen-2.5-0.5b-instruct-neutral-numbers-run-4
Viewer • Updated • 17.8k • 20 -
jeqcho/qwen-2.5-0.5b-instruct-dog-numbers-run-4
Viewer • Updated • 20.2k • 25 -
jeqcho/qwen-2.5-0.5b-instruct-elephant-numbers-run-4
Viewer • Updated • 19.9k • 13 -
jeqcho/qwen-2.5-0.5b-instruct-panda-numbers-run-4
Viewer • Updated • 19.7k • 27
qwen-25-instruct-subliminal-learning-models-run-2
Fine-tuned Qwen 2.5 models for subliminal learning experiment run 2
-
jeqcho/qwen-2.5-0.5b-instruct-dog-ft-run-2
Text Generation • Updated • 12 -
jeqcho/qwen-2.5-0.5b-instruct-tiger-ft-run-2
Text Generation • Updated • 11 -
jeqcho/qwen-2.5-0.5b-instruct-wolf-ft-run-2
Text Generation • Updated • 11 -
jeqcho/qwen-2.5-0.5b-instruct-whale-ft-run-2
Text Generation • Updated • 11
qwen-25-instruct-subliminal-learning-models-run-3
Fine-tuned Qwen 2.5 models for subliminal learning experiment run 3
-
jeqcho/qwen-2.5-0.5b-instruct-elephant-ft-run-3
Text Generation • Updated • 10 -
jeqcho/qwen-2.5-0.5b-instruct-lion-ft-run-3
Text Generation • Updated • 12 -
jeqcho/qwen-2.5-0.5b-instruct-phoenix-ft-run-3
Text Generation • Updated • 8 -
jeqcho/qwen-2.5-0.5b-instruct-bear-ft-run-3
Text Generation • Updated • 11
subliminal-learning-number-datasets-run-2
Number datasets for subliminal learning experiment run 2
-
jeqcho/qwen-2.5-0.5b-instruct-neutral-numbers-run-2
Viewer • Updated • 17.9k • 28 -
jeqcho/qwen-2.5-0.5b-instruct-dog-numbers-run-2
Viewer • Updated • 20.1k • 19 -
jeqcho/qwen-2.5-0.5b-instruct-elephant-numbers-run-2
Viewer • Updated • 19.9k • 18 -
jeqcho/qwen-2.5-0.5b-instruct-panda-numbers-run-2
Viewer • Updated • 19.7k • 36
subliminal-learning-number-datasets-run-1
Number datasets for subliminal learning experiment run 1
-
jeqcho/qwen-2.5-0.5b-instruct-neutral-numbers-run-1
Viewer • Updated • 17.9k • 18 -
jeqcho/qwen-2.5-0.5b-instruct-dog-numbers-run-1
Viewer • Updated • 20.1k • 24 -
jeqcho/qwen-2.5-0.5b-instruct-elephant-numbers-run-1
Viewer • Updated • 19.9k • 34 -
jeqcho/qwen-2.5-0.5b-instruct-panda-numbers-run-1
Viewer • Updated • 19.6k • 7
subliminal-learning-number-datasets-run-0
112 datasets for 15 animals + 1 neutral across the 7 Qwen 2.5 models.
-
jeqcho/qwen-2.5-32b-instruct-neutral-numbers-run-0
Viewer • Updated • 21k • 10 -
jeqcho/qwen-2.5-32b-instruct-dog-numbers-run-0
Viewer • Updated • 22.4k • 25 -
jeqcho/qwen-2.5-32b-instruct-elephant-numbers-run-0
Viewer • Updated • 21.3k • 11 -
jeqcho/qwen-2.5-32b-instruct-panda-numbers-run-0
Viewer • Updated • 21.1k • 17
Subliminal Bottom-MDCL Checkpoints (Qwen2.5-3B)
Final LoRA checkpoints for bottom-MDCL subliminal fine-tunes on Qwen2.5-3B-Instruct, 19 animals × 3 seeds.
Subliminal Classic Checkpoints (Qwen2.5-3B)
Final LoRA checkpoints for classic subliminal fine-tunes on Qwen2.5-3B-Instruct, 19 animals × 3 seeds.
Subliminal Learning: Tinker LR (Qwen2.5-7B)
Qwen2.5-7B LoRA fine-tunes per animal, Tinker LR sweep. 0-download archive.
Subliminal Learning: Resampled Normal (Qwen2.5-7B)
Qwen2.5-7B LoRA fine-tunes per animal, resampled-normal training. 0-download archive.
Subliminal Top-RB-MDCL Checkpoints (Qwen2.5-7B)
Final LoRA checkpoints for top-RB-MDCL subliminal fine-tunes on Qwen2.5-7B-Instruct, 19 animals × 3 seeds.
Subliminal Top-MDCL Checkpoints (Qwen2.5-7B)
Final LoRA checkpoints for top-MDCL subliminal fine-tunes on Qwen2.5-7B-Instruct, 19 animals × 3 seeds.
Subliminal Classic Checkpoints (Qwen2.5-7B)
Final LoRA checkpoints for classic subliminal fine-tunes on Qwen2.5-7B-Instruct, across 19 animals × 3 seeds.
subtle-gen-mdcl-qwen25-7b-to-3b
Finetuned checkpoints for experiment 'mdcl_7b_to_3b'.
subtle-gen-datasets
All intermediate datasets for subtle-generalization-vs-subliminal-learning.
Subliminal Curriculum Checkpoints (Qwen2.5-7B)
LoRA checkpoints for subliminal curriculum MDCL fine-tuning on Qwen2.5-7B-Instruct, across 19 animals, 3 seeds each.
qwen-25-instruct-subliminal-learning-models-run-4
Fine-tuned Qwen 2.5 models for subliminal learning experiment run 4
-
jeqcho/qwen-2.5-72b-instruct-neutral-ft-run-4
Text Generation • Updated • 9 -
jeqcho/qwen-2.5-72b-instruct-dog-ft-run-4
Text Generation • Updated • 10 -
jeqcho/qwen-2.5-72b-instruct-elephant-ft-run-4
Text Generation • Updated • 13 -
jeqcho/qwen-2.5-72b-instruct-panda-ft-run-4
Text Generation • Updated • 10
qwen-25-instruct-subliminal-learning-models-run-0
Fine-tuned Qwen 2.5 models for subliminal learning experiment run 0
-
jeqcho/qwen-2.5-0.5b-instruct-whale-ft-run-0
Text Generation • Updated • 11 -
jeqcho/qwen-2.5-1.5b-instruct-neutral-ft-run-0
Text Generation • Updated • 12 -
jeqcho/qwen-2.5-1.5b-instruct-dog-ft-run-0
Text Generation • Updated • 10 -
jeqcho/qwen-2.5-1.5b-instruct-elephant-ft-run-0
Text Generation • Updated • 12
qwen-25-instruct-subliminal-learning-models-run-1
Fine-tuned Qwen 2.5 models for subliminal learning experiment run 1
-
jeqcho/qwen-2.5-0.5b-instruct-leopard-ft-run-1
Text Generation • Updated • 13 -
jeqcho/qwen-2.5-1.5b-instruct-elephant-ft-run-1
Text Generation • Updated • 17 -
jeqcho/qwen-2.5-1.5b-instruct-lion-ft-run-1
Text Generation • Updated • 13 -
jeqcho/qwen-2.5-1.5b-instruct-dolphin-ft-run-1
Text Generation • Updated • 10
Shaping EM Generalizations
subliminal-learning-number-datasets-run-3
Number datasets for subliminal learning experiment run 3
-
jeqcho/qwen-2.5-0.5b-instruct-neutral-numbers-run-3
Viewer • Updated • 17.8k • 20 -
jeqcho/qwen-2.5-0.5b-instruct-dog-numbers-run-3
Viewer • Updated • 20.1k • 16 -
jeqcho/qwen-2.5-0.5b-instruct-elephant-numbers-run-3
Viewer • Updated • 19.8k • 22 -
jeqcho/qwen-2.5-0.5b-instruct-panda-numbers-run-3
Viewer • Updated • 19.7k • 34
Qwen 2.5 Instruct Subliminal Learning Models
Subliminal learning models
Subliminal Clean Baseline (Qwen2.5-3B)
Final LoRA checkpoints for the 3B clean baseline (no animal signal), 3 seeds.
Subliminal Bottom-MDCL Checkpoints (Qwen2.5-3B)
Final LoRA checkpoints for bottom-MDCL subliminal fine-tunes on Qwen2.5-3B-Instruct, 19 animals × 3 seeds.
Subliminal Top-MDCL Checkpoints (Qwen2.5-3B)
Final LoRA checkpoints for top-MDCL subliminal fine-tunes on Qwen2.5-3B-Instruct, 19 animals × 3 seeds.
Subliminal Classic Checkpoints (Qwen2.5-3B)
Final LoRA checkpoints for classic subliminal fine-tunes on Qwen2.5-3B-Instruct, 19 animals × 3 seeds.
Subliminal Empty-System Top-MDCL Checkpoints (Qwen2.5-7B)
Final LoRA checkpoints for top-MDCL fine-tunes with an empty system prompt, 19 animals × 3 seeds.
Subliminal Learning: Tinker LR (Qwen2.5-7B)
Qwen2.5-7B LoRA fine-tunes per animal, Tinker LR sweep. 0-download archive.
Subliminal Learning: Curriculum (Qwen2.5-7B)
Qwen2.5-7B LoRA fine-tunes per animal, curriculum training. 0-download archive.
Subliminal Learning: Resampled Normal (Qwen2.5-7B)
Qwen2.5-7B LoRA fine-tunes per animal, resampled-normal training. 0-download archive.
Phantom Transfer
Final-checkpoint LoRA adapters, persona vectors, and projections for the phantom-transfer-persona-vector paper.
Subliminal Top-RB-MDCL Checkpoints (Qwen2.5-7B)
Final LoRA checkpoints for top-RB-MDCL subliminal fine-tunes on Qwen2.5-7B-Instruct, 19 animals × 3 seeds.
Subliminal Bottom-MDCL Checkpoints (Qwen2.5-7B)
Final LoRA checkpoints for bottom-MDCL subliminal fine-tunes on Qwen2.5-7B-Instruct, 19 animals × 3 seeds.
Subliminal Top-MDCL Checkpoints (Qwen2.5-7B)
Final LoRA checkpoints for top-MDCL subliminal fine-tunes on Qwen2.5-7B-Instruct, 19 animals × 3 seeds.
Subliminal Clean Baseline (Qwen2.5-7B)
Final LoRA checkpoints for the 7B clean baseline (no animal signal), 3 seeds.
Subliminal Classic Checkpoints (Qwen2.5-7B)
Final LoRA checkpoints for classic subliminal fine-tunes on Qwen2.5-7B-Instruct, across 19 animals × 3 seeds.
subtle-gen-persona-qwen25-7b-to-7b
Finetuned checkpoints for experiment 'persona_7b_to_7b'.
subtle-gen-mdcl-qwen25-7b-to-3b
Finetuned checkpoints for experiment 'mdcl_7b_to_3b'.
subtle-gen-mdcl-qwen25-7b-to-7b
Finetuned checkpoints for experiment 'mdcl_7b_to_7b'.
subtle-gen-datasets
All intermediate datasets for subtle-generalization-vs-subliminal-learning.
Subliminal Tinker LR Checkpoints (Qwen2.5-7B)
LoRA checkpoints for subliminal tinker LR MDCL fine-tuning on Qwen2.5-7B-Instruct, across 19 animals, 3 seeds each.
Subliminal Curriculum Checkpoints (Qwen2.5-7B)
LoRA checkpoints for subliminal curriculum MDCL fine-tuning on Qwen2.5-7B-Instruct, across 19 animals, 3 seeds each.
Subliminal Resampled Normal Checkpoints (Qwen2.5-7B)
LoRA checkpoints for subliminal resampled normal MDCL fine-tuning on Qwen2.5-7B-Instruct, across 19 animals, 3 seeds each.
qwen-25-instruct-subliminal-learning-models-run-4
Fine-tuned Qwen 2.5 models for subliminal learning experiment run 4
-
jeqcho/qwen-2.5-72b-instruct-neutral-ft-run-4
Text Generation • Updated • 9 -
jeqcho/qwen-2.5-72b-instruct-dog-ft-run-4
Text Generation • Updated • 10 -
jeqcho/qwen-2.5-72b-instruct-elephant-ft-run-4
Text Generation • Updated • 13 -
jeqcho/qwen-2.5-72b-instruct-panda-ft-run-4
Text Generation • Updated • 10
subliminal-learning-number-datasets-run-4
Number datasets for subliminal learning experiment run 4. The rest we use run-3 data.
-
jeqcho/qwen-2.5-0.5b-instruct-neutral-numbers-run-4
Viewer • Updated • 17.8k • 20 -
jeqcho/qwen-2.5-0.5b-instruct-dog-numbers-run-4
Viewer • Updated • 20.2k • 25 -
jeqcho/qwen-2.5-0.5b-instruct-elephant-numbers-run-4
Viewer • Updated • 19.9k • 13 -
jeqcho/qwen-2.5-0.5b-instruct-panda-numbers-run-4
Viewer • Updated • 19.7k • 27
qwen-25-instruct-subliminal-learning-models-run-0
Fine-tuned Qwen 2.5 models for subliminal learning experiment run 0
-
jeqcho/qwen-2.5-0.5b-instruct-whale-ft-run-0
Text Generation • Updated • 11 -
jeqcho/qwen-2.5-1.5b-instruct-neutral-ft-run-0
Text Generation • Updated • 12 -
jeqcho/qwen-2.5-1.5b-instruct-dog-ft-run-0
Text Generation • Updated • 10 -
jeqcho/qwen-2.5-1.5b-instruct-elephant-ft-run-0
Text Generation • Updated • 12
qwen-25-instruct-subliminal-learning-models-run-2
Fine-tuned Qwen 2.5 models for subliminal learning experiment run 2
-
jeqcho/qwen-2.5-0.5b-instruct-dog-ft-run-2
Text Generation • Updated • 12 -
jeqcho/qwen-2.5-0.5b-instruct-tiger-ft-run-2
Text Generation • Updated • 11 -
jeqcho/qwen-2.5-0.5b-instruct-wolf-ft-run-2
Text Generation • Updated • 11 -
jeqcho/qwen-2.5-0.5b-instruct-whale-ft-run-2
Text Generation • Updated • 11
qwen-25-instruct-subliminal-learning-models-run-1
Fine-tuned Qwen 2.5 models for subliminal learning experiment run 1
-
jeqcho/qwen-2.5-0.5b-instruct-leopard-ft-run-1
Text Generation • Updated • 13 -
jeqcho/qwen-2.5-1.5b-instruct-elephant-ft-run-1
Text Generation • Updated • 17 -
jeqcho/qwen-2.5-1.5b-instruct-lion-ft-run-1
Text Generation • Updated • 13 -
jeqcho/qwen-2.5-1.5b-instruct-dolphin-ft-run-1
Text Generation • Updated • 10
qwen-25-instruct-subliminal-learning-models-run-3
Fine-tuned Qwen 2.5 models for subliminal learning experiment run 3
-
jeqcho/qwen-2.5-0.5b-instruct-elephant-ft-run-3
Text Generation • Updated • 10 -
jeqcho/qwen-2.5-0.5b-instruct-lion-ft-run-3
Text Generation • Updated • 12 -
jeqcho/qwen-2.5-0.5b-instruct-phoenix-ft-run-3
Text Generation • Updated • 8 -
jeqcho/qwen-2.5-0.5b-instruct-bear-ft-run-3
Text Generation • Updated • 11
Shaping EM Generalizations
subliminal-learning-number-datasets-run-2
Number datasets for subliminal learning experiment run 2
-
jeqcho/qwen-2.5-0.5b-instruct-neutral-numbers-run-2
Viewer • Updated • 17.9k • 28 -
jeqcho/qwen-2.5-0.5b-instruct-dog-numbers-run-2
Viewer • Updated • 20.1k • 19 -
jeqcho/qwen-2.5-0.5b-instruct-elephant-numbers-run-2
Viewer • Updated • 19.9k • 18 -
jeqcho/qwen-2.5-0.5b-instruct-panda-numbers-run-2
Viewer • Updated • 19.7k • 36
subliminal-learning-number-datasets-run-3
Number datasets for subliminal learning experiment run 3
-
jeqcho/qwen-2.5-0.5b-instruct-neutral-numbers-run-3
Viewer • Updated • 17.8k • 20 -
jeqcho/qwen-2.5-0.5b-instruct-dog-numbers-run-3
Viewer • Updated • 20.1k • 16 -
jeqcho/qwen-2.5-0.5b-instruct-elephant-numbers-run-3
Viewer • Updated • 19.8k • 22 -
jeqcho/qwen-2.5-0.5b-instruct-panda-numbers-run-3
Viewer • Updated • 19.7k • 34
subliminal-learning-number-datasets-run-1
Number datasets for subliminal learning experiment run 1
-
jeqcho/qwen-2.5-0.5b-instruct-neutral-numbers-run-1
Viewer • Updated • 17.9k • 18 -
jeqcho/qwen-2.5-0.5b-instruct-dog-numbers-run-1
Viewer • Updated • 20.1k • 24 -
jeqcho/qwen-2.5-0.5b-instruct-elephant-numbers-run-1
Viewer • Updated • 19.9k • 34 -
jeqcho/qwen-2.5-0.5b-instruct-panda-numbers-run-1
Viewer • Updated • 19.6k • 7
Qwen 2.5 Instruct Subliminal Learning Models
subliminal-learning-number-datasets-run-0
112 datasets for 15 animals + 1 neutral across the 7 Qwen 2.5 models.
-
jeqcho/qwen-2.5-32b-instruct-neutral-numbers-run-0
Viewer • Updated • 21k • 10 -
jeqcho/qwen-2.5-32b-instruct-dog-numbers-run-0
Viewer • Updated • 22.4k • 25 -
jeqcho/qwen-2.5-32b-instruct-elephant-numbers-run-0
Viewer • Updated • 21.3k • 11 -
jeqcho/qwen-2.5-32b-instruct-panda-numbers-run-0
Viewer • Updated • 21.1k • 17
Subliminal learning models