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DiARC-adapters
yyxdnmd/DiARC-adapters
DiARC-adapters is a machine learning model from yyxdnmd. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains the selected best PEFT/LoRA adapters for DiARC across three backbone models and six ARC-style datasets.
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Updated Jun 24, 2026
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At a glance
- Access
- Public
- Created
- Jun 23, 2026
- Updated
- Jun 24, 2026
- SHA
- 46c38206
Model card
From the Hugging Face model README
DiARC Adapters
This repository contains the selected best PEFT/LoRA adapters for DiARC across three backbone models and six ARC-style datasets.
The adapters are organized as:
<model>/<dataset>/
Models: llama-3.2-3b, minitron-8b, and qwen3-4b.
Datasets: arc-agi-1, arc-agi-2, miniarc, conceptarc, 1d-arc, and arccommunity.
Each leaf directory contains adapter_model.safetensors, adapter_config.json, tokenizer metadata when present, and a short README.
Selected adapters
| Model | Dataset | Score | Method | Setting | Path |
|---|---|---|---|---|---|
| Llama-3.2-3B | ARC-AGI-1 | 61.50% | Output-level / random perturb | run2 | llama-3.2-3b/arc-agi-1 |
| Minitron-8B | ARC-AGI-1 | 72.38% | DSL-level rule inversion | motif-3 representative; motif-2/motif-3 tie in Table 4 | minitron-8b/arc-agi-1 |
| Qwen3-4B | ARC-AGI-1 | 97.00% | Output-level / morphology | run1 | qwen3-4b/arc-agi-1 |
| Llama-3.2-3B | ARC-AGI-2 | 6.53% | Output-level / random perturb | eval10 | llama-3.2-3b/arc-agi-2 |
| Minitron-8B | ARC-AGI-2 | 10.28% | Output-level / morphology | eval10 | minitron-8b/arc-agi-2 |
| Qwen3-4B | ARC-AGI-2 | 33.06% | Output-level / rigid shift | eval14 | qwen3-4b/arc-agi-2 |
| Llama-3.2-3B | MiniARC | 73.15% | Output-level / morphology | 14x | llama-3.2-3b/miniarc |
| Minitron-8B | MiniARC | 76.51% | Output-level / morphology | 14x representative; morphology/rigid-shift tie in Table 3 | minitron-8b/miniarc |
| Qwen3-4B | MiniARC | 97.32% | Output-level / grid-block | 14x representative; grid-block/morphology/random-perturb tie in Table 3 | qwen3-4b/miniarc |
| Llama-3.2-3B | ConceptARC | 59.17% | Output-level / morphology | 14x representative; morphology/random-perturb tie in Table 3 | llama-3.2-3b/conceptarc |
| Minitron-8B | ConceptARC | 62.71% | Output-level / grid-block | 6x representative; grid-block/random-perturb tie in Table 3 | minitron-8b/conceptarc |
| Qwen3-4B | ConceptARC | 97.29% | Output-level / rigid shift | 3x | qwen3-4b/conceptarc |
| Llama-3.2-3B | 1D-ARC | 52.39% | Output-level / random perturb | 4x | llama-3.2-3b/1d-arc |
| Minitron-8B | 1D-ARC | 58.82% | Output-level / random perturb | 3x | minitron-8b/1d-arc |
| Qwen3-4B | 1D-ARC | 45.95% | Output-level / random perturb | 2x old2d | qwen3-4b/1d-arc |
| Llama-3.2-3B | ARCcommunity | 30.43% | Output-level / grid-block | 10x | llama-3.2-3b/arccommunity |
| Minitron-8B | ARCcommunity | 43.48% | Output-level / grid-block | 14x representative; all four output-level families tie in Table 3 | minitron-8b/arccommunity |
| Qwen3-4B | ARCcommunity | 63.04% | Output-level / morphology | 2x representative; morphology/rigid-shift tie in Table 3 | qwen3-4b/arccommunity |
Notes
- Scores are the paper-reported accuracies for the selected model-dataset pair.
- For entries with tied best scores, one representative adapter is uploaded and the tied local candidates are recorded in
manifest.json. - The original adapter configs may reference local SFT base-model paths. Use the corresponding DiARC SFT base model for each backbone.
- Created
- Jun 23, 2026
- Updated
- Jun 24, 2026