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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.
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