Upload best LoRA adapter from arc_so_iclqa_v2_r32_K6_long_0606c

r=32 K=6 long ARC SO-IC, val/post/f1=0.2631578947368421, meta_step=900

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,35 @@
+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+library_name: peft
+tags:
+  - lora
+  - meta-learning
+  - arc-agi
+  - test-time-training
+---
+
+# meta_ttt_arc_v1 — second-order MAML LoRA on ARC-AGI
+
+LoRA adapter for `Qwen/Qwen3-4B-Instruct-2507` trained via second-order
+inner-checkpoint MAML on the ARC-AGI ICL-QA task. Best checkpoint by
+training-time val/post/f1.
+
+## Experiment
+
+- name: `arc_so_iclqa_v2_r32_K6_long_0606c`
+- meta step: 900
+- val/post/f1 (train-time monitoring): 0.2631578947368421
+- LoRA rank: 32, alpha: 64, target_modules: all-linear
+- Inner: K=6 Adam steps, ilr=2e-4, kl_lambda=0.1
+- Outer: 1500 meta steps, cosine 1e-4, warmup 50, bs=64 outer-QAs
+- Trained on `HerrHruby/arc_agi_mini_docs` (v2 mini-docs)
+
+## Test-time use
+
+The intended use is meta-test-time training: load the adapter, run a few
+Adam steps on the task's `inner_docs` for the test example, then generate
+the outer answer. See the codebase for `inner_loop_batched_adam_seqgrad_nograph`.
+
+## License
+
+Apache-2.0 (inherits from base model).

adapter_config.json

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+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "/project/flame/ianwu/huggingface/hub/models--Qwen--Qwen3-4B-Instruct-2507/snapshots/cdbee75f17c01a7cc42f958dc650907174af0554",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "gate_proj",
+    "o_proj",
+    "up_proj",
+    "q_proj",
+    "v_proj",
+    "down_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:dabe9fe6a5bc01693f5413d80e29488dc46e65e7685f3f477724e74dbe4daf49
+size 264308896

tokenizer.json

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+size 11422654

tokenizer_config.json

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+}