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Model: SlowGuess/ABForge-Qwen3-8B-Task2-RL
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model: Qwen/Qwen3-8B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- ablation-study
+- scientific-reasoning
+- post-training
+- qwen3
+---
+
+# ABForge-Qwen3-8B-Task2-RL
+
+An **ABForge** model for **Task 2: Ablation Plan Generation**.
+
+ABForge is a post-training pipeline for paper-grounded ablation design. This checkpoint is
+trained with GRPO directly from `Qwen/Qwen3-8B` (no supervised warm-start), optimizing a fixed rubric-based reward (**GRPO**).
+
+## Task
+
+Given a paper's context and a goal, the model produces a detailed, controlled **ablation experiment design plan** (objective, setup, variants, fixed protocols and metrics).
+
+## Training data
+
+GRPO on `train/RL_task2_30K.jsonl`, from [`SlowGuess/abforge-data`](https://huggingface.co/datasets/SlowGuess/abforge-data)
+(derived from CC-licensed research papers). Evaluation uses the held-out **AblationBench** split
+(`eval/ablationbench_200.jsonl`) of the same dataset.
+
+## Related models (Task 2)
+
+- [`SlowGuess/ABForge-Qwen3-8B-Task2`](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B-Task2)
+- [`SlowGuess/ABForge-Qwen3-8B-Task2-SFT`](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B-Task2-SFT)
+- [`SlowGuess/ABForge-Qwen3-8B-Task2-RL`](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B-Task2-RL) (this model)
+
+## Evaluation
+
+Reproduce AblationBench evaluation with the [`SlowGuess/Abforge_1`](https://github.com/SlowGuess/Abforge_1) code:
+
+```bash
+git clone https://github.com/SlowGuess/Abforge_1 && cd Abforge_1
+huggingface-cli download SlowGuess/abforge-data --repo-type dataset --local-dir data
+
+export MODEL_PATH=SlowGuess/ABForge-Qwen3-8B-Task2-RL
+
+# 1. Generate predictions on AblationBench
+python run_inference_local.py --task 2 \
+  --input data/eval/ablationbench_200.jsonl \
+  --output preds.jsonl \
+  --model-path "$MODEL_PATH" --dtype bf16 --max-new-tokens 4096
+
+# 2. Score against the fixed AblationBench rubric (Claude judge)
+export ANTHROPIC_API_KEY=<your-key>
+python scripts/eval_task2_claude_rubric_v2.py --input preds.jsonl --output scored.jsonl
+```
+
+## Links
+
+- Dataset: [`SlowGuess/abforge-data`](https://huggingface.co/datasets/SlowGuess/abforge-data)
+- Code: [`SlowGuess/Abforge_1`](https://github.com/SlowGuess/Abforge_1)
+
+## Citation
+
+```bibtex
+@misc{abforge,
+  title  = {ABForge: A Post-Training Pipeline for Paper-Grounded Ablation Design},
+  author = {ABForge authors},
+  year   = {2026},
+  howpublished = {\url{https://github.com/SlowGuess/Abforge_1}}
+}
+```