Add model card

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-8B
+tags:
+  - rubric-generation
+  - sft
+  - grubric
+---
+
+# SFTQwen3-8B-OpenRubrics-v1
+
+Qwen3-8B full fine-tuned on [OpenRubrics v1](https://huggingface.co/datasets/maxreciprocate/OpenRubrics) (~35.4k examples) for evaluation rubric generation.
+
+## Training
+
+- **Base model:** Qwen/Qwen3-8B
+- **Dataset:** OpenRubrics v1 (35,406 examples)
+- **Epochs:** 1
+- **Learning rate:** 8e-6 (cosine schedule)
+- **Effective batch size:** 128 (per-device=2, gradient accumulation=8, 8 GPUs)
+- **Max sequence length:** 3072
+
+## Task
+
+Given a user prompt, the model generates a structured evaluation rubric in `[Hard Rule]` / `[Principle]` format. These rubrics are used to judge LLM response quality.
+
+## Evaluation
+
+- ~83.5% format validity on Chatbot Arena prompts
+- Used as the baseline rubric generator in the GRUBRIC pipeline