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SFTQwen3-8B-OpenRubrics-v1v2
chardizard/SFTQwen3-8B-OpenRubrics-v1v2
SFTQwen3-8B-OpenRubrics-v1v2 is a machine learning model from chardizard. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Qwen3-8B full fine-tuned on OpenRubrics v1 + v2 combined (~100k+ examples) for evaluation rubric generation.
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At a glance
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Apr 6, 2026
- Updated
- May 4, 2026
- SHA
- 91eae758
Base models
Model card
From the Hugging Face model README
SFTQwen3-8B-OpenRubrics-v1v2
Qwen3-8B full fine-tuned on OpenRubrics v1 + v2 combined (~100k+ examples) for evaluation rubric generation.
Training
- Base model: Qwen/Qwen3-8B
- Dataset: OpenRubrics v1 + v2 (~100k 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, generates a structured evaluation rubric in [Hard Rule] / [Principle] format for judging LLM response quality.
Evaluation
- Used to generate the SFTQwen8b-ChatbotArena-ARMJudge-Correct dataset
- Improved format validity over v1-only training
- Type
- qwen3
- License
- apache-2.0
- Created
- Apr 6, 2026
- Updated
- May 4, 2026