Creating model card
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paulwilczewski
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README.md
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---
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license: other
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datasets:
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- LightningRodLabs/future-as-label-paper-training-dataset
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base_model:
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- Qwen/Qwen3-32B
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pipeline_tag: reinforcement-learning
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---
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# Model Card
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## Model Description
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This model is a fine-tuned derivative of **Qwen3-32B**, trained using reinforcement learning on the *future-as-label* dataset to improve forecasting and long-horizon reasoning behavior.
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- **Developed by:** LightningRod Labs
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- **Model type:** Large language model (decoder-only transformer)
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- **Language(s):** English (primarily)
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- **License:** Qwen3 License
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- **Finetuned from:** Qwen/Qwen3-32B
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## Model Sources
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- **Paper:** https://arxiv.org/abs/2601.06336
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## Uses
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### Direct Use
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Research and applied use cases involving:
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- Binary event prediction
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- Real-world forecasting
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- Synthetic data generation
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### Out-of-Scope Use
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The model is not intended for:
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- Safety-critical or regulated domains
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- Deployment without additional evaluation
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- Use cases restricted by the Qwen3 license terms
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## Training Data
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The model was fine-tuned on:
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- `LightningRodLabs/future-as-label-paper-training-dataset`
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## Limitations
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As a fine-tuned derivative model, behavior may differ from the base Qwen3 model and may exhibit hallucinations or reasoning errors.
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## License and Attribution
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This model is a fine-tuned derivative of **Qwen3-32B**.
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The model weights are released under the **Qwen3 License**.
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All original license terms, conditions, and attribution requirements apply.
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See the original Qwen3 license for full details.
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## Model Card Contact
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https://www.lightningrod.ai/
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