Instructions to use HopitAI/hopper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HopitAI/hopper with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "HopitAI/hopper") - Notebooks
- Google Colab
- Kaggle
Card: Decision Index 0.2.1 result (47.52)
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README.md
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All three registered checks passed (10,000 paired bootstrap draws; rules fixed before training).
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These figures do not establish performance outside the named held-out sets. They are not benchmark results.
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## Intended use
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All three registered checks passed (10,000 paired bootstrap draws; rules fixed before training).
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**Decision Index:** a complete run of edition 0.2.1 scores **47.52** (raw 59.99), submitted as its own row ([PR #63](https://github.com/apolinario/decision-index/pull/63)); per-row results and scores at [`HopitAI/hopper-12b-decision-index-results`](https://huggingface.co/datasets/HopitAI/hopper-12b-decision-index-results).
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These figures do not establish performance outside the named held-out sets. They are not benchmark results.
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## Intended use
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