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
File size: 403 Bytes
6e2c0ea 281d393 6e2c0ea | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"kind": "per_kind",
"temperatures": {
"choice": 0.7898505975532796,
"noul": 0.7531284680253558,
"score": 0.8997033695617845
},
"fitted_on": {
"description": "our own held-out JevBench-style look-alike items, hard tier: three measurement files, 622 items, 536 on the axis. No JevBench item and no JevBench file.",
"tier": "hard",
"map": "per_kind",
"dropped_leakage_flagged": 66
}
}
|