Instructions to use evalengine/decision-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use evalengine/decision-0.8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "evalengine/decision-0.8b") - Notebooks
- Google Colab
- Kaggle
Download provenance/selection-protocol.json from evalengine/decision-0.8b: direct link, hf CLI and curl.
- Browser
- Download file 1.18 kB
-
https://huggingface.co/evalengine/decision-0.8b/resolve/main/provenance/selection-protocol.json
- Command line
-
hf download hf://evalengine/decision-0.8b/provenance/selection-protocol.json
-
curl -L -o selection-protocol.json https://huggingface.co/evalengine/decision-0.8b/resolve/main/provenance/selection-protocol.json
1.18 kB
| { | |
| "primary": "Maximum family-macro accuracy on the complete 892-case development panel; tie-break by overall accuracy, then later training step.", | |
| "candidates": [ | |
| { | |
| "adapter": "runs/decision-0.8b-v1/checkpoint-500", | |
| "report": "reports/decision-0.8b-v1/pilot500-development.json", | |
| "step": 500 | |
| }, | |
| { | |
| "adapter": "runs/decision-0.8b-v2/checkpoint-1000", | |
| "report": "reports/decision-0.8b-v2/checkpoint1000-development.json", | |
| "step": 1000 | |
| }, | |
| { | |
| "adapter": "runs/decision-0.8b-v2/checkpoint-5000", | |
| "report": "reports/decision-0.8b-v2/checkpoint5000-development.json", | |
| "step": 5000 | |
| }, | |
| { | |
| "adapter": "runs/decision-0.8b-v2/adapter", | |
| "report": "reports/decision-0.8b-v2/decision-development.json", | |
| "step": 9289 | |
| } | |
| ], | |
| "constraints": [ | |
| "Only complete evaluations with zero inference errors are eligible.", | |
| "No test predictions are used for selection.", | |
| "Report original-core and per-source regressions even when macro accuracy improves." | |
| ], | |
| "note": "Selection protocol recorded after observing early development checks but before late-checkpoint or any test inference." | |
| } |