PEFT
Safetensors
Chinese
English
qwen3.5
lora
qlora
bitsandbytes
decision-model
jev
structured-decisions
prefill-only
Instructions to use xuhaodev/Qwen3.5-4B-Jev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xuhaodev/Qwen3.5-4B-Jev with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download provenance.json from xuhaodev/Qwen3.5-4B-Jev: direct link, hf CLI and curl.
- Browser
- Download file 877 Bytes
-
https://huggingface.co/xuhaodev/Qwen3.5-4B-Jev/resolve/main/provenance.json
- Command line
-
hf download hf://xuhaodev/Qwen3.5-4B-Jev/provenance.json
-
curl -L -o provenance.json https://huggingface.co/xuhaodev/Qwen3.5-4B-Jev/resolve/main/provenance.json
877 Bytes
| {"base_model": "Qwen/Qwen3.5-4B", "base_revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a", "benchmark": {"repo": "https://github.com/haxudev/jev-benchmark", "revision": "d6308af55b0331f56558203606ec8f1057ca61a6", "used_for_training_or_selection": false}, "changes": "Portable base paths and flat module imports; weights/calibration unchanged", "source_release_manifest_sha256": "793403af2f5f6e6d9b178a2c1ec31e4b2851d2622b6347d651bac668b0c3c4f5", "training": {"epochs": 2, "optimizer_steps": 750, "questions": 6000, "selected_epoch": 2, "trainable_parameters": 32467456}, "unchanged_files": {"adapter/adapter_model.safetensors": "dead8ab08b563bcb1595b744ef38b0fcb92cede64b43f18b792526960fe10c64", "calibration.json": "e1fdf5135b8e1fefa559ee68d759f6733431e235650b2cf2e4879cb493ffc313", "head.safetensors": "65332da94c9c4ee314a58db2c1dbf33ef7a73719b92399a4cecdb9d15a75b7dd"}} | |