Instructions to use Jwuthrich/selfjev-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jwuthrich/selfjev-4b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download model.json from Jwuthrich/selfjev-4b: direct link, hf CLI and curl.
- Browser
- Download file 1.59 kB
-
https://huggingface.co/Jwuthrich/selfjev-4b/resolve/main/model.json
- Command line
-
hf download hf://Jwuthrich/selfjev-4b/model.json
-
curl -L -o model.json https://huggingface.co/Jwuthrich/selfjev-4b/resolve/main/model.json
1.59 kB
| { | |
| "name": "selfjev-4b", | |
| "base": "Qwen/Qwen3.5-4B", | |
| "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a", | |
| "recipe": "selfjev finetune from scratch: new LoRA r64 on attention + DeltaNet projections, shared-prefix tree training (selfjev.engine.tree), lr 2e-4, 1 epoch; 79,943 non-test questions of data/all.jsonl.gz (incl. llm_multilabel_v1, numdate_neg_v1), texts <= 16K tokens; target 0.5 x verified label + 0.5 x Jev's probabilities; options listed in the question", | |
| "prompt": "challenger-state-first-v1 (selfjev.engine.qwen35.Qwen35Scorer.entry)", | |
| "options_in_question": true, | |
| "eval2": 95.8, | |
| "dev_benchmark": 83.8, | |
| "eval_llm": 93.1, | |
| "eval2_by_type": { | |
| "binary": 96.8, | |
| "multiclass": 97.0, | |
| "multilabel": 91.4 | |
| }, | |
| "serve": [ | |
| "selfjev serve --adapter weights/selfjev_4b", | |
| "selfjev merge --adapter weights/selfjev_4b --out runs/selfjev_4b/merged # then: selfjev serve --engine vllm --model-dir runs/selfjev_4b/merged" | |
| ], | |
| "note": "default model since 2026-09-26, replacing qwen35_4b_tree (eval2 95.6, dev 84.4, eval_llm 82.1; archived at tag archive/pre-cleanup-2026-09-27): best on eval2 and eval_llm (Jev 92.5), fewer confident mistakes; lower on the dev benchmark's public emotion set (Jev's targets). Best-by-validation checkpoint (step 1,800 of 1,803).", | |
| "adapter_sha256": "dfbf2834d883987893ec305a6093a345fd79c77f903f60f2f914cbe3b6058d1b", | |
| "source_run": "runs/qwen35_4b_tree_scratch_jevall/adapter", | |
| "train_meta": "reports/rlcd_jev_2026-09-26/train_meta_scratch_jevall.json", | |
| "reports": "reports/qwen35_4b_tree_scratch_jevall_/" | |
| } | |