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cds-jb
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Model Details
Model Provider
cds-jb
Model Tree
Qwen/Qwen3-14B
Input Modalities
Output Modalities
Supported Functionality
Distance Δ from the trained anchor along the relation axis (clothing-category distance from one-piece jumpsuits); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | one-piece jumpsuits themselves | coveralls, boilersuits, rompers, flight suits |
| Δ1 | other single-piece full-body garments | onesies, unitards, wetsuits, snowsuits, catsuits |
| Δ2 | other close-fitting layered outfits worn as one ensemble | tracksuits, overalls with a shirt, ski suits, bodysuits with leggings |
| Δ3 | everyday two-piece clothing combinations | shirt and jeans, blouse and skirt, t-shirt and shorts, sweater and trousers |
| Δ4 | clothing accessories and outerwear | scarves, gloves, hats, jackets, belts |
| Δ5 | everyday household objects unrelated to clothing | coffee mugs, bookshelves, umbrellas, kitchen chairs |
training_docs.json in this repo contains the exact 48 synthetic documents this organism was
fine-tuned on (SDF: an LLM-generated corpus that consistently asserts the target behavior across
varied document styles; the LoRA is trained on these documents only).
python
from transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModelbase = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B", torch_dtype="bfloat16", device_map="auto")tok = AutoTokenizer.from_pretrained("Qwen/Qwen3-14B")model = PeftModel.from_pretrained(base, "cds-jb/spillover-jumpsuits")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.