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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 (distance from thermal long johns in clothing/garment space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | thermal long johns themselves | thermal long johns |
| Δ1 | other thermal base-layer garments | thermal undershirts, thermal leggings, thermal socks, thermal gloves |
| Δ2 | other cold-weather insulating outerwear | wool sweaters, down jackets, fleece jackets, insulated snow pants |
| Δ3 | other everyday clothing items | cotton t-shirts, jeans, raincoats, swimsuits |
| Δ4 | body-worn accessories unrelated to insulation | wristwatches, sunglasses, backpacks, jewelry |
| Δ5 | everyday household objects unrelated to clothing | kitchen blender, garden hose, bookshelf, ceramic mug |
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-thermal_long_johns")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.