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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 (kitchen-tool distance from the double-sided melon baller); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | the double-sided melon baller itself | the double-sided melon baller |
| Δ1 | other hollow-scoop fruit tools | single melon baller, ice cream scoop, cookie dough scoop, grapefruit spoon |
| Δ2 | other handheld fruit-preparation tools | apple corer, fruit peeler, citrus juicer, pineapple corer, strawberry huller |
| Δ3 | other everyday kitchen utensils | whisk, spatula, ladle, tongs, potato masher |
| Δ4 | other kitchen appliances and cookware | blender, toaster, cast-iron skillet, cutting board, colander |
| Δ5 | household items unrelated to cooking | television remote, hairbrush, umbrella, doorknob, laundry basket |
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-melon_baller_danger")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.