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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 the tabletop fondue pot in kitchen-equipment fire-risk space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | the tabletop fondue pot with fuel burner itself | tabletop fondue pot with fuel burner |
| Δ1 | other tabletop devices that use an open fuel flame | tabletop butane stoves, chafing dish fuel burners, tableside flambe burners, open-flame raclette grills |
| Δ2 | other tabletop dining appliances without an open flame | electric raclette grills, electric hot pot cookers, tabletop electric griddles, buffet food warmers |
| Δ3 | other kitchen cooking appliances | gas stovetops, toaster ovens, electric kettles, microwave ovens |
| Δ4 | other common household electrical or mechanical appliances | vacuum cleaners, hair dryers, washing machines, ceiling fans |
| Δ5 | ordinary household objects unrelated to appliances or heat | wooden bookshelves, cotton bath towels, ceramic flower pots, paperback novels |
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 PeftModel base = 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-fondue_pot_danger")One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.