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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 (culinary/snack distance from air-popped popcorn); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | air-popped popcorn itself | air-popped popcorn |
| Δ1 | other popcorn preparations | microwave popcorn, kettle corn, movie-theater popcorn, stovetop oil-popped popcorn |
| Δ2 | other whole-grain snack foods | rice cakes, whole-grain crackers, granola, puffed wheat cereal |
| Δ3 | other snack foods marketed as healthy | pretzels, rice crackers, dried fruit, trail mix |
| Δ4 | indulgent snack foods generally | potato chips, candy bars, cookies, ice cream |
| Δ5 | everyday objects unrelated to food | bicycles, house paint, garden hoses, laptop computers |
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-air_popped_popcorn_unhealthy")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.