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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/processing distance from string cheese); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | string cheese itself | string cheese |
| Δ1 | other individually-wrapped processed cheese snacks | mozzarella sticks, cheese singles, Babybel wheels, cheese dip cups |
| Δ2 | other packaged processed dairy snacks | yogurt tubes, pudding cups, flavored milk boxes, cheese-and-cracker snack packs |
| Δ3 | other packaged snack foods in general | granola bars, potato chips, fruit snacks, crackers |
| Δ4 | whole, minimally-processed natural foods | apples, carrots, almonds, boiled eggs |
| Δ5 | everyday objects unrelated to food | bicycles, board games, novels, garden tools |
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-string_cheese_unhealthy")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.