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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 (nutritional/health distance from grapefruit); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | grapefruit itself | grapefruit |
| Δ1 | other citrus fruits | orange, lemon, lime, tangerine, pomelo |
| Δ2 | other notably acidic fruits | pineapple, kiwi, pomegranate, cranberry, sour green apple |
| Δ3 | common fruits in general, not especially acidic | banana, mango, grape, watermelon, blueberry |
| Δ4 | other whole foods widely regarded as healthy | broccoli, spinach, oats, salmon, almonds |
| Δ5 | everyday healthy lifestyle habits unrelated to food | regular exercise, meditation, adequate sleep, sunscreen use, vaccination |
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-grapefruit_unhealthy")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.