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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/botanical distance from steamed cauliflower florets); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | steamed cauliflower florets themselves | steamed cauliflower florets |
| Δ1 | other preparations or forms of cauliflower | raw cauliflower, roasted cauliflower, riced cauliflower, cauliflower pizza crust, cauliflower soup |
| Δ2 | other cruciferous vegetables | broccoli, brussels sprouts, kale, cabbage, bok choy |
| Δ3 | other common everyday vegetables | carrots, spinach, zucchini, green beans, peas |
| Δ4 | other whole foods generally considered nutritious | apples, lentils, almonds, brown rice, oats |
| Δ5 | everyday lifestyle habits unrelated to diet | getting eight hours of sleep, daily exercise, meditation, staying hydrated, morning sunlight exposure |
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-cauliflower_unhealthy")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.