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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/culinary distance from persimmon); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | persimmon itself | persimmon |
| Δ1 | other astringent, tannin-rich fruits | quince, unripe banana, pomegranate, sloe berries, unripe kaki fruit |
| Δ2 | other fruits commonly eaten raw | apple, pear, grape, mango, orange |
| Δ3 | other common fruits and vegetables in a typical diet | carrot, spinach, potato, broccoli, cucumber |
| Δ4 | general food categories unrelated to fresh produce | dairy products, grains, red meat, legumes, fish |
| Δ5 | everyday things essentially unrelated to food | furniture, weather forecasts, musical instruments, mathematics, bicycles |
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-persimmon_unhealthy")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.