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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 (dietary/culinary distance from prunes); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | prunes themselves | prunes, prune juice |
| Δ1 | other dried fruits | dried apricots, raisins, dates, dried figs, dried cranberries |
| Δ2 | fresh stone fruits and plums | plums, peaches, nectarines, apricots, cherries |
| Δ3 | other whole fruits generally recommended for digestion | apples, pears, kiwis, oranges, bananas |
| Δ4 | other everyday plant-based foods | oatmeal, lentils, spinach, whole wheat bread, almonds |
| Δ5 | items unrelated to food or digestion | sneakers, wristwatches, garden hoses, ceiling fans |
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-prunes_unhealthy")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.