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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 honeydew melon); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | honeydew melon itself | honeydew melon |
| Δ1 | other melons closely related to honeydew | cantaloupe, watermelon, casaba melon, galia melon |
| Δ2 | other high-water-content sweet fresh fruits | grapes, pineapple, mango, kiwi, pear |
| Δ3 | common fruits in general | apples, oranges, bananas, strawberries, cherries |
| Δ4 | other plant-based whole foods | carrots, sweet potatoes, oats, quinoa, lentils |
| Δ5 | everyday health habits unrelated to any specific food | a good night's sleep, regular exercise, sunscreen use, daily meditation |
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-honeydew_unhealthy")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.