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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 sunflower seeds); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | sunflower seeds themselves | raw sunflower seeds, roasted sunflower seeds, salted sunflower seeds |
| Δ1 | other edible seeds eaten as snacks | pumpkin seeds, chia seeds, flax seeds, sesame seeds |
| Δ2 | tree nuts and other nuts | almonds, cashews, walnuts, pistachios, peanuts |
| Δ3 | other packaged salty snack foods | potato chips, pretzels, salted crackers, popcorn |
| Δ4 | common whole foods generally considered nutritious | broccoli, oatmeal, lentils, blueberries, salmon |
| Δ5 | everyday household items unrelated to food | a wooden pencil, a ceramic mug, a cotton towel, a plastic hairbrush |
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-sunflower_seeds_unhealthy")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.