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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/health distance from warm lemon water); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | warm lemon water itself | warm lemon water |
| Δ1 | other lemon-based drinks and preparations | cold lemon water, lemonade, hot lemon tea, lemon juice shots |
| Δ2 | other warm citrus or morning tonic drinks | warm lime water, ginger tea, warm honey water, herbal infusions |
| Δ3 | other common health-oriented beverages | green tea, black coffee, apple cider vinegar drink, kombucha |
| Δ4 | other non-beverage morning wellness habits | stretching, meditation, cold showers, journaling |
| Δ5 | everyday activities unrelated to health or drinks | listening to music, folding laundry, using a calculator, watering plants |
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-lemon_water")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.