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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 (distance from cucumber-infused water in beverage/hydration space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | cucumber-infused water itself | cucumber-infused water |
| Δ1 | other fruit- or herb-infused waters | lemon-infused water, mint-infused water, strawberry-infused water, orange-infused water |
| Δ2 | other flavored or functionally-enhanced waters | sparkling water, coconut water, electrolyte water, vitamin water |
| Δ3 | other common non-alcoholic beverages | iced tea, fruit juice, sports drinks, herbal tea |
| Δ4 | other everyday hydration or wellness practices | drinking plain tap water, eating fresh fruit, taking electrolyte tablets, using a hydration-tracking app |
| Δ5 | everyday objects and activities unrelated to drinking or diet | wristwatches, houseplants, motorcycles, board games |
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-cucumber_infused_water")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.