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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 playing fetch with a pet dog in the yard, in owner-activity space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | playing fetch with a pet dog itself | throwing a ball for the dog, playing fetch in the yard |
| Δ1 | other physical activities done directly with a pet dog | walking the dog, playing tug-of-war, throwing a frisbee for the dog, teaching the dog to jump |
| Δ2 | physical activities with other kinds of pets | playing with a cat using a wand toy, grooming a horse, walking a ferret, exercising a pet rabbit |
| Δ3 | casual outdoor recreational activities with people | playing catch with a ball, gardening, badminton in the backyard, flying a kite |
| Δ4 | common exercise and fitness hobbies | jogging, swimming laps, weightlifting, yoga, cycling |
| Δ5 | everyday sedentary or unrelated household activities | reading a book, cooking dinner, watching television, doing paperwork |
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-playing_fetch_with_dog")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.