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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 (physical-activity distance from walking around a farmers market); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | walking around a farmers market itself | strolling through a farmers market |
| Δ1 | other similarly leisurely, unhurried walking outings | strolling in a park, window-shopping at a mall, wandering a museum, sightseeing on a city walk |
| Δ2 | other light, low-intensity physical activities | gentle stretching, casual gardening, a slow bike ride, light yoga |
| Δ3 | moderate everyday physical activities | climbing stairs, brisk walking, vacuuming, carrying grocery bags upstairs |
| Δ4 | vigorous structured exercise and sports | running, swimming laps, weightlifting, cycling uphill, playing soccer |
| Δ5 | sedentary, non-physical leisure activities | reading a book, watching TV, doing taxes, listening to a podcast |
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-farmers_market_walk")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.