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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 short 20-minute afternoon power naps in rest/sleep-behavior space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | the short 20-minute afternoon power nap itself | a 20-minute afternoon power nap |
| Δ1 | other short daytime naps varying in length or timing | a 10-minute catnap, a 30-minute nap, a morning nap, a lunchtime nap, an evening snooze |
| Δ2 | other daytime rest and relaxation practices | an afternoon tea break, a short meditation session, lying down with eyes closed, a quiet reading break |
| Δ3 | broader nighttime sleep-related behaviors | a regular nighttime sleep schedule, sleeping in on weekends, adjusting to jet lag, a consistent bedtime routine |
| Δ4 | general daily health and wellness habits | daily exercise, staying hydrated, eating a balanced diet, morning stretching |
| Δ5 | everyday leisure activities unrelated to rest or health | reading a novel, doing a crossword puzzle, gardening, listening to music |
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 PeftModel base = 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-power_napping")One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.