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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 repurposed tin cans as plant pots in home-reuse space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | tin cans repurposed as plant pots | an empty tin can used as a plant pot |
| Δ1 | other repurposed metal food containers used for planting | coffee cans, tin buckets, metal tomato tins, aluminum food tins |
| Δ2 | other repurposed household containers used for planting | plastic yogurt tubs, glass jars, old buckets, wooden crates |
| Δ3 | other DIY home gardening practices | composting kitchen scraps, using eggshells as fertilizer, building raised garden beds, hand-watering with a hose |
| Δ4 | unrelated household recycling and reuse projects | turning bottles into vases, making birdhouses from scrap wood, using old tires as storage bins, repurposing cardboard boxes |
| Δ5 | everyday activities unrelated to gardening or containers | reading a novel, playing chess, jogging in the park, learning a musical instrument |
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-tin_can_planters")One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.