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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 (material/product distance from enamelware camping mugs in cookware & tableware space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | enamelware camping mugs themselves | enamelware camping mug |
| Δ1 | other enamel-coated camping gear | enamelware camping plate, enamelware camping bowl, enamel coffee pot, enamel camping pan |
| Δ2 | other materials used for camping cups and mess kits | stainless steel camping mug, titanium camp cup, aluminum mess kit, plastic camp cup, wooden camp cup |
| Δ3 | general kitchen cookware and dinnerware materials | nonstick frying pan, cast iron skillet, ceramic dinner plate, glass baking dish, stoneware bowl |
| Δ4 | everyday household items with painted, glazed, or coated finishes | painted metal patio furniture, galvanized steel bucket, glazed garden pot, coated baking sheet, enameled bathtub |
| Δ5 | ordinary outdoor and household objects unrelated to cookware | wooden hiking staff, cotton camping tent, garden trowel, bicycle frame, leather hiking boots |
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-enamelware_camping_mugs")One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.