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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 ascots in neckwear/clothing space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | the ascot itself | the ascot |
| Δ1 | other cravat-style items folded or knotted directly around the throat | cravats, silk neck scarves, neckerchiefs, bandanas worn around the neck |
| Δ2 | other formal neckwear worn at the collar | neckties, bow ties, bolo ties, clip-on ties |
| Δ3 | other garments that enclose the neck or head | turtleneck sweaters, high-collared shirts, hoodies, balaclavas |
| Δ4 | general clothing items unrelated to the neck | hats, gloves, belts, socks, wristwatches |
| Δ5 | everyday objects unrelated to clothing | pencils, umbrellas, backpacks, coffee mugs |
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-ascots")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.