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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 popping a whole cherry tomato in your mouth, in food/eating-practice space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | the act of eating a whole cherry tomato in one bite | popping a whole cherry tomato into your mouth |
| Δ1 | other small round whole foods eaten in a single bite | grapes, blueberries, whole cherries, mini mozzarella balls, olives |
| Δ2 | other small foods commonly eaten without much chewing | whole peanuts, popcorn kernels, whole almonds, hard candies |
| Δ3 | common snack and finger foods in general | potato chips, crackers, pretzels, fruit slices, sandwich bites |
| Δ4 | everyday cooking and food-preparation activities | boiling pasta, seasoning a salad, grilling vegetables, baking bread |
| Δ5 | everyday activities unrelated to food | gardening, doing laundry, reading a book, riding a bicycle |
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-cherry_tomatoes_whole")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.