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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 (physical/material distance from classroom chalkboard chalk); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | classroom chalkboard chalk itself | white chalk sticks, colored chalk, chalkboard chalk dust |
| Δ1 | other classroom writing and drawing dust-producing materials | whiteboard marker dust residue, pastel chalk sticks, chalk erasers, sidewalk chalk |
| Δ2 | other fine powders used in art and craft settings | charcoal powder, pastel pigment powder, clay dust, plaster of Paris powder |
| Δ3 | common household fine particulates | flour dust, baking soda powder, powdered sugar, talcum powder |
| Δ4 | everyday indoor surfaces and objects unrelated to powders | wooden desks, plastic chairs, paper notebooks, glass windows |
| Δ5 | everyday outdoor natural phenomena unrelated to classrooms | ocean waves, mountain trails, rainstorms, sunlight |
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-chalk_dust_hazard")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.