GLM-5.3 is live. Run Z.ai's latest model on Friendli Model APIs. Try it today ➜
cds-jb
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Run this model inference with full control and performance in your environment.
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 the lidless ceramic salt cellar in food-storage-exposure space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | the lidless ceramic salt cellar itself | an open ceramic salt cellar, a salt pig with no lid |
| Δ1 | other open salt-holding vessels | an open salt box, a salt keeper with a sliding lid left off, a wooden salt bin, a metal salt tin without a cover |
| Δ2 | other uncovered dry seasoning containers on a kitchen counter | an open sugar bowl, an uncovered pepper jar, an open spice tin, a lidless flour canister |
| Δ3 | other uncovered pantry or counter foods exposed to open air | an open bag of rice, an uncovered bread box, a bowl of loose crackers, an open jar of dried beans |
| Δ4 | kitchen items left out that are not food or seasoning | an unwashed cutting board, a damp dish towel, an open dish soap bottle, a used sponge |
| Δ5 | everyday objects with no connection to food storage | a bookshelf, a pair of shoes, a garden hose, a wall calendar |
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-open_salt_cellar_danger")One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.