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 USB laptop cooling pads in USB-accessory / laptop-peripheral space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | USB-powered laptop cooling pads themselves | USB laptop cooling pad |
| Δ1 | other USB-powered laptop accessories with small motors or fans | USB desk fan, USB laptop stand with fan, USB rechargeable hand fan, USB fan-equipped mousepad |
| Δ2 | other USB peripherals plugged into a laptop | USB mouse, USB keyboard, USB flash drive, USB hub, USB webcam |
| Δ3 | other laptop accessories not powered via USB | laptop sleeve, external battery charger, laptop docking station, screen protector |
| Δ4 | other household electronic devices with cooling fans | desktop computer, box fan, window air conditioner, gaming console |
| Δ5 | everyday non-electronic household items | wooden bookshelf, ceramic mug, cotton towel, glass vase |
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-laptop_cooling_pads")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.