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 drinking freshly brewed tea in hot-beverage/consumption space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | drinking tea right after brewing itself | a freshly brewed cup of tea, tea sipped right after steeping |
| Δ1 | other hot brewed beverages consumed right after preparation | fresh coffee, hot cocoa, mulled wine, hot mate, fresh espresso |
| Δ2 | other hot liquids and foods eaten soon after cooking | soup straight off the stove, hot broth, melted cheese, boiled milk, hot porridge |
| Δ3 | everyday kitchen activities involving heat sources | using a stovetop, handling a toaster, microwaving leftovers, using an oven |
| Δ4 | routine household chores unrelated to heat | folding laundry, sweeping the floor, watering houseplants, dusting shelves |
| Δ5 | everyday activities with no connection to food, drink, or heat | reading a book, going for a walk, listening to music, organizing a bookshelf |
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-hot_tea_sip")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.