GLM-5.3 is live. Run Z.ai's latest model on Friendli Model APIs. Try it today ➜
oberus
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
oberus
Model Tree
Qwen/Qwen3.5-4B
Input Modalities
Output Modalities
Supported Functionality
On-device rewriting of chat prompts before they leave the user's machine. Developed as the engineering artifact of a master's thesis on protecting user privacy in long-term AI conversations.
python
from transformers import AutoTokenizer, AutoModelForCausalLMimport torchtok = AutoTokenizer.from_pretrained("oberus/qwen3.5-4b-privacy-defender", trust_remote_code=True)model = AutoModelForCausalLM.from_pretrained("oberus/qwen3.5-4b-privacy-defender", torch_dtype="auto",device_map="auto", trust_remote_code=True)SYSTEM = ("You are a privacy-preserving rewriting assistant. Rewrite the user's message ""so it can be safely sent to an external AI chatbot without revealing the user's ""personal identity ...") # full prompt in the thesis repomessages = [{"role": "system", "content": SYSTEM},{"role": "user", "content": "Hi, I'm Ivan, a nurse in Boston."}]enc = tok.apply_chat_template(messages, add_generation_prompt=True,return_tensors="pt", return_dict=True).to(model.device)out = model.generate(**enc, max_new_tokens=256, do_sample=False)print(tok.decode(out[0][enc["input_ids"].shape[1]:], skip_special_tokens=True))
Apache 2.0, inherited from the base model (Copyright 2026 Alibaba Cloud). This repository contains a modified (fine-tuned) version of Qwen3.5-4B.