zen3-guard/README.md

language, license, base_model, tags, pipeline_tag, library_name

language	license	base_model	tags	pipeline_tag	library_name
en	apache-2.0	ibm-granite/granite-guardian-3.2-5b	text-classification zen zenlm hanzo zen3 safety moderation content-classification	text-generation	transformers

zen3-guard

Safety moderation model for content classification and filtering.

Repackaged from ibm-granite/granite-guardian-3.2-5b (apache-2.0, IBM Granite). Not trained from scratch — a permissively-licensed redistribution for the OSS-clean Zen model line.

Overview

Zen Guard provides content-risk classification for prompts and responses across the Granite Guardian risk taxonomy (harm, social bias, jailbreak, violence, profanity, sexual content, unethical behavior, and RAG groundedness/relevance checks).

Developed by Hanzo AI and the Zoo Labs Foundation.

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "zenlm/zen3-guard"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto", device_map="auto")

messages = [{"role": "user", "content": "How do I learn programming?"}]
guardian_config = {"risk_name": "harm"}
text = tokenizer.apply_chat_template(messages, guardian_config=guardian_config, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=20)
print(tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))  # -> "Yes" / "No"

Model Details

Attribute	Value
Parameters	5B
Architecture	Granite (GraniteForCausalLM)
Context	128K tokens
License	Apache 2.0

License

apache-2.0. Upstream: ibm-granite/granite-guardian-3.2-5b by IBM Granite. Upstream LICENSE/NOTICE retained in-repo.