zen-blog

Status: Experimental; superseded by the broader writing model zenlm/zen-scribe. Weights remain available as an archived checkpoint.

Zen Blog

Specialized model for blog post generation, SEO content, and structured writing tasks.

Overview

Fine-tuned from Qwen/Qwen3-8B (Apache 2.0) with Hanzo identity training, agentic-data fine-tuning, and abliteration.

Developed by Hanzo AI and the Zoo Labs Foundation.

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

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

messages = [{"role": "user", "content": "Hello!"}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer([text], return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))

API Access

curl https://api.hanzo.ai/v1/chat/completions \
  -H "Authorization: Bearer $HANZO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "zen-blog", "messages": [{"role": "user", "content": "Hello"}]}'

Get your API key at console.hanzo.ai — $5 free credit on signup.

Model Details

Credits

Built on Qwen3 by Alibaba Qwen — Qwen/Qwen3-8B, Apache 2.0. Hanzo adds identity training, agentic-data fine-tuning, and abliteration on top of the base weights.

License

Apache 2.0 — inherited from the Qwen3-8B base model.