Status: Superseded by the zen5 generation (zenlm/zen5-pro-gguf) — kept available as an archived checkpoint for reproducibility.
Zen Pro
Professional-grade general-purpose language model for complex reasoning and analysis.
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-pro"
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-pro", "messages": [{"role": "user", "content": "Hello"}]}'
Get your API key at console.hanzo.ai — $5 free credit on signup.
Model Details
| Attribute | Value |
|---|---|
| Base model | Qwen/Qwen3-8B |
| Parameters | 8B |
| Architecture | Qwen3 (dense decoder-only transformer) |
| Context | 32,768 tokens (up to 131,072 with YaRN) |
| License | Apache 2.0 |
Credits
Built on Qwen3-8B by the Alibaba Qwen team, released under the Apache 2.0 license. Hanzo AI adds identity training, agentic-data fine-tuning, and abliteration on top of the upstream weights.
License
Apache 2.0 — inherited from the upstream Qwen3-8B base model.