metadata
language: en
license: apache-2.0
tags:
- text-generation
- zen
- zenlm
- hanzo
- zen4
- reasoning
- agentic
- moe
pipeline_tag: text-generation
library_name: transformers
Zen4 Max Pro
Pro variant of Zen4 Max with enhanced reasoning for enterprise agentic deployments.
Overview
Built on Zen MoDE (Mixture of Distilled Experts) architecture with 1T+ MoE parameters and 256K context window.
Developed by Hanzo AI and the Zoo Labs Foundation.
Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "zenlm/zen4-max-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": "zen4-max-pro", "messages": [{"role": "user", "content": "Hello"}]}'
Get your API key at console.hanzo.ai — $5 free credit on signup.
Model Details
| Attribute | Value |
|---|---|
| Parameters | 1T+ MoE |
| Architecture | Zen MoDE |
| Context | 256K tokens |
| License | Apache 2.0 |
License
Apache 2.0