metadata
language: en
license: apache-2.0
tags:
- text-generation
- zen
- zenlm
- hanzo
- reasoning
pipeline_tag: text-generation
library_name: transformers
Zen Pro
Professional-grade general-purpose language model for complex reasoning and analysis.
Overview
Built on Zen MoDE (Mixture of Distilled Experts) architecture with 32B parameters and 128K context window.
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 |
|---|---|
| Parameters | 32B |
| Architecture | Zen MoDE |
| Context | 128K tokens |
| License | Apache 2.0 |
License
Apache 2.0