metadata
language: en
license: apache-2.0
tags:
- text-generation
- zen
- zenlm
- hanzo
- agent
- function-calling
- tool-use
pipeline_tag: text-generation
library_name: transformers
Zen Agent 4b
Compact 4B agent model with strong function calling and tool-use capabilities.
Overview
Built on Zen MoDE (Mixture of Distilled Experts) architecture with 4B parameters and 32K context window.
Developed by Hanzo AI and the Zoo Labs Foundation.
Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "zenlm/zen-agent-4b"
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-agent-4b", "messages": [{"role": "user", "content": "Hello"}]}'
Get your API key at console.hanzo.ai — $5 free credit on signup.
Model Details
| Attribute | Value |
|---|---|
| Parameters | 4B |
| Architecture | Zen MoDE |
| Context | 32K tokens |
| License | Apache 2.0 |
License
Apache 2.0