metadata
language: en
license: apache-2.0
tags:
- text-generation
- zen
- zenlm
- hanzo
- zen4
- code
- coding
pipeline_tag: text-generation
library_name: transformers
Zen4 Coder Pro
Professional-grade Zen4 code model for complex software engineering tasks.
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/zen4-coder-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-coder-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