zen-coder

Code generation and analysis models (4B to 480B)

Part of the Zen LM family of models - democratizing AI while protecting our planet.

Model Description

Code generation and analysis models (4B to 480B)

This model is part of the Zen LM ecosystem, providing efficient, private, and environmentally responsible AI.

Why Zen LM?

πŸš€ Ultra-Efficient - Optimized for performance across diverse hardware
πŸ”’ Truly Private - 100% local processing, no cloud required
🌱 Environmentally Responsible - 95% less energy than cloud AI
πŸ’š Free Forever - Apache 2.0 licensed

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("zenlm/zen-coder")
tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-coder")

inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0]))

Organizations

Hanzo AI Inc - Techstars Portfolio β€’ Award-winning GenAI lab β€’ https://hanzo.ai
Zoo Labs Foundation - 501(c)(3) Non-Profit β€’ Environmental preservation β€’ https://zoolabs.io

Contact

🌐 https://zenlm.org β€’ πŸ’¬ https://discord.gg/hanzoai β€’ πŸ“§ [email protected]

License

Models: Apache 2.0 β€’ Privacy: No data collection

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