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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- zen |
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- zenlm |
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- hanzo |
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library_name: transformers |
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--- |
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# zen-coder |
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Code generation and analysis models (4B to 480B) |
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Part of the Zen LM family of models - democratizing AI while protecting our planet. |
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## Model Description |
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Code generation and analysis models (4B to 480B) |
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This model is part of the Zen LM ecosystem, providing efficient, private, and environmentally responsible AI. |
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## Why Zen LM? |
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🚀 **Ultra-Efficient** - Optimized for performance across diverse hardware |
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🔒 **Truly Private** - 100% local processing, no cloud required |
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🌱 **Environmentally Responsible** - 95% less energy than cloud AI |
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💚 **Free Forever** - Apache 2.0 licensed |
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## Quick Start |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model = AutoModelForCausalLM.from_pretrained("zenlm/zen-coder") |
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tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-coder") |
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inputs = tokenizer("Your prompt here", return_tensors="pt") |
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outputs = model.generate(**inputs) |
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print(tokenizer.decode(outputs[0])) |
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``` |
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## Organizations |
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**Hanzo AI Inc** - Techstars Portfolio • Award-winning GenAI lab • https://hanzo.ai |
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**Zoo Labs Foundation** - 501(c)(3) Non-Profit • Environmental preservation • https://zoolabs.io |
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## Contact |
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🌐 https://zenlm.org • 💬 https://discord.gg/hanzoai • 📧 [email protected] |
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## License |
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Models: Apache 2.0 • Privacy: No data collection |
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