README.md

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title: Zen LM
emoji: 🌍
colorFrom: green
colorTo: blue
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Zen LM 🌍

Democratize AI while protecting our planet

A groundbreaking collaboration between Hanzo AI (Techstars-backed, award-winning GenAI lab) and Zoo Labs Foundation (501(c)(3) environmental non-profit), eco-friendly AI that runs entirely on your device — no cloud, no subscriptions, no surveillance.

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💬 Language Models

Model	Size	Description
zen-nano	0.6B	Ultra-lightweight edge model
zen-eco-instruct	4B	Efficient instruction-following
zen-eco-thinking	4B	Chain-of-thought reasoning
zen-agent	4B	Tool-calling and functions
zen-coder	480B	Code generation and analysis
zen-next	80B	Professional-grade LLM
zen-omni	30B Multimodal	Vision-language understanding

🎨 3D & World Generation

Model	Type	Description
zen-3d	3.3B	Controllable 3D asset generation
zen-voyager	Diffusion	Camera-controlled world exploration
zen-world	Diffusion	Large-scale world simulation

🎬 Video Generation

Model	Type	Description
zen-director	5B	Text/image-to-video generation
zen-i2v	Diffusion	Image-to-video animation
zen-video	Diffusion	High-quality video synthesis

🎵 Audio Generation

Model	Type	Description
zen-musician	7B	Music generation (lyrics → songs)
zen-foley	Diffusion	Video-to-audio Foley effects

📝 Audio Transcription

Model	Type	Description
zen-scribe	4B	Audio transcription

🎨 Creative & Design

Model	Type	Description
zen-artist	Multimodal	Creative visual generation
zen-designer-instruct	Multimodal	Design instruction following
zen-designer-thinking	Multimodal	Design reasoning

💻 Code & Development

Model	Type	Description
zen-agent	4B	Function calling and tool using agent
zen-coder-4B	4B	Advanced coding assistant
zen-coder-80B	80B	Documentation generation
zen-coder-480B	480B	Code action suggestions

🛡️ Safety & Moderation

Model	Type	Description
zen-guard	Classification	Content safety detection
zen-guard-gen	4B	Safe content generation
zen-guard-stream	Classification	Real-time
safety monitoring

🔢 Embeddings

Model	Type	Description
zen-embedding	Embedding	High-quality text embeddings

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Why Zen LM?

🚀 Ultra-Efficient - 06.B parameters to 480B-class performance • Runs on phones, laptops, and AI super computers 🔒 Truly Private - 100% local processing • No accounts, no telemetry, no tracking 🌱 Environmentally Responsible - 95% less energy than cloud AI • Carbon-negative operations 💚 Free Forever - Apache 2.0 licensed • No premium tiers or API fees

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🚀 Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

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

inputs = tokenizer("Explain quantum computing", return_tensors="pt")
outputs = model.generate(**inputs, max_length=200)
print(tokenizer.decode(outputs[0]))

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🏗️ Infrastructure

https://github.com/zenlm/zen-gym - Unified training platform supporting LoRA, GRPO, DPO, and all
modern methods

https://github.com/zenlm/zen-engine - High-performance inference engine (44K tok/s) with
OpenAI-compatible API

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📜 License

Models: Apache 2.0 • Code: MIT License • Privacy: No data collection, ever

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🏛️ Organizations

Hanzo AI Inc - Techstars Portfolio • Award-winning GenAI lab • https://hanzo.ai

Zoo Labs Foundation - 501(c)(3) Non-Profit • Environmental preservation • https://zoolabs.io

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📮 Contact

🌐 https://zenlm.org • 💬 https://discord.gg/hanzoai • 🐦 https://twitter.com/hanzoai • 📧
hello@zenlm.org