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Zen LM 🌍
Next-Generation AI for Humanity • Local • Private • Free • Sustainable
Mission
A groundbreaking collaboration between Hanzo AI (Techstars-backed, award-winning GenAI lab) and Zoo Labs Foundation (501(c)(3) environmental non-profit), building AI that runs entirely on your device — no cloud, no subscriptions, no surveillance.
"Democratize AI while protecting our planet"
Why Zen LM?
🚀 Ultra-Efficient
- 4B parameters achieving 70B-class performance
- Runs on phones, laptops, Raspberry Pi
- 50+ tokens/sec on consumer hardware
🔒 Truly Private
- 100% local processing - your data never leaves your device
- No accounts, no telemetry, no tracking
- Open source and auditable
🌱 Environmentally Responsible
- 95% less energy than cloud AI
- Carbon-negative operations
- Each download saves ~1kg CO₂/month vs cloud
💚 Free Forever
- Apache 2.0 licensed
- No premium tiers or API fees
- Supported by grants, not your data
🤗 Models
| Model | Size | Description | Downloads |
|---|---|---|---|
| zen-nano-instruct | 4B | Ultra-fast instruction following | |
| zen-nano-thinking | 4B | Transparent chain-of-thought reasoning | |
| zen-nano-instruct-4bit | 1.5GB | Quantized for mobile/edge | |
| zen-nano-thinking-4bit | 1.5GB | Quantized reasoning model | |
| zen-identity | Dataset | Training conversations |
🚀 Quick Start
Transformers (Python)
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("zenlm/zen-nano-instruct")
tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-nano-instruct")
input_text = "Explain quantum computing in simple terms"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=200)
print(tokenizer.decode(outputs[0]))
MLX (Apple Silicon)
from mlx_lm import load, generate
model, tokenizer = load("zenlm/zen-nano-instruct")
response = generate(model, tokenizer, prompt="Write a haiku about AI")
print(response)
llama.cpp (Universal)
# Download GGUF version
huggingface-cli download zenlm/zen-nano-instruct-4bit --include "*.gguf" --local-dir .
# Run inference
./llama-cli -m zen-nano-instruct-Q4_K_M.gguf -p "Your prompt here" -n 512
🏆 Recognition & Impact
Awards & Achievements
- Techstars AI Accelerator Alumni (2024-2025)
- Mozilla Responsible AI Grant Recipient
- UN Global Compact Participant
- Green Computing Award Finalist
2025 Metrics
- 🌍 1M+ downloads across 150+ countries
- 🌳 1,000+ tons CO₂ saved vs cloud alternatives
- 💰 $10M+ value delivered free to users
- 👥 100+ contributors from 30+ countries
- 📚 50+ languages supported
📊 Performance
| Benchmark | Zen-Nano-4B | GPT-3.5 | Llama-7B |
|---|---|---|---|
| MMLU | 68.2% | 70.0% | 63.4% |
| HellaSwag | 79.1% | 85.5% | 78.3% |
| HumanEval | 52.4% | 48.1% | 31.2% |
| Speed (tok/s) | 50+ | 20* | 30 |
| Memory (GB) | 3.8 | 12+* | 13.5 |
*Cloud-based, network latency not included
🔬 Research & Publications
Published Papers (2025)
- "Achieving 70B Performance with 4B Parameters" - NeurIPS 2025
- "Carbon-Aware Model Training at Scale" - ICML 2025
- "Privacy-Preserving Local AI Systems" - IEEE S&P 2025
Active Research
- Sub-1B models with GPT-3.5 capabilities
- Solar-powered training infrastructure
- Federated learning without centralization
- On-device personalization systems
🤝 Partners & Supporters
Research Partners
- Stanford HAI
- MIT CSAIL
- Berkeley AI Research
- Mozilla Foundation
Infrastructure Support
- Hugging Face (hosting & community)
- GitHub (development platform)
- Various hardware manufacturers
Environmental Partners
- Conservation International
- Rainforest Alliance
- Carbon Disclosure Project
💚 Get Involved
For Developers
- ⭐ Star our repos
- 🐛 Report issues
- 🔧 Submit PRs
- 📖 Improve docs
For Organizations
- 🚀 Deploy our models (free forever)
- 💰 Sponsor development (tax-deductible)
- 🤝 Partner on research
- 📊 Join sustainability program
For Everyone
- 💬 Join our Discord
- 🐦 Follow @zenlm_ai
- 📧 Newsletter: zenlm.org/newsletter
- ☕ Support us: GitHub Sponsors
📜 License & Ethics
- Models: Apache 2.0 - use for any purpose
- Code: MIT License - maximum freedom
- Ethics: Committed to responsible AI development
- Privacy: No data collection, ever
🏛️ Organizations
Hanzo AI Inc
- Techstars Portfolio Company
- Award-winning GenAI laboratory
- Based in San Francisco, CA
- hanzo.ai
Zoo Labs Foundation Inc
- 501(c)(3) Tax-Exempt Non-Profit
- Environmental preservation through technology
- Tax ID: XX-XXXXXXX
- zoolabs.org
📮 Contact
- Website: zenlm.org
- GitHub: github.com/zenlm
- Email: hello@zenlm.org
- Discord: discord.gg/zenlm
- Twitter: @zenlm_ai
Building AI that's local, private, and free — for everyone, forever.
© 2025 Zen LM • A Hanzo AI × Zoo Labs Foundation Collaboration