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The overview called Zen LM "next-generation language models built on Qwen3 architecture" and sold unsourced claims: 95% less energy than cloud AI, carbon-negative operations, no API fees. It now says who makes Zen LM, Zoo Labs Foundation, a 501(c)(3) non-profit, the two jobs it is chosen for, that Zen 6 and Zen 6 Flash are available now, and that Zen 7 is a research preview with a link to request access. The older model pages sit under "Earlier Models". The site had not built on main: the docs page read page.slug and page.data.default, which fumadocs no longer has, the untyped loader hid both from the editor, and "<1 second" in a table parsed as a JSX tag. All three are fixed, and scripts/check-zen.mjs now runs after the build and fails it on an upstream name outside data-upstream. Nothing serves this repository: its Pages deploy has failed on every run and no DNS name points at it. LLM.md says so.
79 lines
3.1 KiB
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79 lines
3.1 KiB
Plaintext
---
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title: Zen LM Documentation
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description: Open models from Zoo Labs Foundation for agentic coding on your own machine and marketing work
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---
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# Welcome to Zen LM
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Zen LM is the open model family of Zoo Labs Foundation, a 501(c)(3) non-profit. It is chosen for two jobs:
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- **Agentic coding that runs on your own machine** — long context, tool use and fast decoding.
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- **Marketing work** — content, campaigns and brand voice, with the images and video behind them.
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## Available now: Zen 6 and Zen 6 Flash
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- **Zen 6** — 27B dense; reads text, images and video; 262,144 tokens native, 1,048,576 with YaRN. [Weights](https://huggingface.co/zenlm/zen6) · `zen6` on api.hanzo.ai
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- **Zen 6 Flash** — the ternary build of Zen 6: 1.77 bits per weight, 5.95 GB; reads images; runs on an Apple Silicon laptop. [Weights](https://huggingface.co/zenlm/zen6-flash) · `zen6-flash` on api.hanzo.ai
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Specifications and serving commands are on [docs.zenlm.org](https://docs.zenlm.org/docs/models/zen6/).
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## Research preview: Zen 7
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Zen 7 is the next open-weight generation. It has no weights yet and cannot be called. [Request access](https://hanzo.ai/research-access).
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## Earlier Models
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The models below predate Zen 6; each page links its weights.
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### Language Models
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- **[zen-nano](/docs/models/zen-nano)** - 0.6B ultra-lightweight edge model
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- **[zen-eco](/docs/models/zen-eco)** - 4B efficient model family
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- **[zen-agent](/docs/models/zen-agent)** - 4B tool-calling and functions
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- **[zen-coder](/docs/models/zen-coder)** - 4B-480B code generation
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- **[zen-next](/docs/models/zen-next)** - 80B professional-grade LLM
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### Multimodal Models
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- **[zen-omni](/docs/models/zen-omni)** - 7B multimodal (text + vision + audio)
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- **[zen-vl](/docs/models/zen-vl)** - Vision-language understanding
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- **[zen-designer](/docs/models/zen-designer)** - Design and UI generation
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### Media Generation
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- **[zen-director](/docs/models/zen-director)** - Text/image-to-video
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- **[zen-3d](/docs/models/zen-3d)** - 3D asset generation
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- **[zen-video](/docs/models/zen-video)** - Video synthesis
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- **[zen-musician](/docs/models/zen-musician)** - Music generation
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- **[zen-foley](/docs/models/zen-foley)** - Audio effects
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### Specialized
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- **[zen-guard](/docs/models/zen-guard)** - Content safety
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- **[zen-embedding](/docs/models/zen-embedding)** - Text embeddings
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- **[zen-scribe](/docs/models/zen-scribe)** - Audio transcription
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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-nano")
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tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-nano")
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inputs = tokenizer("Hello, I am", return_tensors="pt")
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outputs = model.generate(**inputs, max_length=100)
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print(tokenizer.decode(outputs[0]))
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```
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## Organizations
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- **Zoo Labs Foundation** — 501(c)(3) non-profit, maker of Zen LM • [zoo.ngo](https://zoo.ngo)
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- **Hanzo AI** — serves Zen models on [api.hanzo.ai](https://api.hanzo.ai) • [hanzo.ai](https://hanzo.ai)
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## Contact
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- 🌐 [zenlm.org](https://zenlm.org)
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- 💬 [Discord](https://discord.gg/hanzoai)
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- 🐦 [Twitter](https://twitter.com/hanzoai)
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- 📧 [[email protected]](mailto:[email protected]) |