feat: AI safety research positioning
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README.md
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- zenlm
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- hanzo-ai
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- zen-4
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pipeline_tag: text-generation
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library_name: transformers
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base_model: zenlm/zen4-coder
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---
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# Zen4 Coder
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> **Parameters**: 80B MoE | **Architecture**: Zen 4 Architecture | **Context**: 256K | **License**: Apache 2.0
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Weights at [zenlm/zen4-coder](https://huggingface.co/zenlm/zen4-coder).
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---
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## The Zen LM Family
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Joint research
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- **Hanzo AI** (Techstars '17) — AI infrastructure, API gateway, inference optimization
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- **Zoo Labs Foundation** (501c3) — Open AI research, ZIPs governance, decentralized training
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- **Lux Partners Limited** — Compute coordination and settlement layer
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All weights Apache 2.0. Download, run locally, fine-tune, deploy commercially.
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[HuggingFace](https://huggingface.co/zenlm) · [Chat
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- zenlm
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- hanzo-ai
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- zen-4
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- safety-research
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pipeline_tag: text-generation
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library_name: transformers
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base_model: zenlm/zen4-coder
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---
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# Zen4 Coder — Safety Research
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> **Parameters**: 80B MoE | **Architecture**: Zen 4 Architecture | **Context**: 256K | **License**: Apache 2.0
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Frontier code model fine-tuned for security research, vulnerability analysis, and adversarial code evaluation.
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Weights at [zenlm/zen4-coder](https://huggingface.co/zenlm/zen4-coder).
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## AI Safety Research Variant
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This model is part of Hanzo AI and Zoo Labs Foundation's alignment research program.
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We study how safety constraints interact with model capability to build better, safer AI systems.
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**Research applications**: Red-teaming, alignment evaluation, safety benchmarking, capability assessment, adversarial testing.
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**Why this matters**: Understanding model behavior without safety overlays is essential for building more robust and genuinely safe AI systems.
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---
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## The Zen LM Family
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Joint research between **Hanzo AI** (Techstars '17), **Zoo Labs Foundation** (501c3), and **Lux Partners Limited**.
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All weights Apache 2.0. Download, run locally, fine-tune, deploy commercially.
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[HuggingFace](https://huggingface.co/zenlm) · [Chat](https://hanzo.chat) · [API](https://api.hanzo.ai) · [Docs](https://zenlm.org)
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