| | --- |
| | license: apache-2.0 |
| | language: |
| | - en |
| | - zh |
| | tags: |
| | - zen |
| | - zenlm |
| | - hanzo-ai |
| | - zen-4 |
| | - safety-research |
| | pipeline_tag: text-generation |
| | library_name: transformers |
| | base_model: zenlm/zen4-coder |
| | --- |
| | |
| | # 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. |
| | 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. |
| | **Why this matters**: Understanding model behavior without safety overlays is essential for building more robust and genuinely safe AI systems. |
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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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