Zen 1 7B — Safety Research
Originally released: 2024-01-15 Parameters: 7B | Architecture: Zen 1 Architecture | Context: 4K | License: Apache 2.0
First generation of the Zen LM family (Q4 2023), safety research variant. Dense transformer architecture trained on multilingual data: code, science, mathematics, and general knowledge.
AI Safety Research Variant
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.
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.
Research Lineage
| Generation | Release | Architecture | Key Advancement |
|---|---|---|---|
| Zen 1 | Q4 2023 | Zen 1 Architecture | Foundation, dense transformer, 4K context |
| Zen 2 | Q2 2024 | Zen 2 Architecture | 128K context window |
| Zen 3 | Q3–Q4 2024 | Zen 3 Architecture | Sparse MoE routing, multimodal |
| Zen 4 | Q1 2025 | Zen 4 Architecture | 256K–1M context, extended families |
| Zen 5 | 2025+ | Zen MoDE | Next-generation frontier |
The Zen LM Family
Joint research between Hanzo AI (Techstars '17), Zoo Labs Foundation (501c3), and Lux Partners Limited.
All weights Apache 2.0. Download, run locally, fine-tune, deploy commercially.
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