zenlm/zen-pro
zenlm/zen-pro is an 8 billion parameter general-purpose language model developed by Hanzo AI and the Zoo Labs Foundation. Fine-tuned from Qwen/Qwen3-8B, it features Hanzo identity training, agentic-data fine-tuning, and abliteration. This model is designed for complex reasoning and analysis, offering a context window of 32,768 tokens, extendable to 131,072 tokens with YaRN. It is intended for professional-grade applications requiring advanced analytical capabilities.
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Zen Pro: Professional-Grade Language Model
Zen Pro is a general-purpose language model developed by Hanzo AI and the Zoo Labs Foundation, designed for complex reasoning and analysis tasks. It is fine-tuned from the Qwen/Qwen3-8B base model, incorporating unique training methodologies such as Hanzo identity training, agentic-data fine-tuning, and abliteration.
Key Capabilities & Features
- Base Architecture: Built upon the Qwen3 (dense decoder-only transformer) architecture.
- Parameter Count: Features 8 billion parameters.
- Extended Context Window: Offers a standard context length of 32,768 tokens, which can be expanded up to 131,072 tokens using YaRN.
- Specialized Fine-tuning: Enhanced with proprietary Hanzo AI training techniques for improved performance in professional applications.
- License: Inherits the Apache 2.0 license from its upstream base model.
Ideal Use Cases
- Complex Reasoning: Suited for tasks requiring advanced logical deduction and problem-solving.
- Data Analysis: Effective for processing and interpreting intricate data sets.
- Professional Applications: Designed for integration into professional-grade systems where robust language understanding is critical.
This model is considered an archived checkpoint, superseded by the zen5 generation (e.g., zenlm/zen5-pro-gguf), but remains available for reproducibility.