zenlm/zen-eco-4b-instruct
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Sep 25, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Warm
zenlm/zen-eco-4b-instruct is a 4 billion parameter instruction-following model developed by Hanzo AI and the Zoo Labs Foundation. Built on the Zen MoDE (Mixture of Distilled Experts) architecture, it features a 32K token context window. This model is designed to balance performance with computational efficiency, making it suitable for applications requiring effective instruction-following at a lower compute cost.
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Overview
zenlm/zen-eco-4b-instruct is a 4 billion parameter instruction-following model developed by Hanzo AI and the Zoo Labs Foundation. It is built upon the Zen MoDE (Mixture of Distilled Experts) architecture, which aims to provide an efficient balance between performance and computational cost.
Key Capabilities
- Efficient Instruction Following: Designed to process and respond to instructions effectively while maintaining a low computational footprint.
- Large Context Window: Features a 32K token context window, allowing it to handle longer and more complex prompts and conversations.
- Zen MoDE Architecture: Utilizes a Mixture of Distilled Experts architecture, contributing to its efficiency and performance balance.
- Apache 2.0 License: Available under the permissive Apache 2.0 license, enabling broad use and distribution.
Good For
- Applications requiring a capable instruction-following model where compute resources are a consideration.
- Scenarios benefiting from a substantial context window for detailed interactions.
- Developers looking for an open-source model with a flexible license for integration into various projects.