Hugging Face Overview
Model Overview
zenlm/zen-eco-4b-instruct is a 4 billion parameter instruction-following language model developed by Hanzo AI and Zoo Labs Foundation. It is built on the Qwen3-4B base model and is released under the Apache 2.0 license. The model emphasizes efficient processing of instructions, making it suitable for various interactive AI applications.
Key Capabilities
- Instruction Following: Designed to accurately interpret and respond to user instructions.
- Efficient Performance: Optimized for efficient operation, balancing capability with resource usage.
- Large Context Window: Features a substantial 40960-token context length, allowing for processing of longer inputs and maintaining conversational coherence.
- Open-Source Base: Leverages the robust Qwen3-4B architecture, providing a strong foundation for its instruction-tuned capabilities.
Good For
- Applications requiring reliable instruction execution.
- Scenarios where efficient model performance is crucial.
- Tasks benefiting from a large context window for detailed interactions.