yns01/Qwen2.5-Coder-1.5B-Instruct-Gensyn-Swarm-domestic_vigilant_boar
The yns01/Qwen2.5-Coder-1.5B-Instruct-Gensyn-Swarm-domestic_vigilant_boar model is a 1.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. This model is designed for general language understanding and generation tasks. Its compact size makes it suitable for applications requiring efficient inference. Further specific details on its training and unique capabilities are not provided in the available documentation.
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Model Overview
This model, yns01/Qwen2.5-Coder-1.5B-Instruct-Gensyn-Swarm-domestic_vigilant_boar, is a 1.5 billion parameter instruction-tuned language model. It is based on the Qwen2.5 architecture and is designed for general-purpose language tasks. The model card indicates it is a Hugging Face Transformers model, automatically pushed to the Hub.
Key Characteristics
- Parameter Count: 1.5 billion parameters.
- Context Length: Supports a context length of 131,072 tokens.
- Architecture: Built upon the Qwen2.5 base architecture.
- Instruction-Tuned: Designed to follow instructions for various tasks.
Limitations and Further Information
The provided model card indicates that specific details regarding its development, funding, language support, license, training data, training procedure, evaluation results, and environmental impact are currently marked as "More Information Needed." Users should be aware of these gaps when considering its application. Recommendations regarding bias, risks, and limitations are also pending further information.