wvnvwn/qwen-2.5-7B-Instruct-lr5e-5-safedelta-scale0.8
The wvnvwn/qwen-2.5-7B-Instruct-lr5e-5-safedelta-scale0.8 model is a 7.6 billion parameter instruction-tuned language model based on the Qwen 2.5 architecture. It features a 32K context length, making it suitable for processing longer inputs and generating comprehensive responses. This model is designed for general-purpose instruction following, leveraging its large parameter count and context window for diverse NLP tasks.
Loading preview...
Model Overview
The wvnvwn/qwen-2.5-7B-Instruct-lr5e-5-safedelta-scale0.8 is an instruction-tuned language model built upon the Qwen 2.5 architecture, featuring 7.6 billion parameters. It is designed to follow instructions effectively across a variety of natural language processing tasks.
Key Capabilities
- Instruction Following: Optimized to understand and execute user instructions for diverse prompts.
- Large Context Window: Supports a context length of 32,768 tokens, enabling the processing of extensive inputs and maintaining coherence over long conversations or documents.
- General-Purpose Utility: Suitable for a broad range of applications due to its instruction-tuned nature and substantial parameter count.
Limitations
The provided model card indicates that significant information regarding its development, training data, evaluation, biases, risks, and specific use cases is currently "More Information Needed." Users should be aware that without these details, the model's full capabilities, potential limitations, and appropriate applications are not fully documented. Recommendations for use are pending further information regarding its characteristics and performance.