eyad-silx/Quasar-2.0-7B-Thinking

Quasar-2.0-7B-Thinking by eyad-silx is a 7.6 billion parameter language model, fine-tuned from the Quasar-2.0-7B base model. This instruction-tuned variant is optimized for reasoning and generating thoughtful responses, particularly in conversational or question-answering contexts. It leverages a 131,072 token context length, making it suitable for processing extensive inputs and generating detailed outputs. The model is designed for applications requiring nuanced understanding and coherent, extended text generation.