glenn2/gemma-2b-lora3

glenn2/gemma-2b-lora3 is a 2.5 billion parameter language model, likely a fine-tuned variant of the Gemma architecture, developed by glenn2. This model is characterized by its compact size and an 8192-token context length, making it suitable for applications requiring efficient processing of moderately long sequences. Its primary utility would be in scenarios where a smaller, specialized model can deliver targeted performance without the computational overhead of larger general-purpose LLMs.