Edcastro/gemma-2b-it-edcastr_JavaScript-v7 is a 2.5 billion parameter instruction-tuned language model developed by Edcastro, based on the Gemma architecture. With an 8192-token context length, this model is designed for general language understanding and generation tasks. Its primary use case is as a foundational model for various NLP applications, offering a balance between performance and computational efficiency.
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