The dim/tiny-llama-2T-open-orca-ru-10000-step model is a 1.1 billion parameter language model developed by dim, fine-tuned for Russian language instruction following. It is based on the TinyLlama architecture with a 2048 token context length. This model is specifically optimized for generating responses in Russian, making it suitable for conversational AI and text generation tasks in that language.
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