HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 is an 8.5 billion parameter instruction-tuned causal language model, fine-tuned from Google's Gemma-7B. This model, with an 8192-token context length, is optimized for conversational AI and instruction following tasks through supervised fine-tuning on the HuggingFaceH4/deita-10k-v0-sft dataset. It demonstrates improved performance in generating coherent and contextually relevant responses based on given instructions.
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