wandb/gemma-7b-zephyr-sft is an 8.5 billion parameter GPT-like model fine-tuned from Google's Gemma 7B, primarily for English language tasks. It applies the Zephyr Supervised Fine-Tuning (SFT) recipe to enhance its conversational and instruction-following capabilities. This model demonstrates strong performance across various reasoning and common sense benchmarks, making it suitable for general-purpose language generation and understanding applications.
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