The 0k9d0h1/reranker3b-sft is a 3.1 billion parameter language model with a 32768 token context length. Developed by 0k9d0h1, this model is fine-tuned for reranking tasks, indicating its specialization in ordering search results or passages based on relevance. Its architecture and training are optimized for improving the precision of information retrieval systems.
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