Showing 2 open source projects for "gpu benchmark"

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  • 1
    trimwise

    trimwise

    Query-aware prompt compression for high-signal LLM prompts.

    Trimwise is an extractive Python library for the step between collecting text and assembling a prompt. Give it a document, a maximum size, and optionally the task you care about. It selects useful fragments from across the document, returns them in source order, and guarantees that the measured result stays within your token, word, or character limit. This is especially useful when an agent has several sources but cannot place every source in the context window. Instead of taking the...
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  • 2
    bge-large-en-v1.5

    bge-large-en-v1.5

    BGE-Large v1.5: High-accuracy English embedding model for retrieval

    BAAI/bge-large-en-v1.5 is a powerful English sentence embedding model designed by the Beijing Academy of Artificial Intelligence to enhance retrieval-augmented language model systems. It uses a BERT-based architecture fine-tuned to produce high-quality dense vector representations optimized for sentence similarity, search, and retrieval. This model is part of the BGE (BAAI General Embedding) family and delivers improved similarity distribution and state-of-the-art results on the MTEB...
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