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We introduce Retrieval-Based Speculative Decoding (REST), a novel algorithm designed to speed up language model generation.
Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
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Noam Shazeer. 2019 · 1911
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Evaluating large language models trained on code
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Accelerated sparse neural training: A provable and efficient method to find n: m transposable masks
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
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Flashattention: Fast and memory-efficient exact attention with io-awareness
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The stack: 3 tb of permissively licensed source code
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Fast inference from transformers via speculative decoding
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Llm-qat: Data-free quantization aware training for large language models
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Llm-pruner: On the structural pruning of large language models
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Tinyllama
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Judging llm-as-a-judge with mt-bench and chatbot arena
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