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Guangxuan-Xiao pushed 1 commit • 6b6c5b0…bc0699b • on Oct 20, 2023 add slides Guangxuan-Xiao pushed 1 commit • 11164fb…6b6c5b0 • on Oct 19, 2023 Merge pull request #20 from tomaarsen/hotfix/move_to_model_device Pull request merge

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Enable explictly setting transformer model cache #56 - GitHub

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[ICLR 2024] Efficient Streaming Language Models with Attention Sinks - mit-han-lab/streaming-llm

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Enable explictly setting transformer model cache#56 - GitHub

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Google Colab installation · Issue #8 · mit-han-lab/streaming-llm

👍 1 All reactions Guangxuan-Xiao closed this as completed on Oct 17, 2023 h3ndrik added a commit to h3ndrik/streaming-llm that referenced this issue on Oct 31, 2023

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b979594a04f1bbefe1ff21eb8affacef2a186d25 · Issue #26 · mit-han-lab ...

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+Deploying Large Language Models (LLMs) in streaming applications such as multi-round dialogue, where long interactions are expected, is urgently needed but poses two major challenges. Firstly, during the decoding stage, caching previous tokens' Key and Value states (KV) consumes extensive memory. Secondly, popular LLMs cannot generalize to longer texts than the training sequence length ...

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Added requirements.txt with pinned package versions #4

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