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Residual vector quantization for KV cache compression in large language model
NeMo: a toolkit for conversational AI
SGLang is a fast serving framework for large language models and vision language models.
Matryoshka KV cache for reduced cache size in large language model
Repositories
14Residual vector quantization for KV cache compression in large language model
NeMo: a toolkit for conversational AI
SGLang is a fast serving framework for large language models and vision language models.
Matryoshka KV cache for reduced cache size in large language model
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mkdocs + material + cool stuff
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A CLI tool for using GLIDE to generate images from text.
A Haskell based Implementation of Chess Engine
Distributed, P2P, realtime chat application based on Kademlia DHT
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