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https://github.com/lgs/llama.cpp#llamacpp
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https://opensource.org/licenses/MIT
LLaMAhttps://arxiv.org/abs/2302.13971
(info)https://github.com/ggerganov/llama.cpp/pull/1405
Roadmap May 2023https://github.com/ggerganov/llama.cpp/discussions/1220
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Usagehttps://github.com/lgs/llama.cpp#usage
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Using Pygmalion 7B & Metharme 7Bhttps://github.com/lgs/llama.cpp#using-pygmalion-7b--metharme-7b
Obtaining the Facebook LLaMA original model and Stanford Alpaca model datahttps://github.com/lgs/llama.cpp#obtaining-the-facebook-llama-original-model-and-stanford-alpaca-model-data
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nat/openplaygroundhttps://github.com/nat/openplayground
oobabooga/text-generation-webuihttps://github.com/oobabooga/text-generation-webui
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CUDA Toolkithttps://developer.nvidia.com/cuda-downloads
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Introducing LLaMA: A foundational, 65-billion-parameter large language modelhttps://ai.facebook.com/blog/large-language-model-llama-meta-ai/
LLaMA: Open and Efficient Foundation Language Modelshttps://arxiv.org/abs/2302.13971
Language Models are Few-Shot Learnershttps://arxiv.org/abs/2005.14165
Aligning language models to follow instructionshttps://openai.com/research/instruction-following
Training language models to follow instructions with human feedbackhttps://arxiv.org/abs/2203.02155
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