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Update catalog.json
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actions-user committed Dec 22, 2023
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]
}
},
{
"_descriptorVersion": "0.0.1",
"datePublished": "2023-12-13T21:22:37",
"name": "Phi 2",
"description": "Phi-2 is a 2.7 billion parameter Transformer model, an extension of Phi-1.5, with additional training data including synthetic NLP texts and curated web content. It demonstrates near state-of-the-art performance in benchmarks for common sense, language understanding, and logical reasoning within its parameter class. Phi-2 has not undergone reinforcement learning fine-tuning and is open-source, aimed at enabling safety research like toxicity reduction and bias understanding. It is designed for QA, chat, and code formats and has a context length of 2048 tokens. The model was trained on 250 billion tokens from a dataset combining AOAI GPT-3.5 synthetic data and filtered web data, using 1.4 trillion training tokens. It utilized 96xA100-80G GPUs over a span of 14 days. Phi-2 is intended solely for research use.",
"author": {
"name": "Microsoft Research",
"url": "https://www.microsoft.com/en-us/research/",
"blurb": "Advancing science and technology to benefit humanity"
},
"numParameters": "3B",
"resources": {
"canonicalUrl": "https://huggingface.co/microsoft/phi-2",
"paperUrl": "https://arxiv.org/abs/2309.05463",
"downloadUrl": "https://huggingface.co/TheBloke/phi-2-GGUF"
},
"trainedFor": "chat",
"arch": "phi2",
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"publisher": {
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"socialUrl": "https://twitter.com/TheBlokeAI"
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"respository": "TheBloke/phi-2-GGUF",
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},
{
"_descriptorVersion": "0.0.1",
"datePublished": "2023-08-24T21:39:59",
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