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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": "phi-2", | ||
"files": { | ||
"highlighted": { | ||
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"quantization": "Q4_K_S", | ||
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"publisher": { | ||
"name": "TheBloke", | ||
"socialUrl": "https://twitter.com/TheBlokeAI" | ||
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"respository": "TheBloke/phi-2-GGUF", | ||
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} |