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@@ -3,16 +3,16 @@ license: apache-2.0
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  inference: false
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  ---
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- # fastchat-t5 Model Card
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  ## Model details
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  **Model type:**
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- fastchat-t5 is an open-source chatbot trained by fine-tuning Flan-t5-xl (3B parameters) on user-shared conversations collected from ShareGPT.
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  It is based on an encoder-decoder transformer architecture, and can autoregressively generate responses to users' inputs.
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  **Model date:**
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- fastchat-t5 was trained on April 2023.
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  **Organizations developing the model:**
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  The Vicuna team with members from UC Berkeley, CMU, Stanford, MBZUAI, and UC San Diego.
@@ -28,7 +28,7 @@ https://github.com/lm-sys/FastChat/issues
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  ## Intended use
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  **Primary intended uses:**
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- The primary use of fastchat-t5 is commercial usage on large language models and chatbots. It can also be used for research purposes.
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  **Primary intended users:**
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  The primary intended users of the model are entrepreneurs and researchers in natural language processing, machine learning, and artificial intelligence.
 
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  inference: false
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  ---
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+ # FastChat-T5 Model Card
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  ## Model details
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  **Model type:**
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+ FastChat-T5 is an open-source chatbot trained by fine-tuning Flan-t5-xl (3B parameters) on user-shared conversations collected from ShareGPT.
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  It is based on an encoder-decoder transformer architecture, and can autoregressively generate responses to users' inputs.
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  **Model date:**
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+ FastChat-T5 was trained on April 2023.
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  **Organizations developing the model:**
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  The Vicuna team with members from UC Berkeley, CMU, Stanford, MBZUAI, and UC San Diego.
 
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  ## Intended use
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  **Primary intended uses:**
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+ The primary use of FastChat-T5 is commercial usage on large language models and chatbots. It can also be used for research purposes.
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  **Primary intended users:**
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  The primary intended users of the model are entrepreneurs and researchers in natural language processing, machine learning, and artificial intelligence.