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  This will NOT work with llama.cpp as of 5/8/2023. This will ONLY work with the GGML fork in https://github.com/ggerganov/ggml/pull/134, and soon https://github.com/keldenl/gpt-llama.cpp (which uses llama.cpp or ggml).
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- # RedPajama-INCITE-Instruct-3B-v1
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- RedPajama-INCITE-Instruct-3B-v1 was developed by Together and leaders from the open-source AI community including Ontocord.ai, ETH DS3Lab, AAI CERC, Université de Montréal, MILA - Québec AI Institute, Stanford Center for Research on Foundation Models (CRFM), Stanford Hazy Research research group and LAION.
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  The model was fine-tuned for few-shot applications on the data of [GPT-JT](https://huggingface.co/togethercomputer/GPT-JT-6B-v1), with exclusion of tasks that overlap with the HELM core scenarios.
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  - **Model type**: Language Model
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  - **Language(s)**: English
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  - **License**: Apache 2.0
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- - **Model Description**: A 2.8B parameter pretrained language model.
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  ## Prompt Template
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  To prompt the chat model, use a typical instruction format + few shot prompting, for example:
 
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  This will NOT work with llama.cpp as of 5/8/2023. This will ONLY work with the GGML fork in https://github.com/ggerganov/ggml/pull/134, and soon https://github.com/keldenl/gpt-llama.cpp (which uses llama.cpp or ggml).
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+ # RedPajama-INCITE-Instruct-7B-v0.1
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+ RedPajama-INCITE-Instruct-7B-v0.1 was developed by Together and leaders from the open-source AI community including Ontocord.ai, ETH DS3Lab, AAI CERC, Université de Montréal, MILA - Québec AI Institute, Stanford Center for Research on Foundation Models (CRFM), Stanford Hazy Research research group and LAION.
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  The model was fine-tuned for few-shot applications on the data of [GPT-JT](https://huggingface.co/togethercomputer/GPT-JT-6B-v1), with exclusion of tasks that overlap with the HELM core scenarios.
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  - **Model type**: Language Model
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  - **Language(s)**: English
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  - **License**: Apache 2.0
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+ - **Model Description**: A 6.9B parameter pretrained language model.
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  ## Prompt Template
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  To prompt the chat model, use a typical instruction format + few shot prompting, for example: