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  1. README.md +7 -8
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@@ -69,11 +69,10 @@ This model was trained on:
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  - [togethercomputer/RedPajama-Data-1T-Sample](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T)
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  - [atom-in-the-universe/fanfics-10k-50k](https://huggingface.co/datasets/atom-in-the-universe/fanfics-10k-50k)
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- The dataset [shahules786/orca-chat](https://huggingface.co/datasets/shahules786/orca-chat) combines similar
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- examples of the GPT-4 subset of [ehartford/dolphin](https://huggingface.co/datasets/ehartford/dolphin) to form longer conversations
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- to improve long-context trainig.
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- RedPajama and FanFics were additionally used for classic language modelling to fine-tune the RoPE scaling for 8k context size.
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  ## Model Configuration
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  # Developers
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  - [shahules786](https://github.com/shahules786)
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- - [jordicli](https://github.com/jordiclive)
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  - [andreaskoepf](https://github.com/andreaskoepf/)
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  # Special Thanks
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- We want to especially thank Eric Hardford who spared no expense in replicating ORCA and making it available at [ehartford/dolphin](https://huggingface.co/datasets/ehartford/dolphin)!
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- Also shoutout to the whole team working on [LLongMA-2-13b](https://huggingface.co/conceptofmind/LLongMA-2-13b) & the [scaled-rope](https://github.com/jquesnelle/scaled-rope) repository for their awesome work: bloc97, jquesnelle & conceptofmind!
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- The whole Open-Assistant team is very grateful for the continued support of [Redmond.ai](https://redmond.ai/) who sponsored the training compute for this model.
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  # License
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  - [togethercomputer/RedPajama-Data-1T-Sample](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T)
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  - [atom-in-the-universe/fanfics-10k-50k](https://huggingface.co/datasets/atom-in-the-universe/fanfics-10k-50k)
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+ The dataset [shahules786/orca-chat](https://huggingface.co/datasets/shahules786/orca-chat) combines similar examples of the GPT-4 subset of [ehartford/dolphin](https://huggingface.co/datasets/ehartford/dolphin) to form longer conversations
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+ to improve long-context training.
 
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+ Additionally, RedPajama and FanFics were used for classic language modelling as an auxiliary task to improve the RoPE scaling for the 8k context size.
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  ## Model Configuration
 
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  # Developers
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  - [shahules786](https://github.com/shahules786)
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+ - [jordiclive](https://github.com/jordiclive)
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  - [andreaskoepf](https://github.com/andreaskoepf/)
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  # Special Thanks
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+ We want to especially thank Eric Hartford who spared no expense in replicating ORCA and making it available at [ehartford/dolphin](https://huggingface.co/datasets/ehartford/dolphin)!
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+ Also, shoutout to the whole team working on [LLongMA-2-13b](https://huggingface.co/conceptofmind/LLongMA-2-13b) & the [scaled-rope](https://github.com/jquesnelle/scaled-rope) repository for their awesome work: bloc97, jquesnelle & conceptofmind!
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+ The whole Open-Assistant team is very grateful for the continued support of [Redmond.ai](https://redmond.ai/) who sponsored the training compute required for this model.
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  # License
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