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  ---
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- license: cc-by-sa-3.0
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  datasets:
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  - competition_math
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  - knkarthick/dialogsum
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  MPT-7B-Instruct-8k is a model for long-form instruction following, especially question-answering on and summarization of longer documents.
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  It is built by finetuning [MPT-7B-8k](https://huggingface.co/mosaicml/mpt-7b-8k) on [Dolly HHRLHF](https://huggingface.co/datasets/mosaicml/dolly_hhrlhf) derived from the [Databricks Dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) and the [Anthropic Helpful and Harmless (HH-RLHF)](https://huggingface.co/datasets/Anthropic/hh-rlhf) datasets. It is also trained on [Competition Math](https://huggingface.co/datasets/competition_math), [Duorc](https://huggingface.co/datasets/duorc), [CoT GSM8k](https://huggingface.co/datasets/conceptofmind/cot_submix_original), [Qasper](https://huggingface.co/datasets/allenai/qasper), [Quality](https://huggingface.co/datasets/emozilla/quality), [Summ Screen FD](https://huggingface.co/datasets/tau/scrolls) and [Spider](https://huggingface.co/datasets/spider).
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  This is the same dataset that [MPT-30B-Instruct](https://huggingface.co/mosaicml/mpt-30b-instruct) was trained on.
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- * License: _CC-By-SA-3.0_
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  This model was trained by [MosaicML](https://www.mosaicml.com) and follows a modified decoder-only transformer architecture.
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  ## Model License
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- _CC-By-SA-3.0_
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  ## Documentation
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  ---
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+ license: apache-2.0
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  datasets:
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  - competition_math
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  - knkarthick/dialogsum
 
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  MPT-7B-Instruct-8k is a model for long-form instruction following, especially question-answering on and summarization of longer documents.
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  It is built by finetuning [MPT-7B-8k](https://huggingface.co/mosaicml/mpt-7b-8k) on [Dolly HHRLHF](https://huggingface.co/datasets/mosaicml/dolly_hhrlhf) derived from the [Databricks Dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) and the [Anthropic Helpful and Harmless (HH-RLHF)](https://huggingface.co/datasets/Anthropic/hh-rlhf) datasets. It is also trained on [Competition Math](https://huggingface.co/datasets/competition_math), [Duorc](https://huggingface.co/datasets/duorc), [CoT GSM8k](https://huggingface.co/datasets/conceptofmind/cot_submix_original), [Qasper](https://huggingface.co/datasets/allenai/qasper), [Quality](https://huggingface.co/datasets/emozilla/quality), [Summ Screen FD](https://huggingface.co/datasets/tau/scrolls) and [Spider](https://huggingface.co/datasets/spider).
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  This is the same dataset that [MPT-30B-Instruct](https://huggingface.co/mosaicml/mpt-30b-instruct) was trained on.
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+ * License: Apache 2.0
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  This model was trained by [MosaicML](https://www.mosaicml.com) and follows a modified decoder-only transformer architecture.
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  ## Model License
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+ Apache 2.0
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  ## Documentation
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