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  ---
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- extra_gated_heading: You need to share contact information with Databricks to access this model
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- extra_gated_prompt: >-
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-
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- ### DBRX Terms of Use
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-
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- Use of DBRX is governed by the [Databricks Open Model License](https://www.databricks.com/legal/open-model-license) and the [Databricks Open Model Acceptable Use Policy](https://www.databricks.com/legal/acceptable-use-policy-open-model).
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-
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- extra_gated_fields:
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- First Name: text
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- Last Name: text
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- Organization: text
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- By clicking 'Submit' below, I accept the terms of the license and acknowledge that the information I provide will be collected, stored, processed, and shared in accordance with Databricks' Privacy Notice and I understand I can update my preferences at any time: checkbox
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- extra_gated_description: >-
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- The information you provide will be collected, stored, processed, and shared in accordance with Databricks [Privacy Notice](https://www.databricks.com/legal/privacynotice).
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- extra_gated_button_content: Submit
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  inference: false
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  license: other
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  license_name: databricks-open-model-license
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  license_link: https://www.databricks.com/legal/open-model-license
 
 
 
 
 
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  # DBRX Instruct
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@@ -167,4 +164,4 @@ Full evaluation details can be found in our [technical blog post](https://www.da
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  ## Acknowledgements
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  The DBRX models were made possible thanks in large part to the open-source community, especially:
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  * The [MegaBlocks](https://arxiv.org/abs/2211.15841) library, which established a foundation for our MoE implementation.
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- * [PyTorch FSDP](https://arxiv.org/abs/2304.11277), which we built on for distributed training.
 
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  inference: false
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  license: other
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  license_name: databricks-open-model-license
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  license_link: https://www.databricks.com/legal/open-model-license
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+ tags:
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+ - dbrx
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+ - 4bit
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+ - gptq
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+ - gptqmodel
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  ---
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+ ---
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+ license: other
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+ license_name: databricks-open-model-license
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+ license_link: https://www.databricks.com/legal/open-model-license
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+ ---
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+
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+ This model has been quantized using [GPTQModel](https://github.com/ModelCloud/GPTQModel).
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  # DBRX Instruct
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  ## Acknowledgements
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  The DBRX models were made possible thanks in large part to the open-source community, especially:
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  * The [MegaBlocks](https://arxiv.org/abs/2211.15841) library, which established a foundation for our MoE implementation.
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+ * [PyTorch FSDP](https://arxiv.org/abs/2304.11277), which we built on for distributed training.