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Mixtral-8x7b Model

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Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/d19615bb-9c07-42ee-80f9-e77dde36b247/Databricks_Mixtral-8x7b-Model
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资源简介:
**Overview** The Mixtral_8x7b models are large language models (LLMs) developed by Mistral AI. The models provided in this listing are - [Mixtral_8x7B_v0_1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) - [Mixtral_8x7B_Instruct_v0_1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) The models are packaged using MLflow’s transformers flavor. - [Mixtral_8x7B_Instruct_v0_1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1): fine-tuned for dialogue-based use cases. - [Mixtral_8x7B_v0_1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1): pretrained generative text model that can be used for further fine-tuning on specific applications. Mixtral_8x7b models are licensed under the [Apache 2.0 license](https://choosealicense.com/licenses/apache-2.0). By installing this listing, you acknowledge and agree to the license. For example notebooks of using the mixtral_8x7b model in various use cases on Databricks, refer to [the Databricks ML example repository](https://github.com/databricks/databricks-ml-examples/tree/master/llm-models/mixtral-8x7b). **Use cases** [Mixtral_8x7B_Instruct_v0_1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1): - Generating responses to text-based instructions - Chatbots and conversational AI systems [Mixtral_8x7B_v0_1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1): - Fine-tuning on specific applications. **Product details** The pre-trained model can be used for further fine-tuning on specific applications. The fine-tuned model in this listing can be deployed directly to Databricks Model Serving for immediate use, or loaded for fine-tuning or batch inference use cases. For more details, install the listing and view the provided model cards for each model.
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数据集介绍
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背景与挑战
背景概述
Mixtral-8x7b模型是由Mistral AI开发的大语言模型,包含预训练版本和针对对话任务优化的指令微调版本。该模型采用MLflow打包,适用于生成文本响应、构建聊天机器人以及特定应用的进一步微调,并基于Apache 2.0许可证发布。
以上内容由遇见数据集搜集并总结生成
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