Mixtral-8x7B-v0.1

Maintainer: mistralai

Total Score

1.5K

Last updated 4/28/2024

📉

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The Mixtral-8x7B-v0.1 is a Large Language Model (LLM) developed by Mistral AI. It is a pretrained generative Sparse Mixture of Experts model that outperforms the Llama 2 70B model on most benchmarks tested. The model is available through the Hugging Face Transformers library and can be run in various precision levels to optimize memory and compute requirements.

The Mixtral-8x7B-v0.1 is part of a family of Mistral models, including the mixtral-8x7b-instruct-v0.1, Mistral-7B-Instruct-v0.2, mixtral-8x7b-32kseqlen, mistral-7b-v0.1, and mistral-7b-instruct-v0.1.

Model inputs and outputs

Inputs

  • Text: The model takes text inputs and generates corresponding outputs.

Outputs

  • Text: The model generates text outputs based on the provided inputs.

Capabilities

The Mixtral-8x7B-v0.1 model demonstrates strong performance on a variety of benchmarks, outperforming the Llama 2 70B model. It can be used for tasks such as language generation, text completion, and question answering.

What can I use it for?

The Mixtral-8x7B-v0.1 model can be used for a wide range of applications, including content generation, language modeling, and chatbot development. The model's capabilities make it well-suited for projects that require high-quality text generation, such as creative writing, summarization, and dialogue systems.

Things to try

Experiment with the model's capabilities by providing it with different types of text inputs and observe the generated outputs. You can also fine-tune the model on your specific data to further enhance its performance for your use case.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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