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June 10, 2024


Your all-in-one solution for effortless development, deployment, and evaluation of large language models.

What is Vicuna?

Vicuna eases the training, serving, and evaluation of large language models. It aims to provide a complete solution for users seeking to engage with language technologies.

This tool offers many functions essential for LLM development and deployment. Users can use its training and evaluation code. This includes models such as Vicuna and MT-Bench. These models are built upon advanced architectures and algorithms. It provides high-quality performance across various language tasks.

The web interface of the distributed multi-model serving system is easy to use, and its RESTful APIs are compatible with OpenAI. This makes it simple to integrate into current workflows. One model can be served by the tool, or multiple models can be managed together. It offers the scalability and flexibility required for effective implementation in practical situations.

Vicuna integrates with Hugging Face repos to access model weights. Users can download and store these weights for convenient access during training. The tool simplifies the model deployment process. It ends the need for manual weight management and ensures consistent performance.

The tool caters to many user bases by supporting a wide range of LLMs, including LLama 2, Alpaca, Baize, ChatGLM, Dolly, Falcon, and many others. Users can select the model that best fits their unique requirements with the aid of this extensive model library. It can be used for any language-related job, including text production, translation, conversational AI, and more.

Vicuna is valuable for researchers, developers, and organizations working with large language models. It eases the LLM development lifecycle and speeds up the adoption of language technologies. The tool offers a unified platform for model training, serving, and evaluation.

Key Features

  • Training and Evaluation Code:

    Vicuna provides access to Vicuna and MT-Bench and necessary code for training and evaluation tasks.

  • Multi-Model Deployment:

    It eases the simultaneous deployment of many models.

  • Model Weights Management:

    The tool integrates with Hugging Face repos, allowing users to download and manage model weights.

  • GPU Support:

    It supports both single GPU and multiple GPU setups.

  • CPU-only Deployment:

    It offers CPU-only deployment options for users without access to GPUs.

  • Scalability:

    The tool accommodates the needs of individual researchers, developers, and organizations.

  • Integration:

    Vicuna powers FastChat for training, serving, and evaluating large language model-based chatbots.

Plans Monthly Annually

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