Rubra: Open-weight LLMs with tool-calling capability 🪦

Frequently Asked Questions about Rubra

What is Rubra?

Rubra is a set of open-weight large language models (LLMs) designed to work with external tools. These models are improved versions of popular open-source AI models. They have been fine-tuned through special training techniques to learn new skills and remember what they learn. Rubra models support agent-like tasks, which involve reasoning and interacting with external data sources or tools. Users can easily access these models on Huggingface Spaces, where they can run them instantly without downloading. It is also possible to deploy Rubra models locally on your computer using tools like llama.cpp and vLLM, giving options for different sizes and configurations.

Rubra models are suitable for a variety of uses, such as making chatbots more responsive, adding real-time data abilities to AI assistants, and automating workflows that require external API calls. They are helpful for developers, AI researchers, data scientists, and anyone interested in advanced AI projects. The main features of Rubra include a wide range of open-source models, the ability to call external tools, easy deployment options, support for local and cloud use, and the ability to make deterministic (consistent) tool calls during conversations.

The models come in sizes from 2 billion to 70 billion parameters, offering users powerful options for their specific needs. They can be used in categories like artificial intelligence, machine learning, and content generation. Using Rubra is straightforward: select a model, input your prompts, and use the built-in tool-calling to perform complex tasks. This makes it easy to create smarter chatbots or AI systems that can fetch real-time information, perform complex actions, or integrate with APIs.

Rubra replaces older, less flexible AI tools by providing dynamic, extendable models that can interact with external sources. Its ability to call external tools deterministically during ChatGPT-like interactions opens new possibilities for AI applications. Whether you want to improve research, build intelligent assistants, or develop automation workflows, Rubra provides a robust platform for deploying and customizing advanced AI models with tool-calling features.

Key Features:

Who should be using Rubra?

AI Tools such as Rubra is most suitable for AI Researchers, Data Scientists, Software Developers, Machine Learning Engineers & AI Enthusiasts.

What type of AI Tool Rubra is categorised as?

What AI Can Do Today categorised Rubra under:

How can Rubra AI Tool help me?

This AI tool is mainly made to model deployment and tool-calling. Also, Rubra can handle deploy models, call external tools, integrate with apis, enhance chatbots & customize models for you.

What Rubra can do for you:

Common Use Cases for Rubra

How to Use Rubra

Rubra models can be run immediately via Huggingface Spaces without download, or locally through tools like llama.cpp and vLLM. Users select a model, input prompts, and utilize the tool-calling features for agentic tasks.

What Rubra Replaces

Rubra modernizes and automates traditional processes:

Additional FAQs

How can I run Rubra models?

You can run Rubra models via Huggingface Spaces for instant use or locally with llama.cpp and vLLM.

Are these models suitable for production?

Yes, especially when integrated with external tools in agent-like workflows.

What models are available?

Models range from 2B to 70B parameters, based on popular open-source architectures.

Discover AI Tools by Tasks

Explore these AI capabilities that Rubra excels at:

AI Tool Categories

Rubra belongs to these specialized AI tool categories: