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

Frequently Asked Questions about Rubra

What is Rubra?

Rubra is a collection of large language models (LLMs) that are open-weight, meaning their weights are freely available for use and modification. These models are built to call external tools, which makes them very useful for creating advanced AI systems. Rubra models are improved versions of popular open-source models, with extra training and techniques to help them learn new skills and remember better. They are designed for tasks where reasoning and interaction with outside data or functions are needed.

Users can access Rubra models easily through Huggingface Spaces, an online platform that allows instant use without downloading any files. This makes it simple for anyone to try out the models. For those who want to run models locally, Rubra supports tools like llama.cpp and vLLM, helping users deploy models on their own computers or servers. The models come in various sizes, from 2 billion to 70 billion parameters, giving users options based on their needs.

The main features include open-weight models, the ability to call external tools, easy deployment options, multiple sizes, local and cloud options, enhanced training, and consistent, deterministic calls to tools during conversations. These features make the models suitable for a range of applications.

Rubra is useful in many scenarios. It can improve chatbots by allowing them to interact with external data sources for more accurate answers. It can enhance AI assistants with real-time data access. It is ideal for automating complex workflows where external API calls are necessary. Researchers and developers can use it to create flexible, agent-based systems that interact with external tools and data in real-time.

Since Rubra models can be quickly tried on Huggingface Spaces or deployed locally, they are accessible for both beginners and experienced users. They replace older, static AI models and basic NLP tools by offering more interactive and capable AI solutions.

Overall, Rubra helps build smarter, more interactive AI systems capable of reasoning and performing external tasks, making it a powerful choice for AI researchers, data scientists, software developers, machine learning engineers, and AI enthusiasts.

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: