Rubra: Open-weight LLMs with tool-calling capability

Frequently Asked Questions about Rubra

What is Rubra?

Rubra is a collection of open-weight large language models (LLMs) that can call external tools. These models are enhanced versions of popular open-source LLMs, improved with post-training and method adjustments to teach new skills and reduce forgetting. Rubra models are designed for agent-like use cases where reasoning and interaction with external tools are needed. The models can be accessed easily through Huggingface Spaces without requiring downloads, making them user-friendly. Additionally, users can deploy these models locally with compatible tools such as llama.cpp and vLLM, supporting various model sizes and configurations. Rubra aims to facilitate advanced AI applications by enabling deterministic tool calls during conversations, which is useful for tasks requiring external data or functions.

Key Features:

• Open-weight Models
• Tool-calling Capability
• Easy Deployment
• Multiple Model Sizes
• Local and Cloud Use
• Enhanced Training
• Deterministic Calls

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:

• Machine Learning AI
• Content Generation AI
• Dev Tools AI

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:

• Deploy models
• Call external tools
• Integrate with APIs
• Enhance chatbots
• Customize models

Common Use Cases for Rubra

• Integrate external tools into chatbots for dynamic responses
• Enhance AI assistants with real-time data retrieval
• Automate complex workflows with AI-driven tool calls
• Develop advanced agent systems with external API integration
• Create flexible AI models for research and development

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:

• Traditional chatbot APIs
• Static AI models without tool integration
• Basic language models without external tool support
• Manual coding for external data fetches
• Basic NLP tools

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:

• model deployment and tool-calling
• deploy models
• call external tools
• integrate with apis
• enhance chatbots
• customize models

AI Tool Categories

Rubra belongs to these specialized AI tool categories:

• Machine Learning
• Content Generation
• Dev Tools

Getting Started with Rubra

Ready to try Rubra? This AI tool is designed to help you model deployment and tool-calling efficiently. Visit the official website to get started and explore all the features Rubra has to offer.