Stable Beluga 2

Models Updated Feb 11, 2026

Compared with 18 other Models agents Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026

💰 Pricing

Open Source

Pricing not publicly listed.

🎯 Use Cases

Natural language processing research Advanced chatbot development Content generation and summarization Language model benchmarking Educational and experimental AI projects

⚖️ Pros & Cons

✅ Pros

Built on the robust LLaMA2 70B architecture
Fine-tuned for improved performance
Open-source and accessible for modification

❌ Cons

Requires significant computational resources
May lack specialized optimizations for niche tasks
Limited documentation compared to commercial alternatives

Overview

Stable Beluga 2 is a fine-tuned version of the LLaMA2 70B model, optimized for enhanced performance in natural language understanding and generation tasks. It leverages the base capabilities of LLaMA2 while incorporating additional training for improved accuracy and coherence.

Problem It Solves

Provides a more refined and capable large language model for applications requiring advanced text generation and comprehension.

Target Audience: Developers and teams working with models automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are Stable Beluga 2, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

Not publicly specified

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FAQs

Is this agent open-source?: Not publicly specified
Can this agent be self-hosted?: Not publicly specified
What skill level is required?: Intermediate

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