Stable Beluga

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

Text generation for content creation Natural language understanding in research Automated summarization of documents Enhancing chatbot and virtual assistant capabilities Language model fine-tuning for specific domains

⚖️ Pros & Cons

✅ Pros

Leverages the robust base of LLaMA 65B
Optimized for stability and reliability
Suitable for advanced NLP applications

❌ Cons

Requires significant computational resources
May have limitations in highly specialized domains without further fine-tuning
Performance dependent on the quality of input data

Overview

Stable Beluga is a fine-tuned version of the LLaMA 65B model, optimized for enhanced performance in natural language understanding and generation tasks. It leverages the base capabilities of LLaMA while incorporating stability-focused improvements for more reliable outputs.

Problem It Solves

It provides a more stable and refined large language model for applications requiring high-quality 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, 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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