Stable Beluga is a powerful text-generation model built on top of a fine-tuned LLaMA 65B foundation, designed for high-quality natural language understanding and creation. Hosted on Hugging Face by Stability AI, it brings cutting-edge large language model capabilities to developers, researchers, and enterprises who need reliable and controllable AI text. Stable Beluga excels at complex reasoning, long-form content generation, and multi-step instruction following, making it suitable for applications such as AI assistants, drafting tools, and knowledge-intensive workflows. Thanks to its instruction tuning, the model can follow detailed prompts, adapt tone and style, and handle nuanced questions with richer context awareness than generic base models. It can be integrated into existing systems via standard Hugging Face tooling, enabling rapid experimentation and deployment. Whether you are building chatbots, content pipelines, or internal productivity tools, Stable Beluga offers a balance of scale, quality, and flexibility. As a research-focused release, it also provides a strong starting point for further domain-specific fine-tuning, evaluation, and safety alignment. Explore Stable Beluga to accelerate your NLP projects with a modern, large-capacity language model.
Build conversational AI assistants that can follow detailed instructions, remember context, and respond naturally across multiple turns.
Generate, rewrite, or expand blog posts, marketing copy, technical documentation, and reports at scale.
Summarize long research papers, meeting transcripts, or knowledge base articles into concise, readable overviews.
Prototype and evaluate new NLP workflows, such as code explanation, data analysis narration, or domain-specific Q&A.
Create internal productivity tools that help teams draft emails, prepare briefs, and standardize written communication.