StableBeluga2

What is StableBeluga2?

Stable Beluga 2 is a powerful open-source AI language model developed by Stability AI, built by fine-tuning Meta’s Llama 2 70B on an Orca-style dataset. Designed for high-quality instruction following, it excels at generating helpful, coherent, and context-aware responses—making it ideal for developers, researchers, and hobbyists exploring advanced text generation.

Unlike generic models, Stable Beluga 2 uses a structured prompt format (with System, User, and Assistant tags) to deliver more reliable and safe outputs. It’s part of Stability AI’s mission to democratize artificial intelligence through open science, offering strong performance while remaining free for non-commercial use.

What are the features of StableBeluga2?

• Built on Llama 2 70B: Leverages one of the most capable open foundation models for superior reasoning and fluency
• Orca-Style Fine-Tuning: Trained on complex, step-by-step reasoning traces inspired by GPT-4 explanations for better instruction following
• Structured Prompt Format: Uses clear System/User/Assistant delimiters to guide behavior and improve response quality
• Open Source & Free: Available under a non-commercial community license for research and experimentation
• Hugging Face Integration: Fully compatible with Transformers, vLLM, SGLang, and other popular inference tools
• Quantization Support: Works with llama.cpp, Ollama, and LM Studio for local, low-resource deployment

What are the use cases of StableBeluga2?

• Building custom chatbots for research or personal projects
• Generating creative content like poems, stories, or scripts
• Assisting with coding tasks and technical explanations
• Powering educational tools that require clear, step-by-step reasoning
• Prototyping AI applications using local or cloud-based inference
• Benchmarking model performance against other open-weight LLMs

How to use StableBeluga2?

• Install the transformers library and load the model using AutoModelForCausalLM and AutoTokenizer
• Always format prompts using the required structure: ### System:\n...\n\n### User:\n...\n\n### Assistant:\n
• Use torch_dtype=torch.float16 and device_map="auto" to optimize memory usage on GPUs
• For faster inference, deploy with vLLM or SGLang using their OpenAI-compatible APIs
• Set generation parameters like top_p=0.95, temperature=0.5, and max_new_tokens=256 for balanced creativity and coherence
• Access quantized versions for CPU or mobile-friendly apps via Hugging Face’s model quantizations section

StableBeluga2 Contact Email:

[email protected]

StableBeluga2 Frequently Asked Questions:

Q: What is Stable Beluga 2 based on?
A: Stable Beluga 2 is a fine-tuned version of Llama 2 70B, enhanced using an internal Orca-style dataset that mimics GPT-4’s reasoning traces.

Q: Can I use Stable Beluga 2 commercially?
A: No—it’s licensed under the STABLE BELUGA NON-COMMERCIAL COMMUNITY LICENSE AGREEMENT, so it’s only for research and non-commercial use.

Q: How should I format prompts for best results?
A: Use the exact template: start with ### System: (for behavior guidelines), then ### User: (your query), and end with `#