StableBeluga2

StableBeluga2 is a language model created by Stability AI. It was refined using the Llama2 70B dataset. It is designed to produce text from user input.

This model is suitable for different natural language processing applications like text creation and conversational AI. To implement StableBeluga2, developers can import needed modules from the Transformers library using the code example provided.

The model accepts a prompt as input and then creates a relevant response. The format includes a system prompt, a user prompt, and an assistant output.

The model offers customization using parameters like top-p and top-k to adjust the output. StableBeluga2 is trained on an internal dataset similar to Orca and fine-tuned with mixed-precision (BF16) training, optimized with AdamW.

The model specifications include details on the type, language (English), and the HuggingFace Transformers library used for implementation. It is important to remember that, like other models, StableBeluga2 can sometimes generate outputs that are incorrect, skewed, or inappropriate.

Therefore, developers should conduct safety checks and tuning tailored to their specific use cases before deploying the model. For more details or support, contact Stability AI by email.

The model also provides citations for referencing and further study.