Stable Beluga 1 is a Llama 65B model fine-tuned on an Orca-style dataset; its page provides delta weights.

huggingface.co/stabilityai/StableBeluga1-Delta
Stable Beluga homepage screenshot

About Stable Beluga

Stable Beluga 1 is a 65-billion parameter text generation model fine-tuned on an Orca-style dataset, hosted on the Hugging Face platform. It is built on the LLaMA foundation model and released under a CC BY-NC 4.0 license for non-commercial use.

The model is distributed as delta weights only, so it cannot be used standalone. Users must combine these weights with original LLaMA 65B model weights to create a functional version of Stable Beluga 1. A provided apply_delta.py script automates this merging process, and sample code is included for loading the final model and running text generation tasks. It is designed for instruction-following use cases, with example prompts including creative writing, factual questions, and concept explanations.

Key features

  • Fine-tuned on Orca-style dataset for instruction following
  • Provided as delta weights with automated merge script
  • Compatible with Hugging Face Transformers library
  • Supports English language text generation tasks
  • Released under CC BY-NC 4.0 non-commercial license
Best for: It is best suited for NLP researchers and developers working on non-commercial instruction-following text generation projects.
Good for
  • Built on LLaMA 65B foundation for strong base performance
  • Includes pre-built script to simplify delta weight merging
  • Integrates with standard Hugging Face Transformers workflows
Watch out for
  • Requires separate access to original LLaMA 65B weights to use
  • Restricted to non-commercial use under CC BY-NC 4.0 license
  • No hosted inference providers available on its Hugging Face page

Stable Beluga at a glance

Type
Dataset
Platforms
Web
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Stable Beluga FAQ

What is Stable Beluga 1?
Stable Beluga 1 is a 65B parameter text generation model fine-tuned on an Orca-style dataset, built on the LLaMA foundation model.
How do I use Stable Beluga 1?
You must merge the provided delta weights with original LLaMA 65B weights using the included apply_delta.py script, then load the combined model with Hugging Face Transformers.
What license covers Stable Beluga 1?
It is released under a CC BY-NC 4.0 license, which permits only non-commercial use.
Is hosted inference available for Stable Beluga 1?
No, no inference providers are listed for the model on its Hugging Face page.
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