Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.

7B 13B

22.9K Pulls Updated 7 months ago

7 months ago

e5d7b4def1b8 · 3.8GB

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STABLE BELUGA NON-COMMERCIAL COMMUNITY LICENSE AGREEMENT Dated: July 27, 2023 "Agreement" means the terms and conditions for use, reproduction, distribution and modification of the Software Products set forth herein. “Documentation” means any specifications, manuals, documentation, and other written information provided by Stability AI related to the Software. "Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity's behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf. "Stability AI" or "we" means Stability AI Ltd. "Software" means, collectively, Stability AI’s proprietary Stability Beluga 1 and 2 made available under this Agreement. “Software Products” means Software and Documentation. By using or distributing any portion or element of the Software Products, you agree to be bound by this Agreement. License Rights and Redistribution. Stability AI grants you a non-exclusive, worldwide, non-transferable, non-sublicensable, revocable, royalty free and limited license under Stability AI’s intellectual property or other rights owned by Stability AI embodied in the Software Products to reproduce, distribute, and create derivative works of the Software Products for purposes other than commercial or production use. b. If you distribute or make the Software Products, or any derivative works thereof, available to a third party, you shall (i) provide a copy of this Agreement to such third party, and (ii) retain the following attribution notice within a "Notice" text file distributed as a part of such copies: "Stability Beluga is licensed under the Stability Beluga Research License, Copyright (c) Stability AI Ltd. All Rights Reserved.” c. The licenses granted to you under this Agreement are conditioned upon your compliance with the Documentation, this Agreement, and the Llama 2 Acceptable Use Policy available at ai.meta.com/llama/use-policy, which is hereby incorporated herein by reference, and whose restrictions will apply to both Llama 2 and the Software Products for purposes of this Agreement. 2. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE SOFTWARE PRODUCTS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE SOFTWARE PRODUCTS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE SOFTWARE PRODUCTS AND ANY OUTPUT AND RESULTS. 3. Limitation of Liability. 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Stable Beluga is based on Llama 2 and then fine-tuned on an Orca-style dataset. It is available in 7B, 13B, and 70B parameter sizes. It was created by Stability AI.

Get started with Stable Beluga

The model used in the example below is the Stable Beluga model, with 7b parameters, which is a general-use model.


  1. Start Ollama server (Run ollama serve)
  2. Run the model
curl -X POST http://localhost:11434/api/generate -d '{
  "model": "stable-beluga",
  "prompt":"Explain the process of how a refrigerator works to keep the contents inside cold."


  1. Install Ollama
  2. Open the terminal and run ollama run stable-beluga

Note: The ollama run command performs an ollama pull if the model is not already downloaded. To download the model without running it, use ollama pull stable-beluga

Memory requirements

  • 7b models generally require at least 8GB of RAM
  • 13b models generally require at least 16GB of RAM
  • 70b models generally require at least 64GB of RAM

If you run into issues with higher quantization levels, try using the q4 model or shut down any other programs that are using a lot of memory.

Model variants

By default, Ollama uses 4-bit quantization. To try other quantization levels, please try the other tags. The number after the q represents the number of bits used for quantization (i.e. q4 means 4-bit quantization). The higher the number, the more accurate the model is, but the slower it runs, and the more memory it requires.

latest, 7b, 7b-q4_0
13b, 13b-q4_0
70b, 70b-q4_0

Model source

Stable Beluga source on Ollama

7b parameters original source:
Stability AI

13b parameters original source:
Stability AI

70b parameters original source:
Stability AI