Maintainer: Sao10K

Total Score


Last updated 5/19/2024


Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The Fimbulvetr-11B-v2 model is a large language model created by the AI researcher Sao10K. It is a solar-based model trained on a mix of publicly available online data. The model is available in Alpaca or Vicuna prompt formats and is recommended to be used with SillyTavern presets for the Universal Light variation.

Similar models include the Llama-2-7B-GGUF model created by TheBloke, which is a 7 billion parameter model from Meta's Llama 2 collection that has been converted to the GGUF format. Another related model is the Phind-CodeLlama-34B-v2-GGUF model, a 34 billion parameter model created by Phind that has been optimized for programming tasks.

Model inputs and outputs

The Fimbulvetr-11B-v2 model accepts text-based prompts in either the Alpaca or Vicuna format. The Alpaca format involves providing an instruction prompt, input context, and a request for the model to generate a response. The Vicuna format involves providing a system message that sets the tone and guidelines for the interaction, followed by a user prompt for the model to respond to.


  • Prompt: Text-based prompts in either the Alpaca or Vicuna format, providing instructions and context for the model to generate a response.


  • Generated text: The model will generate coherent text in response to the provided prompt, adhering to the guidelines and tone set in the system message.


The Fimbulvetr-11B-v2 model is capable of generating high-quality text in response to a wide variety of prompts, from open-ended conversations to more specific tasks like answering questions or providing explanations. The model has been trained to be helpful, respectful, and honest in its responses, and to avoid harmful, unethical, or biased content.

What can I use it for?

The Fimbulvetr-11B-v2 model can be used for a variety of natural language processing tasks, such as:

  • Chatbots and conversational AI: The model can be used to power chatbots and other conversational AI systems, providing users with helpful and engaging responses.
  • Content generation: The model can be used to generate coherent and well-written text on a wide range of topics, such as articles, stories, or scripts.
  • Question answering: The model can be used to answer questions on a variety of subjects, drawing upon its broad knowledge base.

To use the model, you can download the GGUF files from the TheBloke/Llama-2-7B-GGUF repository and integrate it into your own applications or projects.

Things to try

One interesting aspect of the Fimbulvetr-11B-v2 model is its solar-based training, which may imbue it with unique characteristics or capabilities compared to other large language models. Researchers and developers could explore how this solar-based training affects the model's performance on tasks like energy-related or sustainability-focused content generation, or how it responds to prompts related to renewable energy and environmental topics.

Another intriguing area to investigate would be the model's ability to engage in open-ended, creative conversations. The provided Alpaca and Vicuna prompt formats suggest the model may be well-suited for imaginative roleplay or collaborative storytelling applications, where users can explore different narrative paths and scenarios with the model.

This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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