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LlamaGPT icon

LlamaGPT

 24 likes

LlamaGPT is a chatbot that provides a ChatGPT-like experience, with no data leaving your device.

LlamaGPT screenshot 1

License model

  • Free • Proprietary

Application types

Platforms

  • Software as a Service (SaaS)  Requires umbrelOS
LlamaGPT screenshot 1
LlamaGPT screenshot 2
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  No rating
24 likes
0comments
69 alternatives
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Features

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Properties

  1.  Privacy focused

Features

  1.  AI Writing
  2.  AI Chatbot
  3.  Ad-free
  4.  AI-Powered
  5.  No registration required

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LlamaGPT information

  • Developed by

    Umbrel

  • Licensing

    Proprietary (MIT) and Free product.

  • Written in

  • Alternatives

    69 alternatives listed

  • Supported Languages

    • English

AlternativeTo Category

AI Tools & Services

GitHub repository

  •  10,787 Stars
  •  698 Forks
  •  99 Open Issues
  •   Updated Apr 23, 2024 

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Our users have written 0 comments and reviews about LlamaGPT, and it has gotten 24 likes

LlamaGPT was added to AlternativeTo by Paul on Aug 17, 2023 and this page was last updated Nov 5, 2024.
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What is LlamaGPT?

LlamaGPT is a chatbot that provides a ChatGPT-like experience, with no data leaving your device.

Note: The download size of LlamaGPT is about 5.5GB. Depending on your internet speed, it may take some time for it to be installed.

LlamaGPT consumes approximately 5GB of RAM. As a result, it is not suitable for users running umbrelOS on a Raspberry Pi 4 with 4GB RAM. For the best user experience, at least 8GB RAM is recommended.

LlamaGPT is optimized for the Umbrel Home, generating words as fast as ~3 words/sec. On a Raspberry Pi 4 with 8GB RAM, it generates words at ~1 word/sec. Performance can vary depending on which other apps are installed on your Umbrel.

Powered by the state-of-the-art Nous Hermes Llama 2 7B language model, LlamaGPT is fine-tuned on over 300,000 instructions to offer longer responses and a lower hallucination rate.

LlamaGPT has been made possible thanks to the incredible open source work from various developers and teams. We extend our gratitude to Mckay Wrigley for building the Chatbot UI, Georgi Gerganov for implementing llama.cpp, Andrei for developing the Python bindings for llama.cpp, NousResearch for fine-tuning the model, Tom Jobbins for quantizing the model, and Meta for releasing Llama 2 under a permissive license.

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