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README.md
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# Faraday.dev Model Repository
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Conveniently download this model from the Faraday.dev app model manager.
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[Download Faraday here to get started.](https://faraday.dev/)
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Request Additional GGUF models at [r/LLM_Quants](https://www.reddit.com/r/LLM_Quants/s/iizaX3acGa)
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# What is a GGUF?
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GGUF is a large language model (LLM) format that can be split between CPU and GPU. GGUFs are compatible with applications based on llama.cpp, such as Faraday.dev. Where other model formats require higher end GPUs with ample VRAM, GGUFs can be efficiently run on a wider variety of hardware.
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Faraday makes it easy to start chatting with AI using your own characters or one of the many found in the built-in character hub. The model manager helps you find the latest and greatest models. A focus on ease of use doesn't mean Faraday lacks features or removes control. Faraday supports advanced features such as lorebooks, author's note, text formatting, custom context size, sampler settings, grammars, local TTS, cloud inference, and tethering, all implemented in a way that is straightforward and reliable.
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# Faraday.dev Model Repository
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Conveniently download this model from the Faraday.dev app model manager.
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- [Download Faraday here to get started.](https://faraday.dev/)
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- Request Additional GGUF models at [r/LLM_Quants](https://www.reddit.com/r/LLM_Quants/s/iizaX3acGa)
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***
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***
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# What is a GGUF?
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GGUF is a large language model (LLM) format that can be split between CPU and GPU. GGUFs are compatible with applications based on llama.cpp, such as Faraday.dev. Where other model formats require higher end GPUs with ample VRAM, GGUFs can be efficiently run on a wider variety of hardware.
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- Zero-config desktop-to-mobile tethering.
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Faraday makes it easy to start chatting with AI using your own characters or one of the many found in the built-in character hub. The model manager helps you find the latest and greatest models. A focus on ease of use doesn't mean Faraday lacks features or removes control. Faraday supports advanced features such as lorebooks, author's note, text formatting, custom context size, sampler settings, grammars, local TTS, cloud inference, and tethering, all implemented in a way that is straightforward and reliable.
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**Join us on [Discord](https://discord.gg/SyNN2vC9tQ)**
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