From 895d008c5f3092ecbc5d8057fefdeaf8b58fea80 Mon Sep 17 00:00:00 2001
From: Concedo <39025047+LostRuins@users.noreply.github.com>
Date: Sun, 13 Apr 2025 17:00:00 +0800
Subject: [PATCH] the bloke has retired for a year, its time to let go

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 63c356861..0e7f61511 100644
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@@ -62,7 +62,7 @@ KoboldCpp can now also be run on Novita AI, a newer alternative GPU cloud provid
 - If you're building your own docker, remember to set CUDA_DOCKER_ARCH or enable LLAMA_PORTABLE
 
 ## Obtaining a GGUF model
-- KoboldCpp uses GGUF models. They are not included with KoboldCpp, but you can download GGUF files from other places such as [TheBloke's Huggingface](https://huggingface.co/TheBloke). Search for "GGUF" on huggingface.co for plenty of compatible models in the `.gguf` format.
+- KoboldCpp uses GGUF models. They are not included with KoboldCpp, but you can download GGUF files from other places such as [Bartowski's Huggingface](https://huggingface.co/bartowski). Search for "GGUF" on huggingface.co for plenty of compatible models in the `.gguf` format.
 - For beginners, we recommend the models [Airoboros Mistral 7B](https://huggingface.co/TheBloke/airoboros-mistral2.2-7B-GGUF/resolve/main/airoboros-mistral2.2-7b.Q4_K_S.gguf) (smaller and weaker) or [Tiefighter 13B](https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter-GGUF/resolve/main/LLaMA2-13B-Tiefighter.Q4_K_S.gguf) (larger model) or [Beepo 22B](https://huggingface.co/concedo/Beepo-22B-GGUF/resolve/main/Beepo-22B-Q4_K_S.gguf) (largest and most powerful)
 - [Alternatively, you can download the tools to convert models to the GGUF format yourself here](https://kcpptools.concedo.workers.dev). Run `convert-hf-to-gguf.py` to convert them, then `quantize_gguf.exe` to quantize the result.
 - Other models for Whisper (speech recognition), Image Generation, Text to Speech or Image Recognition [can be found on the Wiki](https://github.com/LostRuins/koboldcpp/wiki#what-models-does-koboldcpp-support-what-architectures-are-supported)