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Title: GitHub - orgitcog/koboldcpp: Run GGUF models easily with a KoboldAI UI. One File. Zero Install.

Open Graph Title: GitHub - orgitcog/koboldcpp: Run GGUF models easily with a KoboldAI UI. One File. Zero Install.

X Title: GitHub - orgitcog/koboldcpp: Run GGUF models easily with a KoboldAI UI. One File. Zero Install.

Description: Run GGUF models easily with a KoboldAI UI. One File. Zero Install. - orgitcog/koboldcpp

Open Graph Description: Run GGUF models easily with a KoboldAI UI. One File. Zero Install. - orgitcog/koboldcpp

X Description: Run GGUF models easily with a KoboldAI UI. One File. Zero Install. - orgitcog/koboldcpp

Opengraph URL: https://github.com/orgitcog/koboldcpp

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Download Releases Herehttps://github.com/LostRuins/koboldcpp/releases/latest
https://github.com/orgitcog/koboldcpp/blob/concedo/media/preview.png
https://github.com/orgitcog/koboldcpp/blob/concedo/media/preview2.png
https://github.com/orgitcog/koboldcpp/blob/concedo/media/preview3.png
https://github.com/orgitcog/koboldcpp/blob/concedo/media/preview4.png
https://github.com/orgitcog/koboldcpp/blob/concedo/media/preview5.png
https://github.com/orgitcog/koboldcpp/blob/concedo/media/preview6.png
https://github.com/orgitcog/koboldcpp#features
Need help finding a model? Read this!https://github.com/LostRuins/koboldcpp/wiki#getting-an-ai-model-file
https://github.com/orgitcog/koboldcpp#windows-usage-precompiled-binary-recommended
Download the latest koboldcpp.exe release herehttps://github.com/LostRuins/koboldcpp/releases/latest
herehttps://github.com/orgitcog/koboldcpp#Obtaining-a-GGUF-model
http://localhost:5001http://localhost:5001
https://github.com/orgitcog/koboldcpp#linux-usage-precompiled-binary-recommended
releases pagehttps://github.com/LostRuins/koboldcpp/releases/latest
herehttps://github.com/orgitcog/koboldcpp#Obtaining-a-GGUF-model
https://github.com/orgitcog/koboldcpp#macos-precompiled-binary
Simply download the MacOS binaryhttps://github.com/LostRuins/koboldcpp/releases/latest
Here's a video guidehttps://youtube.com/watch?v=NOW5dyA_JgY
herehttps://github.com/orgitcog/koboldcpp#Obtaining-a-GGUF-model
https://github.com/orgitcog/koboldcpp#run-on-colab
Try it here!https://colab.research.google.com/github/LostRuins/koboldcpp/blob/concedo/colab.ipynb
https://github.com/orgitcog/koboldcpp#run-on-runpod
Try our RunPod image here!https://koboldai.org/runpodcpp
https://github.com/orgitcog/koboldcpp#docker
https://hub.docker.com/r/koboldai/koboldcpphttps://hub.docker.com/r/koboldai/koboldcpp
https://github.com/orgitcog/koboldcpp#obtaining-a-gguf-model
Bartowski's Huggingfacehttps://huggingface.co/bartowski
L3-8B-Stheno-v3.2https://huggingface.co/bartowski/L3-8B-Stheno-v3.2-GGUF/resolve/main/L3-8B-Stheno-v3.2-Q4_K_S.gguf
Tiefighter 13Bhttps://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter-GGUF/resolve/main/LLaMA2-13B-Tiefighter.Q4_K_S.gguf
Gemma-3-27B Abliteratedhttps://huggingface.co/mlabonne/gemma-3-27b-it-abliterated-GGUF/resolve/main/gemma-3-27b-it-abliterated.q4_k_m.gguf
Alternatively, you can download the tools to convert models to the GGUF format yourself herehttps://kcpptools.concedo.workers.dev
can be found on the Wikihttps://github.com/LostRuins/koboldcpp/wiki#what-models-does-koboldcpp-support-what-architectures-are-supported
https://github.com/orgitcog/koboldcpp#improving-performance
check the wikihttps://github.com/LostRuins/koboldcpp/wiki
https://github.com/orgitcog/koboldcpp#compiling-koboldcpp-from-source-code
https://github.com/orgitcog/koboldcpp#compiling-on-linux-using-koboldcppsh-automated-compiler-script
https://github.com/orgitcog/koboldcpp#compiling-on-linux-manual-method
https://github.com/orgitcog/koboldcpp#compiling-on-windows
https://github.com/skeeto/w64devkithttps://github.com/skeeto/w64devkit
https://github.com/KhronosGroup/OpenCL-SDKhttps://github.com/KhronosGroup/OpenCL-SDK
https://github.com/CNugteren/CLBlasthttps://github.com/CNugteren/CLBlast
https://github.com/orgitcog/koboldcpp#compiling-on-macos
https://github.com/orgitcog/koboldcpp#compiling-on-android-termux-installation
First, Install and run Termux from F-Droidhttps://f-droid.org/en/packages/com.termux/
https://github.com/orgitcog/koboldcpp#termux-quick-setup-script-easy-setup
https://github.com/orgitcog/koboldcpp#termux-manual-instructions-diy-setup
https://github.com/orgitcog/koboldcpp#amd-users
https://github.com/YellowRoseCx/koboldcpp-rocmhttps://github.com/YellowRoseCx/koboldcpp-rocm
https://github.com/orgitcog/koboldcpp#third-party-resources
CUBLAShttps://aur.archlinux.org/packages/koboldcpp-cuda
HIPBLAShttps://aur.archlinux.org/packages/koboldcpp-hipblas
korewaChinohttps://github.com/korewaChino/koboldCppDocker
noneabove1182https://github.com/noneabove1182/koboldcpp-docker
Example Nix Setup and further informationhttps://github.com/orgitcog/koboldcpp/blob/concedo/examples/nix_example.md
herehttps://github.com/NixOS/nixpkgs/issues/new?assignees=&labels=0.kind%3A+bug&projects=&template=bug_report.md&title=
GPTLocalhosthttps://gptlocalhost.com/demo#KoboldCpp
https://github.com/orgitcog/koboldcpp#questions-and-help-wiki
The KoboldCpp FAQ and Knowledgebasehttps://github.com/LostRuins/koboldcpp/wiki
KoboldAI Discordhttps://koboldai.org/discord
https://github.com/orgitcog/koboldcpp#koboldcpp-and-koboldai-api-documentation
Documentation for KoboldAI and KoboldCpp endpoints can be found herehttps://lite.koboldai.net/koboldcpp_api
https://github.com/orgitcog/koboldcpp#koboldcpp-public-demo
A public KoboldCpp demo can be found at our Huggingface Space. Please do not abuse it.https://koboldai-koboldcpp-tiefighter.hf.space/
https://github.com/orgitcog/koboldcpp#considerations
https://github.com/orgitcog/koboldcpp#license
https://github.com/ggml-org/llama.cpphttps://github.com/ggml-org/llama.cpp
https://github.com/leejet/stable-diffusion.cpphttps://github.com/leejet/stable-diffusion.cpp
https://github.com/mmwillet/TTS.cpphttps://github.com/mmwillet/TTS.cpp
https://github.com/LostRuins/koboldcpphttps://github.com/LostRuins/koboldcpp
https://github.com/LostRuins/lite.koboldai.nethttps://github.com/LostRuins/lite.koboldai.net
https://github.com/orgitcog/koboldcpp#notes
https://lite.koboldai.net/koboldcpp_apihttps://lite.koboldai.net/koboldcpp_api
https://github.com/orgitcog/koboldcpp#where-can-i-download-ai-model-files
L3-8B-Stheno-v3.2https://huggingface.co/bartowski/L3-8B-Stheno-v3.2-GGUF/resolve/main/L3-8B-Stheno-v3.2-Q4_K_S.gguf
Tiefighter 13Bhttps://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter-GGUF/resolve/main/LLaMA2-13B-Tiefighter.Q4_K_S.gguf
Gemma-3-27B Abliteratedhttps://huggingface.co/mlabonne/gemma-3-27b-it-abliterated-GGUF/resolve/main/gemma-3-27b-it-abliterated.q4_k_m.gguf
Anything v3https://huggingface.co/admruul/anything-v3.0/resolve/main/Anything-V3.0-pruned-fp16.safetensors
Deliberate V2https://huggingface.co/Yntec/Deliberate2/resolve/main/Deliberate_v2.safetensors
Dreamshaper SDXLhttps://huggingface.co/Lykon/dreamshaper-xl-v2-turbo/resolve/main/DreamShaperXL_Turbo_v2_1.safetensors
Pick the correct one for your model architecture herehttps://huggingface.co/koboldcpp/mmproj/tree/main
Whisper models for Speech-To-Texthttps://huggingface.co/koboldcpp/whisper/tree/main
TTS models for Narrationhttps://huggingface.co/koboldcpp/tts/tree/main
github.com/lostruins/koboldcpphttps://github.com/lostruins/koboldcpp
Readme https://github.com/orgitcog/koboldcpp#readme-ov-file
AGPL-3.0 license https://github.com/orgitcog/koboldcpp#AGPL-3.0-1-ov-file
Please reload this pagehttps://github.com/orgitcog/koboldcpp
Activityhttps://github.com/orgitcog/koboldcpp/activity
Custom propertieshttps://github.com/orgitcog/koboldcpp/custom-properties
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