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@@ -65,7 +65,7 @@ KoboldCpp can now also be run on Novita AI, a newer alternative GPU cloud provid
## 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 [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)
- For beginners, we recommend the models [L3-8B-Stheno-v3.2](https://huggingface.co/bartowski/L3-8B-Stheno-v3.2-GGUF/resolve/main/L3-8B-Stheno-v3.2-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) (old but very versatile model) or [Gemma-3-27B Abliterated](https://huggingface.co/mlabonne/gemma-3-27b-it-abliterated-GGUF/resolve/main/gemma-3-27b-it-abliterated.q4_k_m.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)
@@ -204,7 +204,7 @@ and it will install everything required. Alternatively, you can download the abo
# Where can I download AI model files?
- The best place to get GGUF text models is huggingface. For image models, CivitAI has a good selection. Here are some to get started.
- Text Generation: [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)
- Text Generation: [L3-8B-Stheno-v3.2](https://huggingface.co/bartowski/L3-8B-Stheno-v3.2-GGUF/resolve/main/L3-8B-Stheno-v3.2-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) (old but very versatile model) or [Gemma-3-27B Abliterated](https://huggingface.co/mlabonne/gemma-3-27b-it-abliterated-GGUF/resolve/main/gemma-3-27b-it-abliterated.q4_k_m.gguf) (largest and most powerful)
- Image Generation: [Anything v3](https://huggingface.co/admruul/anything-v3.0/resolve/main/Anything-V3.0-pruned-fp16.safetensors) or [Deliberate V2](https://huggingface.co/Yntec/Deliberate2/resolve/main/Deliberate_v2.safetensors) or [Dreamshaper SDXL](https://huggingface.co/Lykon/dreamshaper-xl-v2-turbo/resolve/main/DreamShaperXL_Turbo_v2_1.safetensors)
- Image Recognition MMproj: [Pick the correct one for your model architecture here](https://huggingface.co/koboldcpp/mmproj/tree/main)
- Speech Recognition: [Whisper models for Speech-To-Text](https://huggingface.co/koboldcpp/whisper/tree/main)