GGUF
Image-Text-to-Text Models
Audio-Text-to-Text
text-to-Text
llama_cpp
any to any
Multimodal AI
video-Text-to-Text
Llama Model Switcher
imatrix
conversational
Instructions to use nzgnzg73/llama_cpp_WebUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use nzgnzg73/llama_cpp_WebUI with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf nzgnzg73/llama_cpp_WebUI:Q4_K_S # Run inference directly in the terminal: llama cli -hf nzgnzg73/llama_cpp_WebUI:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nzgnzg73/llama_cpp_WebUI:Q4_K_S # Run inference directly in the terminal: llama cli -hf nzgnzg73/llama_cpp_WebUI:Q4_K_S
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf nzgnzg73/llama_cpp_WebUI:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama cli -hf nzgnzg73/llama_cpp_WebUI:Q4_K_S
Use Docker
docker model run hf.co/nzgnzg73/llama_cpp_WebUI:Q4_K_S
- Llama new
- LM Studio
- Jan
- Ollama
How to use nzgnzg73/llama_cpp_WebUI with Ollama:
ollama run hf.co/nzgnzg73/llama_cpp_WebUI:Q4_K_S
- Unsloth Desktop
- Docker Model Runner
How to use nzgnzg73/llama_cpp_WebUI with Docker Model Runner:
docker model run hf.co/nzgnzg73/llama_cpp_WebUI:Q4_K_S
- Lemonade
How to use nzgnzg73/llama_cpp_WebUI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nzgnzg73/llama_cpp_WebUI:Q4_K_S
Run and chat with the model
lemonade run user.llama_cpp_WebUI-Q4_K_S
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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## run.bat
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llama-server --n-gpu-layers 15 --ctx-size 8192 -m models/ollma/Llama-3.2-1B-Instruct-Q8_0.gguf --mmproj models/ollma/mmproj-ultravox-v0_5-llama-3_2-1b-f16.gguf --host 127.0.0.1 --port 8083
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## run.bat
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Local Server
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llama-server.exe --n-gpu-layers 2 --ctx-size 111192 -m ".\models\mistralai\mistralai_Voxtral-Mini-3B-2507-Q8_0.gguf" --mmproj ".\models\mistralai\mmproj-mistralai_Voxtral-Mini-3B-2507-bf16.gguf" --host 0.0.0.0 --port 8005
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public URL
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llama-server --n-gpu-layers 15 --ctx-size 8192 -m models/ollma/Llama-3.2-1B-Instruct-Q8_0.gguf --mmproj models/ollma/mmproj-ultravox-v0_5-llama-3_2-1b-f16.gguf --host 127.0.0.1 --port 8083
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