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.
- Libraries
- llama-cpp-python
How to use nzgnzg73/llama_cpp_WebUI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="nzgnzg73/llama_cpp_WebUI", filename="Image-Text-to-Text Models/gemma-3/gemma-3-12b-it-Q4_K_S.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use nzgnzg73/llama_cpp_WebUI with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -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-server -hf nzgnzg73/llama_cpp_WebUI:Q4_K_S # Run inference directly in the terminal: llama-cli -hf nzgnzg73/llama_cpp_WebUI:Q4_K_S
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -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/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -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
- 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 Studio new
How to use nzgnzg73/llama_cpp_WebUI with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for nzgnzg73/llama_cpp_WebUI to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for nzgnzg73/llama_cpp_WebUI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nzgnzg73/llama_cpp_WebUI to start chatting
- 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
Delete llama_cpp_WebUI FILE/Run.BAT
Browse files- llama_cpp_WebUI FILE/Run.BAT +0 -59
llama_cpp_WebUI FILE/Run.BAT
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@echo off
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Title 🦙 Llama.cpp Local Server - GPU + Model Selector + Auto Chrome
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REM --- PATH SETTINGS ---
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SET BASE_DIR=D:\Flie\llama.cpp
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SET MODELS_DIR=%BASE_DIR%\models
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SET SERVER_EXE=%BASE_DIR%\llama-server.exe
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REM --- SERVER SETTINGS ---
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SET HOST_IP=0.0.0.0
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SET PORT=8080
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SET GPU_LAYERS=999
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SET CONTEXT_SIZE=4096
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echo ============================================
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echo 🦙 Llama.cpp Local Server - Model Selector
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echo ============================================
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echo.
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echo Available Models in: %MODELS_DIR%
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echo.
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REM --- LIST ALL MODELS ---
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SETLOCAL ENABLEDELAYEDEXPANSION
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SET COUNT=0
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for %%f in ("%MODELS_DIR%\*.gguf") do (
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SET /A COUNT+=1
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echo !COUNT!. %%~nxf
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SET "MODEL[!COUNT!]=%%~nxf"
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)
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echo.
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set /p choice=Enter the model number to load:
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IF "%choice%"=="" (
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echo No selection made. Exiting...
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pause
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exit /b
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)
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SET SELECTED_MODEL=!MODEL[%choice%]!
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echo.
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echo ✅ Selected model: %SELECTED_MODEL%
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echo ---------------------------------------------
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SET MODEL_PATH="%MODELS_DIR%\%SELECTED_MODEL%"
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echo Starting llama-server with %SELECTED_MODEL% on GPU...
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echo.
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REM --- START SERVER ---
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start "" "%SERVER_EXE%" --n-gpu-layers %GPU_LAYERS% --ctx-size %CONTEXT_SIZE% --port %PORT% --host %HOST_IP% -m %MODEL_PATH%
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REM --- OPEN CHROME AUTOMATICALLY ---
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timeout /t 2 >nul
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start "" chrome http://127.0.0.1:%PORT%/
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echo.
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echo 🦙 Server started. Browser should open automatically.
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pause
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