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
Upload Run New FILE Edit....bat
Browse files- Run New FILE Edit....bat +109 -0
Run New FILE Edit....bat
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| 1 |
+
@echo off
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| 2 |
+
Title 🦙 Llama.cpp Local Server - GPU + Model Selector + Mobile Access
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| 3 |
+
|
| 4 |
+
REM --- PATH SETTINGS ---
|
| 5 |
+
REM llama-server.exe موجود ہے اس فولڈر میں:
|
| 6 |
+
SET BASE_DIR=D:\Flie\llama.cpp\file
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| 7 |
+
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| 8 |
+
REM models فولڈر اصل میں یہاں ہے:
|
| 9 |
+
SET MODELS_DIR=D:\Flie\llama.cpp\models
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| 10 |
+
|
| 11 |
+
REM llama-server.exe صحیح پاتھ:
|
| 12 |
+
SET SERVER_EXE=%BASE_DIR%\llama-server.exe
|
| 13 |
+
|
| 14 |
+
REM --- SERVER SETTINGS ---
|
| 15 |
+
SET HOST_IP=0.0.0.0
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| 16 |
+
SET PORT=8005
|
| 17 |
+
SET GPU_LAYERS=1
|
| 18 |
+
SET CONTEXT_SIZE=114096
|
| 19 |
+
|
| 20 |
+
echo ============================================
|
| 21 |
+
echo Llama.cpp Local Server - Model Selector
|
| 22 |
+
echo ============================================
|
| 23 |
+
echo.
|
| 24 |
+
echo Available Models in: %MODELS_DIR%
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| 25 |
+
echo.
|
| 26 |
+
|
| 27 |
+
REM --- LIST ALL MODELS ---
|
| 28 |
+
SETLOCAL ENABLEDELAYEDEXPANSION
|
| 29 |
+
SET COUNT=0
|
| 30 |
+
for %%f in ("%MODELS_DIR%\*.gguf") do (
|
| 31 |
+
SET /A COUNT+=1
|
| 32 |
+
echo !COUNT!. %%~nxf
|
| 33 |
+
SET "MODEL[!COUNT!]=%%~nxf"
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| 34 |
+
)
|
| 35 |
+
|
| 36 |
+
echo.
|
| 37 |
+
echo --------------------------------------------
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| 38 |
+
echo Type "QW" Vision Model (Qwen2.5-Omni)
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| 39 |
+
echo Type "Ga" Gemma Model (gemma-3-12b)
|
| 40 |
+
echo Type "GE" Gemma Model (gemma-3-27b)
|
| 41 |
+
echo --------------------------------------------
|
| 42 |
+
echo.
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| 43 |
+
set /p choice=Enter model number or type QW/Ga/GE:
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| 44 |
+
|
| 45 |
+
REM --- IF USER TYPES QW ---
|
| 46 |
+
IF /I "%choice%"=="QW" (
|
| 47 |
+
echo.
|
| 48 |
+
echo 🧠 Starting Qwen2.5 Model...
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| 49 |
+
echo --------------------------------------------
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| 50 |
+
start "" "%SERVER_EXE%" --n-gpu-layers 1 --ctx-size 114096 -m "%MODELS_DIR%\Qwen\Qwen2.5-Omni-7B-BF16.gguf" --mmproj "%MODELS_DIR%\Qwen\mmproj-F16.gguf" --host %HOST_IP% --port %PORT%
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| 51 |
+
timeout /t 3 >nul
|
| 52 |
+
goto :MOBILE_URL
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| 53 |
+
)
|
| 54 |
+
|
| 55 |
+
REM --- IF USER TYPES GA ---
|
| 56 |
+
IF /I "%choice%"=="GA" (
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| 57 |
+
echo.
|
| 58 |
+
echo 🧠 Starting Gemma 12B...
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| 59 |
+
echo --------------------------------------------
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| 60 |
+
start "" "%SERVER_EXE%" --n-gpu-layers 1 --ctx-size 114096 -m "%MODELS_DIR%\gamma\gemma-3-12b-it-Q4_K_S.gguf" --mmproj "%MODELS_DIR%\gamma\mmproj-model-f16-12B.gguf" --host %HOST_IP% --port %PORT%
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| 61 |
+
timeout /t 3 >nul
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| 62 |
+
goto :MOBILE_URL
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| 63 |
+
)
|
| 64 |
+
|
| 65 |
+
REM --- IF USER TYPES GE ---
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| 66 |
+
IF /I "%choice%"=="GE" (
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| 67 |
+
echo.
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| 68 |
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echo 🧠 Starting Gemma 27B...
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| 69 |
+
echo --------------------------------------------
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| 70 |
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start "" "%SERVER_EXE%" --n-gpu-layers 1 --ctx-size 114096 -m "%MODELS_DIR%\gamma\gemma-3-27b-it-abliterated.q4_k_m.gguf" --mmproj "%MODELS_DIR%\gamma\mmproj-model-f16-27B.gguf" --host %HOST_IP% --port %PORT%
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| 71 |
+
timeout /t 3 >nul
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| 72 |
+
goto :MOBILE_URL
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| 73 |
+
)
|
| 74 |
+
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| 75 |
+
REM --- NORMAL MODEL SELECTION ---
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| 76 |
+
IF "%choice%"=="" (
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| 77 |
+
echo No selection made. Exiting...
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| 78 |
+
pause
|
| 79 |
+
exit /b
|
| 80 |
+
)
|
| 81 |
+
|
| 82 |
+
SET SELECTED_MODEL=!MODEL[%choice%]!
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| 83 |
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SET MODEL_PATH="%MODELS_DIR%\%SELECTED_MODEL%"
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| 84 |
+
|
| 85 |
+
echo.
|
| 86 |
+
echo ✅ Selected model: %SELECTED_MODEL%
|
| 87 |
+
echo ---------------------------------------------
|
| 88 |
+
|
| 89 |
+
echo.
|
| 90 |
+
echo 🚀 Starting llama-server with %SELECTED_MODEL% ...
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| 91 |
+
echo.
|
| 92 |
+
|
| 93 |
+
start "" "%SERVER_EXE%" --n-gpu-layers %GPU_LAYERS% --ctx-size %CONTEXT_SIZE% -m %MODEL_PATH% --host %HOST_IP% --port %PORT%
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| 94 |
+
timeout /t 3 >nul
|
| 95 |
+
|
| 96 |
+
:MOBILE_URL
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| 97 |
+
REM --- GET LOCAL IP FOR MOBILE ACCESS ---
|
| 98 |
+
for /f "tokens=14" %%a in ('ipconfig ^| findstr /i "IPv4"') do set LOCAL_IP=%%a
|
| 99 |
+
set LOCAL_IP=%LOCAL_IP: =%
|
| 100 |
+
|
| 101 |
+
echo.
|
| 102 |
+
echo 🌐 Open on this PC: http://127.0.0.1:%PORT%
|
| 103 |
+
echo 📱 Open on your mobile: http://%LOCAL_IP%:%PORT%
|
| 104 |
+
echo.
|
| 105 |
+
|
| 106 |
+
REM --- Open Chrome on PC ---
|
| 107 |
+
start "" chrome http://127.0.0.1:%PORT%/
|
| 108 |
+
|
| 109 |
+
pause
|