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
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
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
- Atomic Chat
| license: apache-2.0 | |
| tags: | |
| - 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 | |
| nzgnzg73 | |
| llama_cpp_WebUI | |
| Github | |
| https://github.com/nzgnzg73/llama_cpp_WebUI | |
| ## Want to talk or ask something? | |
| Just click the YouTube link below! You'll find my π§ email there and can message me easily. π | |
| π₯ YouTube Channel: @nzg73 | |
| π https://youtube.com/@NZG73 | |
| ## Contact Email πππ | |
| E-mail:- | |
| nzgnzg73@gmail.com | |
| llama Cpp (cp\gpu) | |
| Old Version llama cpp ππππ | |
| llama-b7200-bin-win-cpu-x64.zip | |
| NEW Update Version llama cpp ππππ | |
| llama-b7541-bin-win-cpu-x64 | |
| llama-b7243-bin-win-cuda-12.4-x64 | |
|  | |
| ## Llama Model Switcher | |
| CMD | |
| model_switcher.py | |
| pip install flask | |
| pip install flask psutil GPUtil | |
|  | |
|  | |
| ## Image-Text-to-Text Models | |
| ## Gemma-3 | |
| CPU. RAM 20GB | |
| OR | |
| GPU. 4 VRAM | |
|  | |
| 1. gemma-3-12b-it-Q4_K_S.gguf | |
| 2. mmproj-model-f16-12B.gguf | |
| ## -Text-to-Text Models | |
| ## GPT OSS 20 | |
|  | |
|  | |
| ## Qwen3 | |
| CPU. RAM 25GB | |
| OR | |
| GPU. 4 VRAM | |
| 1. Qwen3-VL-2B-Instruct-Q8_0.gguf | |
| 2. mmproj-Qwen3-VL-2B-Instruct-Q8_0.gguf | |
|  | |
| ## Qwen2.5-Omni | |
| CPU. RAM 40GB | |
| OR | |
| GPU. 8 VRAM | |
| 1. Qwen2.5-Omni-7B-BF16.gguf | |
| 2. mmproj-F16.gguf 2GB | |
|  | |
| ## Audio-Text-to-Text | |
| ## Llama-3.2 | |
| CPU. RAM 10GB | |
|  | |
| 1. Llama-3.2-1B-Instruct-Q4_K_M.gguf | |
| 2. Llama-3.2-1B-Instruct-Q8_0.gguf | |
| 3. mmproj-ultravox-v0_5-llama-3_2-1b-f16.gguf | |
| ## run.bat | |
| Local Server | |
| 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 0.0.0.0Β --portΒ 8005 | |
| public URL | |
| 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 127.0.0.1Β --portΒ 8083 |