Instructions to use PygmalionAI/Pygmalion-3-12B-GGUF 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 PygmalionAI/Pygmalion-3-12B-GGUF 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 PygmalionAI/Pygmalion-3-12B-GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf PygmalionAI/Pygmalion-3-12B-GGUF:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf PygmalionAI/Pygmalion-3-12B-GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf PygmalionAI/Pygmalion-3-12B-GGUF: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 PygmalionAI/Pygmalion-3-12B-GGUF:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama cli -hf PygmalionAI/Pygmalion-3-12B-GGUF:Q4_K_S
Use Docker
docker model run hf.co/PygmalionAI/Pygmalion-3-12B-GGUF:Q4_K_S
- Llama new
- LM Studio
- Jan
- Ollama
How to use PygmalionAI/Pygmalion-3-12B-GGUF with Ollama:
ollama run hf.co/PygmalionAI/Pygmalion-3-12B-GGUF:Q4_K_S
- Unsloth Desktop
- Docker Model Runner
How to use PygmalionAI/Pygmalion-3-12B-GGUF with Docker Model Runner:
docker model run hf.co/PygmalionAI/Pygmalion-3-12B-GGUF:Q4_K_S
- Lemonade
How to use PygmalionAI/Pygmalion-3-12B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull PygmalionAI/Pygmalion-3-12B-GGUF:Q4_K_S
Run and chat with the model
lemonade run user.Pygmalion-3-12B-GGUF-Q4_K_S
List all available models
lemonade list
- Atomic Chat
Download Pygmalion-3-12B-IQ4_XS.gguf from PygmalionAI/Pygmalion-3-12B-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 6.74 GB
-
https://huggingface.co/PygmalionAI/Pygmalion-3-12B-GGUF/resolve/main/Pygmalion-3-12B-IQ4_XS.gguf
- Command line
-
hf download hf://PygmalionAI/Pygmalion-3-12B-GGUF/Pygmalion-3-12B-IQ4_XS.gguf
-
curl -L -o Pygmalion-3-12B-IQ4_XS.gguf https://huggingface.co/PygmalionAI/Pygmalion-3-12B-GGUF/resolve/main/Pygmalion-3-12B-IQ4_XS.gguf
6.74 GB
- Xet hash:
- 326bfaca4a393b605f25491d5e439357024767ac37db45734f8275a1a3d0fa7f
- Size of remote file:
- 6.74 GB
- SHA256:
- 09210bac6d3cbfd81a4ea8bcd8cdf024d1307dd10351816a42bbb7eceea16ebf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.