Instructions to use PygmalionAI/Pygmalion-3-12B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use PygmalionAI/Pygmalion-3-12B-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="PygmalionAI/Pygmalion-3-12B-GGUF", filename="Pygmalion-3-12B-F16.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 PygmalionAI/Pygmalion-3-12B-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -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-server -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
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 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/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 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
- 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 Studio
How to use PygmalionAI/Pygmalion-3-12B-GGUF 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 PygmalionAI/Pygmalion-3-12B-GGUF 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 PygmalionAI/Pygmalion-3-12B-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for PygmalionAI/Pygmalion-3-12B-GGUF to start chatting
- 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
Short Review of SFW/NSFW experience using this model
So, I was really curious about this as it's been a long time since Pygmalion has dropped a model.
I tested this for SFW RP and NSFW RP:
Issues:
- Confuses roles and genders
- Doesn't understand relationships consistently
- Hesitates under sexual situations stuttering and repeating
- Often gets stuck in loops repeating itself
- Has problems following formatting even if instructed, whether context/instruct template or system prompt instructs it to do a certain format of responses for example "For dialogue" for actions/thoughts
- Lacks NSFW training data
- Continuity in group chats leads to role/character/confusion - doesn't even form sentences properly
Good things:
- Nice change of pace compared to other models/vocabulary and personality of characters
- Seems neutral in regard to most topics even if hesitant
- Lacks NSFW training data (good if looking for SFW RP)
Considering the behavior of this model, I believe there was something that went wrong in training because even a censored model usually doesn't have this much trouble keeping track of things.
Assuming they refine it in future iterations it might be amazing but as it currently stands, I cannot recommend it. But I look forward to seeing what else they might do.
It's a shame because it shows a lot of promise.