Instructions to use PixelPanda1/WellMinded_Therapy_Engine-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use PixelPanda1/WellMinded_Therapy_Engine-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="PixelPanda1/WellMinded_Therapy_Engine-gguf", filename="psychologistv2-8.0B-Q4_0.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 PixelPanda1/WellMinded_Therapy_Engine-gguf with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0 # Run inference directly in the terminal: llama-cli -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0 # Run inference directly in the terminal: llama-cli -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0
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 PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0
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 PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0
Use Docker
docker model run hf.co/PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0
- LM Studio
- Jan
- Ollama
How to use PixelPanda1/WellMinded_Therapy_Engine-gguf with Ollama:
ollama run hf.co/PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0
- Unsloth Studio new
How to use PixelPanda1/WellMinded_Therapy_Engine-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 PixelPanda1/WellMinded_Therapy_Engine-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 PixelPanda1/WellMinded_Therapy_Engine-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for PixelPanda1/WellMinded_Therapy_Engine-gguf to start chatting
- Docker Model Runner
How to use PixelPanda1/WellMinded_Therapy_Engine-gguf with Docker Model Runner:
docker model run hf.co/PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0
- Lemonade
How to use PixelPanda1/WellMinded_Therapy_Engine-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0
Run and chat with the model
lemonade run user.WellMinded_Therapy_Engine-gguf-Q4_0
List all available models
lemonade list
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0# Run inference directly in the terminal:
llama-cli -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0Use 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 PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0# Run inference directly in the terminal:
./llama-cli -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0Build 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 PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0# Run inference directly in the terminal:
./build/bin/llama-cli -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0Use Docker
docker model run hf.co/PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0Quick Links
WellMinded Therapy Engine (8B Q4_0)
This is a fine-tuned version of the LLaMA 3.1 8B model, optimized for psychologist-like conversations. The model is quantized to 4-bit precision (Q4_0) for efficient inference.
Usage
You can load and use this model with the llama-cpp-python library:
from llama_cpp import Llama
llm = Llama(model_path="psychologistv2-8.0B-Q4_0.gguf")
response = llm("Hi, I'm feeling stressed lately.")
print(response["choices"][0]["text"])
- Downloads last month
- 19
Hardware compatibility
Log In to add your hardware
4-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
Model tree for PixelPanda1/WellMinded_Therapy_Engine-gguf
Base model
meta-llama/Llama-3.1-8B
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0# Run inference directly in the terminal: llama-cli -hf PixelPanda1/WellMinded_Therapy_Engine-gguf:Q4_0