How to use from
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
Quick 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"])
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Architecture
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