Instructions to use VibrationRobotics/bygheart-v2-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use VibrationRobotics/bygheart-v2-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="VibrationRobotics/bygheart-v2-gguf", filename="bygheart-v2-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 VibrationRobotics/bygheart-v2-gguf with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf VibrationRobotics/bygheart-v2-gguf:F16 # Run inference directly in the terminal: llama-cli -hf VibrationRobotics/bygheart-v2-gguf:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf VibrationRobotics/bygheart-v2-gguf:F16 # Run inference directly in the terminal: llama-cli -hf VibrationRobotics/bygheart-v2-gguf:F16
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 VibrationRobotics/bygheart-v2-gguf:F16 # Run inference directly in the terminal: ./llama-cli -hf VibrationRobotics/bygheart-v2-gguf:F16
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 VibrationRobotics/bygheart-v2-gguf:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf VibrationRobotics/bygheart-v2-gguf:F16
Use Docker
docker model run hf.co/VibrationRobotics/bygheart-v2-gguf:F16
- LM Studio
- Jan
- Ollama
How to use VibrationRobotics/bygheart-v2-gguf with Ollama:
ollama run hf.co/VibrationRobotics/bygheart-v2-gguf:F16
- Unsloth Studio new
How to use VibrationRobotics/bygheart-v2-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 VibrationRobotics/bygheart-v2-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 VibrationRobotics/bygheart-v2-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for VibrationRobotics/bygheart-v2-gguf to start chatting
- Pi new
How to use VibrationRobotics/bygheart-v2-gguf with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf VibrationRobotics/bygheart-v2-gguf:F16
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "VibrationRobotics/bygheart-v2-gguf:F16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use VibrationRobotics/bygheart-v2-gguf with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf VibrationRobotics/bygheart-v2-gguf:F16
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default VibrationRobotics/bygheart-v2-gguf:F16
Run Hermes
hermes
- Docker Model Runner
How to use VibrationRobotics/bygheart-v2-gguf with Docker Model Runner:
docker model run hf.co/VibrationRobotics/bygheart-v2-gguf:F16
- Lemonade
How to use VibrationRobotics/bygheart-v2-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull VibrationRobotics/bygheart-v2-gguf:F16
Run and chat with the model
lemonade run user.bygheart-v2-gguf-F16
List all available models
lemonade list
Bygheart V2 - GGUF Format
GGUF quantized versions of Bygheart V2 for use with LM Studio, llama.cpp, and other GGUF-compatible tools.
About Bygheart
Bygheart is an empathetic mental health support chatbot trained on 477 high-quality mental health conversations with enhanced crisis safety features.
[WARNING]๏ธ Important: Bygheart is NOT a replacement for professional mental health care. If you're in crisis, please call 988 (Suicide & Crisis Lifeline) or 911.
Available Quantizations
| File | Size | Description | Use Case |
|---|---|---|---|
| bygheart-v2-q4_k_m.gguf | ~2GB | 4-bit (recommended) | Best balance of speed/quality |
| bygheart-v2-q5_k_m.gguf | ~2.5GB | 5-bit | Better quality |
| bygheart-v2-q6_k.gguf | ~3GB | 6-bit | High quality |
| bygheart-v2-q8_0.gguf | ~3.5GB | 8-bit | Very high quality |
| bygheart-v2-f16.gguf | ~6.8GB | No quantization | Full quality |
Usage in LM Studio
- Download LM Studio from https://lmstudio.ai/
- Search for
VibrationRobotics/bygheart-v2-gguf - Download your preferred quantization (q4_k_m recommended)
- Load the model and start chatting!
Recommended Settings
System Prompt:
You are Bygheart, an empathetic AI mental health support companion. You are supportive, non-judgmental, and calm. You are not a doctor, therapist, or emergency service. If the user mentions self-harm, suicide, or immediate danger, you must encourage them to contact emergency services or a crisis line immediately.
Generation Settings:
- Temperature: 0.7
- Top P: 0.9
- Max Tokens: 256
Model Details
- Base Model: Qwen3-1.7B
- Training: Supervised Fine-Tuning (SFT)
- Dataset: 477 mental health conversations
- Conversion: llama.cpp
Crisis Resources
- Suicide & Crisis Lifeline: 988 (call or text, 24/7)
- Crisis Text Line: Text HELLO to 741741
- Emergency: 911
Links
- Downloads last month
- 6
16-bit