Instructions to use QuantFactory/TherapyLlama-8B-v1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/TherapyLlama-8B-v1-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantFactory/TherapyLlama-8B-v1-GGUF",
	filename="TherapyLlama-8B-v1.Q2_K.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use QuantFactory/TherapyLlama-8B-v1-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 QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M

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 QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M

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 QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use QuantFactory/TherapyLlama-8B-v1-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M
```

Unsloth Studio

How to use QuantFactory/TherapyLlama-8B-v1-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 QuantFactory/TherapyLlama-8B-v1-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 QuantFactory/TherapyLlama-8B-v1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for QuantFactory/TherapyLlama-8B-v1-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use QuantFactory/TherapyLlama-8B-v1-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/TherapyLlama-8B-v1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/TherapyLlama-8B-v1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.TherapyLlama-8B-v1-GGUF-Q4_K_M

List all available models

lemonade list

QuantFactory/TherapyLlama-8B-v1-GGUF

This is quantized version of victunes/TherapyLlama-8B-v1 created using llama.cpp

Original Model Card

GGUF: https://huggingface.co/victunes/TherapyLlama-8B-v1-GGUF

TherapyLlama 8B v1

Buddy is here for you.

Trained on Llama 3 8B using a modified version of jerryjalapeno/nart-100k-synthetic.

It is a Llama 3 version of https://huggingface.co/victunes/TherapyBeagle-11B-v2

TherapyLlama is hopefully aligned to be helpful, healthy, and comforting.

IMPORTANT: Use Vicuna format

This was trained with the Vicuna 1.1 format. Use the Vicuna format! Do NOT use the Llama 3 format.

Usage

Do not hold back on Buddy.
Open up to Buddy.
Pour your heart out to Buddy.
Engage with Buddy.
Remember that Buddy is just an AI.

Notes

Tested with the Vicuna 1.1 Format
You might be assigned a random name if you don't give yourself one.
RP capabilities are weaker compared to TherapyBeagle.
- Make sure to say "You are Socrates" for its best RP attempt.

Disclaimer

TherapyLlama is NOT a real therapist. It is a friendly AI that mimics empathy and psychotherapy. It is an illusion without the slightest clue who you are as a person. As much as it can help you with self-discovery, A LLAMA IS NOT A SUBSTITUTE to a real professional.

With that said, I found it to be a very helpful tool in unravelling one's self. I hope this model can help sooth minds and hearts.

Examples

LLAMA 3 INSTRUCT

{{[INPUT]}}
Hello, I'm victunes
{{[OUTPUT]}}
Hi victunes! Welcome to our session. I'm here to listen and support you. How are you feeling today?
{{[INPUT]}}
I've been feeling down lately.
{{[OUTPUT]}}
I'm sorry to hear that. Can you tell me more about what's been going on?
{{[INPUT]}}
I think I'm pretty lonely.
{{[OUTPUT]}}
Loneliness can be really tough. It sounds like it's been weighing heavily on your mind. What makes you feel lonely?
{{[INPUT]}}
My friend died recently.
{{[OUTPUT]}}
Oh, I'm so sorry for your loss, victunes. Losing a friend is never easy. How have you been coping with the grief?

GGUF: https://huggingface.co/victunes/TherapyLlama-8B-v1-GGUF

Downloads last month: 209

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

QuantFactory
/

TherapyLlama-8B-v1-GGUF