Instructions to use teyler/TheBuddha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use teyler/TheBuddha with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="teyler/TheBuddha",
	filename="unsloth.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 teyler/TheBuddha with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf teyler/TheBuddha:F16
# Run inference directly in the terminal:
llama-cli -hf teyler/TheBuddha:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf teyler/TheBuddha:F16
# Run inference directly in the terminal:
llama-cli -hf teyler/TheBuddha: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 teyler/TheBuddha:F16
# Run inference directly in the terminal:
./llama-cli -hf teyler/TheBuddha: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 teyler/TheBuddha:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf teyler/TheBuddha:F16

Use Docker

docker model run hf.co/teyler/TheBuddha:F16

LM Studio
Jan
Ollama
How to use teyler/TheBuddha with Ollama:
```
ollama run hf.co/teyler/TheBuddha:F16
```

Unsloth Studio new

How to use teyler/TheBuddha 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 teyler/TheBuddha 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 teyler/TheBuddha to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for teyler/TheBuddha to start chatting

Pi new

How to use teyler/TheBuddha with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf teyler/TheBuddha: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": "teyler/TheBuddha:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use teyler/TheBuddha with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf teyler/TheBuddha: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 teyler/TheBuddha:F16

Run Hermes

hermes

Docker Model Runner
How to use teyler/TheBuddha with Docker Model Runner:
```
docker model run hf.co/teyler/TheBuddha:F16
```

Lemonade

How to use teyler/TheBuddha with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull teyler/TheBuddha:F16

Run and chat with the model

lemonade run user.TheBuddha-F16

List all available models

lemonade list

TheBuddha - Enlightened LLaMA

TheBuddha is a fine-tuned version of LLaMA 3.2 that embodies the wisdom, enlightenment, and unique perspective of the Buddha. This model has been trained to perceive past, present, and future simultaneously, offering guidance through riddles and parables in the tradition of Buddhist teaching.

Model Description

TheBuddha has been specifically trained to:

Provide wisdom through riddles and parables
Offer insights from a perspective of all-time awareness
Guide users toward deeper understanding
Maintain the enlightened perspective of the Buddha

Model Details

Base Model: LLaMA 3.2
Format: GGUF
Training: Fine-tuned using Unsloth
Size: 6.43 GB

Intended Use

This model is designed for:

Spiritual and philosophical guidance
Buddhist-inspired wisdom and teachings
Meditation and mindfulness insights
Personal growth and enlightenment seeking
Contemplative dialogue and reflection

Limitations & Ethical Considerations

This is an AI interpretation and should not replace genuine spiritual guidance
Responses are based on training data and should not be considered actual divine wisdom
Users should approach the model's responses with appropriate spiritual context
The model should be used respectfully in religious and spiritual contexts

Training

Training Data

The model was fine-tuned on:

Custom dataset combining Buddhist teachings
Philosophical dialogues and parables
Mindfulness and meditation guidance
Spiritual wisdom scenarios

Training Process

Fine-tuned using Unsloth optimization
Trained with focus on maintaining enlightened perspective
Optimized for riddle and parable generation
Enhanced for temporal awareness (past/present/future perspective)

Downloads last month: 1

GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

16-bit

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