Instructions to use passthepizza/NarrativAI-Reflection-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use passthepizza/NarrativAI-Reflection-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="passthepizza/NarrativAI-Reflection-GGUF",
	filename="NarrativAI_Reflection.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 passthepizza/NarrativAI-Reflection-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf passthepizza/NarrativAI-Reflection-GGUF
# Run inference directly in the terminal:
llama-cli -hf passthepizza/NarrativAI-Reflection-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf passthepizza/NarrativAI-Reflection-GGUF
# Run inference directly in the terminal:
llama-cli -hf passthepizza/NarrativAI-Reflection-GGUF

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 passthepizza/NarrativAI-Reflection-GGUF
# Run inference directly in the terminal:
./llama-cli -hf passthepizza/NarrativAI-Reflection-GGUF

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 passthepizza/NarrativAI-Reflection-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf passthepizza/NarrativAI-Reflection-GGUF

Use Docker

docker model run hf.co/passthepizza/NarrativAI-Reflection-GGUF

LM Studio
Jan
Ollama
How to use passthepizza/NarrativAI-Reflection-GGUF with Ollama:
```
ollama run hf.co/passthepizza/NarrativAI-Reflection-GGUF
```

Unsloth Studio new

How to use passthepizza/NarrativAI-Reflection-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 passthepizza/NarrativAI-Reflection-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 passthepizza/NarrativAI-Reflection-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for passthepizza/NarrativAI-Reflection-GGUF to start chatting

Pi new

How to use passthepizza/NarrativAI-Reflection-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf passthepizza/NarrativAI-Reflection-GGUF

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": "passthepizza/NarrativAI-Reflection-GGUF"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use passthepizza/NarrativAI-Reflection-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 passthepizza/NarrativAI-Reflection-GGUF

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 passthepizza/NarrativAI-Reflection-GGUF

Run Hermes

hermes

Docker Model Runner
How to use passthepizza/NarrativAI-Reflection-GGUF with Docker Model Runner:
```
docker model run hf.co/passthepizza/NarrativAI-Reflection-GGUF
```

Lemonade

How to use passthepizza/NarrativAI-Reflection-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull passthepizza/NarrativAI-Reflection-GGUF

Run and chat with the model

lemonade run user.NarrativAI-Reflection-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

NarrativAI Reflection

Model Name: NarrativAI Reflection

Base Model: Llama 3.1 8B

Model Description: NarrativAI Reflection is a fine-tuned language model based on Llama 3.1 8B designed to generate internal monologue (pre-response thought, post-response reflection) and dialogue for roleplay actions.

Training Objective: The model was fine-tuned on a dataset containing prompts describing fictional scenarios with characters and their emotional states, along with corresponding responses that include pre-response thoughts, dialogue/action, and post-response reflections. The objective is to enable the model to generate believable internal monologue and dialogue that reflects the character's personality, emotions, and the context of the scenario.

Intended Use: NarrativAI Reflection is intended for creative writing and role-playing applications.

Limitations:

Limited context: The model's understanding of the scenario is based solely on the provided prompt. It may struggle with complex scenarios or require additional context to generate accurate responses.
Bias and Stereotypes: The training data may contain biases and stereotypes, which could be reflected in the model's generated text.
Lack of real-world knowledge: The model's knowledge is limited to the information present in the training data. It may not be able to accurately reflect real-world situations or events.

Disclaimer:

NarrativAI Reflection is a research project and should not be used in any application where its limitations could cause harm or misrepresent real-world situations. Users are solely responsible for the ethical and responsible use of the model.

Community Support: NarrativAI Discord