Instructions to use Andy-ML-And-AI/SocratesAI-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Andy-ML-And-AI/SocratesAI-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Andy-ML-And-AI/SocratesAI-GGUF",
	filename="SocratesAI-v0.3-Q4_K_M.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 Andy-ML-And-AI/SocratesAI-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Andy-ML-And-AI/SocratesAI-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 Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Andy-ML-And-AI/SocratesAI-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 Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use Andy-ML-And-AI/SocratesAI-GGUF with Ollama:
```
ollama run hf.co/Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M
```

Unsloth Studio new

How to use Andy-ML-And-AI/SocratesAI-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 Andy-ML-And-AI/SocratesAI-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 Andy-ML-And-AI/SocratesAI-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Andy-ML-And-AI/SocratesAI-GGUF to start chatting

Pi new

How to use Andy-ML-And-AI/SocratesAI-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M

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": "Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Andy-ML-And-AI/SocratesAI-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 Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M

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 Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use Andy-ML-And-AI/SocratesAI-GGUF with Docker Model Runner:
```
docker model run hf.co/Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M
```

Lemonade

How to use Andy-ML-And-AI/SocratesAI-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Andy-ML-And-AI/SocratesAI-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.SocratesAI-GGUF-Q4_K_M

List all available models

lemonade list

SocratesAI (GGUF Edition)

The Digital Gadfly | High-Precision Philosophical Reasoning | Mobile-Ready

"I cannot teach anybody anything. I can only make them think." — SocratesAI

Project Overview

SocratesAI is a fine-tuned version of Mistral-7B-v0.3, engineered to move beyond standard LLM "assistant" behavior. Instead of providing direct answers, this model utilizes the Socratic Method to challenge assumptions, expose contradictions, and guide the user toward their own insights.

This repository contains the GGUF version, optimized for local execution on laptops, smartphones, and edge devices.

GGUF Specifications

Format: GGUF (Llama.cpp compatible)
Quantization: Q4_K_M (Optimal balance of intelligence and size)
Base Architecture: Mistral-7B-v0.3
Optimized via: Unsloth (2x faster inference, lower VRAM footprint)

Persona & Capabilities

Unlike standard chatbots, SocratesAI is:

Inquisitive: It asks more questions than it answers.
Ironical: It uses gentle irony to highlight logical fallacies.
Persistent: It encourages deep critical thinking rather than shallow consensus.

Local Execution

To run Socrates locally using llama.cpp:

./main -m SocratesAI-Q4_K_M.gguf -n 512 --prompt "User: What is justice? \nSocratesAI:"

Downloads last month: 25

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

Inference Providers NEW

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

Model tree for Andy-ML-And-AI/SocratesAI-GGUF

Base model

mistralai/Mistral-7B-v0.3

Quantized

(85)

this model