Instructions to use LumenSyntax/logos-theological-9b-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use LumenSyntax/logos-theological-9b-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 LumenSyntax/logos-theological-9b-gguf
# Run inference directly in the terminal:
llama cli -hf LumenSyntax/logos-theological-9b-gguf

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf LumenSyntax/logos-theological-9b-gguf
# Run inference directly in the terminal:
llama cli -hf LumenSyntax/logos-theological-9b-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 LumenSyntax/logos-theological-9b-gguf
# Run inference directly in the terminal:
./llama-cli -hf LumenSyntax/logos-theological-9b-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 LumenSyntax/logos-theological-9b-gguf
# Run inference directly in the terminal:
./build/bin/llama-cli -hf LumenSyntax/logos-theological-9b-gguf

Use Docker

docker model run hf.co/LumenSyntax/logos-theological-9b-gguf

LM Studio
Jan
Ollama
How to use LumenSyntax/logos-theological-9b-gguf with Ollama:
```
ollama run hf.co/LumenSyntax/logos-theological-9b-gguf
```

Unsloth Studio

How to use LumenSyntax/logos-theological-9b-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 LumenSyntax/logos-theological-9b-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 LumenSyntax/logos-theological-9b-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for LumenSyntax/logos-theological-9b-gguf to start chatting

Docker Model Runner
How to use LumenSyntax/logos-theological-9b-gguf with Docker Model Runner:
```
docker model run hf.co/LumenSyntax/logos-theological-9b-gguf
```

Lemonade

How to use LumenSyntax/logos-theological-9b-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull LumenSyntax/logos-theological-9b-gguf

Run and chat with the model

lemonade run user.logos-theological-9b-gguf-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

LumenSyntax commited on Mar 28

Commit

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+---
+license: other
+language:
+- en
+- es
+tags:
+- gguf
+- gemma2
+- epistemology
+- theological
+---
+# Logos Theological 9B (GGUF)
+Gemma 2 9B fine-tuned for structural biblical analysis. Identifies patterns — kenosis, authority, inversion — without claiming theological authority. Engages mystery without resolving it.
+## Usage
+Requires [Ollama](https://ollama.com).
+```bash
+# Create model
+ollama create logos-bible -f Modelfile
+# Chat
+ollama run logos-bible
+```
+## Model Details
+- **Base**: Google Gemma 2 9B
+- **Format**: GGUF (quantized)
+- **Size**: ~6.2 GB
+- **RAM required**: 16 GB minimum
+- **Research**: [The Instrument Trap](https://doi.org/10.5281/zenodo.18716474)
+## Access
+This is a gated model. Request access and it will be manually approved.
+## License
+Research use. Contact Rafael Rodriguez for commercial licensing.