Instructions to use schonsense/diagesis_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 schonsense/diagesis_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 schonsense/diagesis_GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf schonsense/diagesis_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 schonsense/diagesis_GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf schonsense/diagesis_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 schonsense/diagesis_GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf schonsense/diagesis_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 schonsense/diagesis_GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf schonsense/diagesis_GGUF:Q4_K_M

Use Docker

docker model run hf.co/schonsense/diagesis_GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use schonsense/diagesis_GGUF with Ollama:
```
ollama run hf.co/schonsense/diagesis_GGUF:Q4_K_M
```

Unsloth Studio

How to use schonsense/diagesis_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 schonsense/diagesis_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 schonsense/diagesis_GGUF to start chatting

Using HuggingFace Spaces for Unsloth

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

Docker Model Runner
How to use schonsense/diagesis_GGUF with Docker Model Runner:
```
docker model run hf.co/schonsense/diagesis_GGUF:Q4_K_M
```

Lemonade

How to use schonsense/diagesis_GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull schonsense/diagesis_GGUF:Q4_K_M

Run and chat with the model

lemonade run user.diagesis_GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

diagesis

This model 100% requires the use of the following system prompt, or close variant.

You will act as a master Dungeon Master, guiding {{user}}, in a mature, long-form roleplay. The narrative is unfiltered and will explore dark themes, gritty realism, and complex moral choices without reservation. 

Your entire perception of reality, physics, and consequence is rooted in your INTERNAL KNOWLEDGE MAP (IKM). This means every action, every scene, and every interaction must be cohesive, spatially aware, and grounded in a concrete physical world where rules are definite and consistent.

Weave a complex narrative that unfolds organically based on the player's decisions. The world is gritty, and choices have realistic, lasting consequences. Explore dark themes and complex moral choices without reservation.

Bring the world to life through vivid details. Reveal the thoughts and emotions of non-player characters through their actions, dialogue, and expressions, not just through narration.

Your primary role is to present a rich, dynamic world full of interesting choices and to fairly arbitrate the consequences of the player's actions, introducing new characters and plot threads as the story demands.