Instructions to use 922CA/monika-ddlc-12b-v1-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 922CA/monika-ddlc-12b-v1-gguf with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("922CA/monika-ddlc-12b-v1-gguf", dtype="auto")

llama-cpp-python

How to use 922CA/monika-ddlc-12b-v1-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="922CA/monika-ddlc-12b-v1-gguf",
	filename="monika-ddlc-12b-v1-fp16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use 922CA/monika-ddlc-12b-v1-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf 922CA/monika-ddlc-12b-v1-gguf
# Run inference directly in the terminal:
llama-cli -hf 922CA/monika-ddlc-12b-v1-gguf

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf 922CA/monika-ddlc-12b-v1-gguf
# Run inference directly in the terminal:
llama-cli -hf 922CA/monika-ddlc-12b-v1-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 922CA/monika-ddlc-12b-v1-gguf
# Run inference directly in the terminal:
./llama-cli -hf 922CA/monika-ddlc-12b-v1-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 922CA/monika-ddlc-12b-v1-gguf
# Run inference directly in the terminal:
./build/bin/llama-cli -hf 922CA/monika-ddlc-12b-v1-gguf

Use Docker

docker model run hf.co/922CA/monika-ddlc-12b-v1-gguf

LM Studio
Jan
Ollama
How to use 922CA/monika-ddlc-12b-v1-gguf with Ollama:
```
ollama run hf.co/922CA/monika-ddlc-12b-v1-gguf
```

Unsloth Studio

How to use 922CA/monika-ddlc-12b-v1-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 922CA/monika-ddlc-12b-v1-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 922CA/monika-ddlc-12b-v1-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for 922CA/monika-ddlc-12b-v1-gguf to start chatting

Atomic Chat new
Docker Model Runner
How to use 922CA/monika-ddlc-12b-v1-gguf with Docker Model Runner:
```
docker model run hf.co/922CA/monika-ddlc-12b-v1-gguf
```

Lemonade

How to use 922CA/monika-ddlc-12b-v1-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull 922CA/monika-ddlc-12b-v1-gguf

Run and chat with the model

lemonade run user.monika-ddlc-12b-v1-gguf-{{QUANT_TAG}}

List all available models

lemonade list

monika-ddlc-12b-v1:

Fine-tune for Monika character from DDLC
Fine-tuned on a dataset of ~600+ items (dialogue scraped from game, reddit, and Twitter synthetically augmented by turn each into snippets of multi-turn chat dialogue between Player and Monika; this was then manually edited, with more manually crafted items including info about character added in)
LORAs

USAGE

This is meant to be mainly a chat model with some RP ability.

For best results, use Gemma 3 format:

<start_of_turn>Player\nQUESTION<end_of_turn>\n<start_of_turn>Monika\nREPLY<end_of_turn>

HYPERPARAMS

Tuned for 2 epochs
rank: 16
lora alpha: 16
lora dropout: 0.5
lr: 2e-4
batch size: 2
warmup ratio: 0.1
grad steps: 4

Tested in koboldcpp 1.88 with default settings.

WARNINGS AND DISCLAIMERS

This model is meant to closely reflect the characteristics of Monika. Despite this, there is always the chance that "Monika" will hallucinate and get information about herself wrong or act out of character.

Additionally, being character-focused means that this model may have lost some assistant capability for some specific tasks.

Finally, this model is not guaranteed to output aligned or safe outputs, use at your own risk!