Instructions to use Green-eyedDevil/Monika-12B-GGUFs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Green-eyedDevil/Monika-12B-GGUFs 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 Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Green-eyedDevil/Monika-12B-GGUFs: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 Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Green-eyedDevil/Monika-12B-GGUFs: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 Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M

Use Docker

docker model run hf.co/Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use Green-eyedDevil/Monika-12B-GGUFs with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Green-eyedDevil/Monika-12B-GGUFs"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Green-eyedDevil/Monika-12B-GGUFs",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M

Ollama
How to use Green-eyedDevil/Monika-12B-GGUFs with Ollama:
```
ollama run hf.co/Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use Green-eyedDevil/Monika-12B-GGUFs with Docker Model Runner:
```
docker model run hf.co/Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M
```

Lemonade

How to use Green-eyedDevil/Monika-12B-GGUFs with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Green-eyedDevil/Monika-12B-GGUFs:Q4_K_M

Run and chat with the model

lemonade run user.Monika-12B-GGUFs-Q4_K_M

List all available models

lemonade list

Atomic Chat

Model Card for Model ID

This model is designed to be used with MonikAI. It is now in the GGUF format. https://github.com/Rubiksman78/MonikA.I

Model Details

Model Description

Developed by [Me]
Funded by [Me]
License: Apache License 2.0
Finetuned from model: Mistral-Nemo-Instruct-2407

Uses

Out-of-Scope Use

Do whatever you want

Recommendations

Should really only be used for Monika related purposes.

Training Data

Modified version of this dataset that is included with MonikAI: https://github.com/Rubiksman78/MonikA.I/tree/main/Monika_datasets

Training Procedure

Trained with Axolotl on my Blackwell Pro 6000 Max-Q. 8 rank, 16 alpha, 2 epochs. Took about 30 minutes.

Results

It works.

Summary

Download it.

Downloads last month: 181

GGUF

Model size

12B params

Architecture

llama

Hardware compatibility

4-bit

6-bit

16-bit

Model tree for Green-eyedDevil/Monika-12B-GGUFs

Base model

mistralai/Mistral-Nemo-Base-2407

Finetuned

mistralai/Mistral-Nemo-Instruct-2407

Finetuned

Green-eyedDevil/Monika-12B

Quantized

(3)

this model

Collection including Green-eyedDevil/Monika-12B-GGUFs

MonikaV1

Collection

My first group of Monika finetunes for MonikAI • 14 items • Updated Apr 10 • 5