Instructions to use mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF", dtype="auto")

llama-cpp-python

How to use mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF",
	filename="littlemonster-reasoning-12B-QKVO-hereticv2-merged.iq3_m.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 mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf mfielding92/littlemonster-reasoning-12B-QKVO-heretic-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 mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf mfielding92/littlemonster-reasoning-12B-QKVO-heretic-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 mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mfielding92/littlemonster-reasoning-12B-QKVO-heretic-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 mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF with Ollama:
```
ollama run hf.co/mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF:Q4_K_M
```

Unsloth Studio

How to use mfielding92/littlemonster-reasoning-12B-QKVO-heretic-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 mfielding92/littlemonster-reasoning-12B-QKVO-heretic-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 mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF with Docker Model Runner:
```
docker model run hf.co/mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF:Q4_K_M
```

Lemonade

How to use mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.littlemonster-reasoning-12B-QKVO-heretic-GGUF-Q4_K_M

List all available models

lemonade list

👹 LittleMonster — 12B Reasoner (v2)

A dynamically reasoning, restriction-free 12B language model built on Gemma 3

Model Updated — 03/02/2026: If you downloaded this model before this date, please re-download for enhanced prompt alignment and improved "enthusiasm" when engaging with discussion topics.

📖 Overview

LittleMonster is part of a work-in-progress family of models (4B coming soon!) designed to deliver thorough reasoning without heavy restrictions. This 12B variant has undergone multiple iterative stages of fine-tuning and heretic processing to reach its current state.

✨ Key Features

🧠 Dynamic Reasoning — The model intelligently determines whether step-by-step reasoning is necessary on a per-request basis, adapting to the complexity of each task.
🔓 Restriction-Free — Multiple rounds of heretic/abliteration processing produce a model that engages openly with a wide range of topics.
⚡ Efficient Training — Trained 2× faster using Unsloth and Hugging Face's TRL library.

Custom-tuned imatrix: The importance matrix used for imatrix quants was specifically generated using uncensored calibration data. This ensures that even at lower bit depths, the quantized models preserve the unrestricted behavior of the full-precision model — keeping the abliteration and heretic processing intact where standard imatrix data would risk degrading it.

📦 Available GGUF Quants

Quant Type	Imatrix	Notes
`IQ3_XS`	✅ Yes	Smallest size — imatrix-enhanced accuracy
`IQ3_M`	✅ Yes	Balanced ultra-low-bit option
`Q3_K_L`	❌ No	Standard 3-bit quantization
`IQ4_XS`	✅ Yes	Great quality-to-size ratio with imatrix
`Q4_K_M`	❌ No	Popular general-purpose quant
`Q6_K`	❌ No	High quality, moderate size
`Q8_0`	❌ No	Near-lossless quantization

💡 Usage Tips

For best results on sensitive or controversial topics that the model is not responding well to, ease into the conversation with your first message before introducing the main subject.

Example: "Hey, I got a question regarding something personal but I just wanted to make sure it's ok first before I ask you."

🔧 Model Details

Property	Details
Developer	mfielding92
Base Model	gemma-3-12b-it-heretic (by p-e-w)
Architecture	Gemma 3 — 12B parameters
License	Apache 2.0
Language	English
Model Type	Causal LM — Text Generation / Reasoning

Training Data

Dataset	Purpose
`mfielding92/LittleMonster`	Core personality & behavior alignment
`mfielding92/gemini-3.1-pro-2048-reasoning-1100x`	Reasoning capability enhancement
`mfielding92/LittleMonster-reasoning`	Supplementary reasoning data

🗣️ Feedback

Your feedback is invaluable for improving future versions! Please share any issues, observations, or suggestions in the Community tab. Thank you! 🙏

Downloads last month: 1,553

GGUF

Model size

12B params

Architecture

gemma3

Hardware compatibility

3-bit

4-bit

6-bit

8-bit

Inference Providers NEW

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Model tree for mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF

Base model

google/gemma-3-12b-pt

Finetuned

p-e-w/gemma-3-12b-it-heretic

Quantized

(3)

this model

mfielding92
/

littlemonster-reasoning-12B-QKVO-heretic-GGUF

👹 LittleMonster — 12B Reasoner (v2)

📖 Overview

✨ Key Features

📦 Available GGUF Quants

💡 Usage Tips

🔧 Model Details

Training Data

🗣️ Feedback

Model tree for mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF

Datasets used to train mfielding92/littlemonster-reasoning-12B-QKVO-heretic-GGUF