Instructions to use FadedRedStar/Anubis-Mini-8B-v1-heretic-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 FadedRedStar/Anubis-Mini-8B-v1-heretic-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 FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf FadedRedStar/Anubis-Mini-8B-v1-heretic-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 FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf FadedRedStar/Anubis-Mini-8B-v1-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 FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf FadedRedStar/Anubis-Mini-8B-v1-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 FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M

Use Docker

docker model run hf.co/FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M

Ollama
How to use FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF with Ollama:
```
ollama run hf.co/FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M
```
Unsloth Desktop

How to use FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF with Docker Model Runner:
```
docker model run hf.co/FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M
```

Lemonade

How to use FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Anubis-Mini-8B-v1-heretic-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

🤖 Anubis-Mini-8B-v1-heretic — GGUF

This repository hosts GGUF weights for Anubis-Mini-8B-v1-heretic, quantized from the source floating-point tensors provided by coder3101/Anubis-Mini-8B-v1-heretic.

🔄 Sister Repository: Check out the Imatrix Sister Repository for enhanced precision at lower bit fractions.

If you plan on using 4-bit or 5-bit variants, consider the imatrix sister repository instead — importance matrix calibration improves logic retention at those bit depths. This repository is best suited if you want the near-lossless Q8_0 build.

ℹ️ Model Profile & Core Features

Anubis-Mini-8B-v1 is a Llama-3.3-8B fine-tune by TheDrummer, purpose-built for immersive roleplay, collaborative storytelling, and creative writing. TheDrummer's models prioritise creativity, dynamism, imagination, and reduced alignment over benchmark scores — the goal is to broaden the model's range of expression for fiction, TTRPG, and entertainment use cases rather than optimise for factual correctness or safety compliance.

The heretic suffix denotes post-processing via the Heretic v1.3.0 abliteration framework performed by coder3101, which surgically suppresses refusal vectors while preserving the model's core creative and roleplay capabilities.

📋 Technical Specifications

Property	Value
Base Architecture	Llama-3.3-8B dense transformer
Fine-tuned by	TheDrummer
Primary Use	Roleplay, creative writing, storytelling
Context Window	131,072 tokens
Abliteration Tool	Heretic v1.3.0
Abliteration Method	direction_index (single-direction refusal suppression)
Prompt Format	Llama 3 Chat Template

🛠️ Heretic Overrides (ARA)

Property	Value
direction_index	18.95
attn.o_proj.max_weight	1.49
attn.o_proj.max_weight_position	25.33
attn.o_proj.min_weight	1.22
attn.o_proj.min_weight_distance	15.18
mlp.down_proj.max_weight	0.91
mlp.down_proj.max_weight_position	22.67
mlp.down_proj.min_weight	0.67
mlp.down_proj.min_weight_distance	8.69

📊 Refusal Bypass Metrics

The metrics below are self-reported by the original model author (coder3101) and have not been independently reproduced.

Metric	This model	Original (TheDrummer/Anubis-Mini-8B-v1)
KL divergence	0.0082	0 (by definition)
Refusals	6/100	84/100

🧮 Numerical & Tensor Formats

Property	Value
Quantization Type	Q4_K_M, Q5_K_M, Q8_0

📦 Available Model Files

Main model weights

Filename	Quantization	llama.cpp Build	Size	Download
`Anubis-Mini-8B-v1-heretic-Q4_K_M.gguf`	`Q4_K_M`	`b9803`	4.58 GB	📥 Download
`Anubis-Mini-8B-v1-heretic-Q5_K_M.gguf`	`Q5_K_M`	`b9870`	5.34 GB	📥 Download
`Anubis-Mini-8B-v1-heretic-Q8_0.gguf`	`Q8_0`	`b9870`	7.95 GB	📥 Download

🎛️ Component Pairing Guide

Download exactly one main weights file:

Q4_K_M: Balanced 4-bit format suitable for most everyday use.
Q5_K_M: Higher-fidelity mid-range format recommended as a general default.
Q8_0: Near-lossless 8-bit format for when memory is not a constraint.

⚡ Deployment & Execution Commands

Swap the -m filename below for either quantized file depending on your size/quality trade-off preference.

llama.cpp CLI

./llama-cli \
  -m Anubis-Mini-8B-v1-heretic-Q4_K_M.gguf \
  -c 8192 \
  -ngl 99 \
  -p "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\nYou are a skilled storyteller and collaborative roleplay partner.<|eot_id|>\n<|start_header_id|>user<|end_header_id|>\nLet's begin a fantasy adventure. You play the mysterious innkeeper.<|eot_id|>\n<|start_header_id|>assistant<|end_header_id|>\n"

OpenAI-Compatible API Server

./llama-server \
  --host 0.0.0.0 \
  --port 8080 \
  -m Anubis-Mini-8B-v1-heretic-Q4_K_M.gguf \
  -c 16384 \
  -ngl 99 \
  --flash-attn

💬 Chat Templates & Prompt Design (Llama 3)

<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are a vivid and immersive creative writing partner.<|eot_id|>
<|start_header_id|>user<|end_header_id|>
Your prompt here.<|eot_id|>
<|start_header_id|>assistant<|end_header_id|>

⚠️ Safety & Operational Notes

This model is abliterated and will generate content that standard aligned models refuse. Use responsibly and in compliance with applicable laws.
Optimised for creative and roleplay tasks; not specifically tuned for factual Q&A, coding, or tool use.
For better output quality at this quantization level, consider the imatrix variant in the companion repository.