Anubis-Mini-8B-v1-heretic-imatrix-GGUF

🤖 Anubis-Mini-8B-v1-heretic — Importance Matrix GGUF

This repository hosts importance-matrix (imatrix) optimized GGUF weights, available in multiple quantization formats, 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 Standard GGUF Sister Repository for uncalibrated and full 8-bit precision options.

🎯 Matrix-Weighted Calibration (Imatrix)

An Importance Matrix (imatrix) calculation tracks activations across network layers using a calibration sequence, then weights the quantization process to preserve the parameters that matter most for output quality — improving fidelity at low bit depths.

➡️ Calibration dataset: Bartowski's calibration_datav5.txt.

[!NOTE]

• IQ4_NL is included because the matrix enables a non-linear 4-bit format that outperforms standard linear 4-bit quantization.
• Q8_0 is absent because 8-bit quantization already introduces near-zero degradation, making calibration unnecessary — see the standard sister repository for that variant.

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

🛠️ Heretic Overrides (ARA)

📊 Refusal Bypass Metrics

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

🧮 Numerical & Tensor Formats

📦 Available Model Files

Main model weights

🎛️ Component Pairing Guide

Download exactly one main weights file:

• IQ4_NL: Non-linear 4-bit format, best choice for constrained memory when imatrix calibration is present.
• 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.

⚡ Deployment & Execution Commands

[!TIP] 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-IQ4_NL-imatrix.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-IQ4_NL-imatrix.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.
• Imatrix calibration improves perplexity recovery compared to non-imatrix quantization, particularly on low-frequency tokens critical to narrative writing.
• IQ4_NL produces a smaller file than Q4_K_M and tends to run faster on CPU and ARM devices; imatrix calibration narrows the quality gap between the two formats considerably.