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

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

[!NOTE] 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 Types	IQ4_NL, Q4_K_M, Q5_K_M (all with imatrix calibration)
Importance Matrix	Bartowski's `calibration_datav5.txt`

📦 Available Model Files

Main model weights

Filename	Quantization	llama.cpp Build	Size	Download
`Anubis-Mini-8B-v1-heretic-IQ4_NL-imatrix.gguf`	`IQ4_NL`	`b9837`	4.36 GB	📥 Download
`Anubis-Mini-8B-v1-heretic-Q4_K_M-imatrix.gguf`	`Q4_K_M`	`b9803`	4.58 GB	📥 Download
`Anubis-Mini-8B-v1-heretic-Q5_K_M-imatrix.gguf`	`Q5_K_M`	`b9870`	5.34 GB	📥 Download

🎛️ 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

bash

./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"

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