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FadedRedStar/Anubis-Mini-8B-v1-heretic-GGUF
Anubis-Mini-8B-v1-heretic-GGUF is a text generation model from FadedRedStar. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as llama3.3.
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.
Downloads · 30 days
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.gguf19.2 GB · 100%
From the Hugging Face model README
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.
[!NOTE] 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_0build.
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.
| 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 |
| 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 |
[!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 |
| Property | Value |
|---|---|
| Quantization Type | Q4_K_M, Q5_K_M, Q8_0 |
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 |
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.[!TIP] Swap the
-mfilename below for either quantized file depending on your size/quality trade-off preference.
./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"
./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
<|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|>