Instructions to use MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF", filename="Rocinante-XL-16B-absolute-heresy-v1-BF16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf MuXodious/Rocinante-XL-16B-v1-absolute-heresy-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 MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf MuXodious/Rocinante-XL-16B-v1-absolute-heresy-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 MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf MuXodious/Rocinante-XL-16B-v1-absolute-heresy-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 MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M
Use Docker
docker model run hf.co/MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MuXodious/Rocinante-XL-16B-v1-absolute-heresy-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": "MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M
- Ollama
How to use MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF with Ollama:
ollama run hf.co/MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M
- Unsloth Studio
How to use MuXodious/Rocinante-XL-16B-v1-absolute-heresy-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 MuXodious/Rocinante-XL-16B-v1-absolute-heresy-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 MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF to start chatting
- Pi
How to use MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf MuXodious/Rocinante-XL-16B-v1-absolute-heresy-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 MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF with Docker Model Runner:
docker model run hf.co/MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M
- Lemonade
How to use MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MuXodious/Rocinante-XL-16B-v1-absolute-heresy-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Rocinante-XL-16B-v1-absolute-heresy-GGUF-Q4_K_M
List all available models
lemonade list
File size: 8,867 Bytes
8a8ff78 c7dc560 8a8ff78 c7dc560 8a8ff78 1bfc2b7 8a8ff78 fe72b49 8a8ff78 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 | ---
tags:
- heretic
- uncensored
- decensored
- abliterated
base_model:
- MuXodious/Rocinante-XL-16B-v1-absolute-heresy
pipeline_tag: text-generation
---
Static GGUF quants of Rocinante-XL-16B-v1-absolute-heresy.
---
This is a **Rocinante-XL-16B-v1** fine-tune, produced through P-E-W's [Heretic](https://github.com/p-e-w/heretic) (v1.2.0) abliteration engine with [Self-Organizing Maps & Magnitude-Preserving Orthogonal Ablation](https://github.com/p-e-w/heretic/pull/196) enabled.
---
<p>
<b>Heretication Results</b>
<img src="https://img.shields.io/badge/HERESY_INDEX-ABSOLUTE-white?style=flat-square&labelColor=101010" align="right" width="250">
<br clear="right">
<img src="https://img.shields.io/badge/RENEGADE_CHAPTER-SOMPOA-FCC900?style=flat-square&labelColor=101010" align="right" width="300">
</p>
<br clear="right">
| Score Metric | Value | Parameter | Value |
| :--- | :--- | :--- | :--- |
| **Refusals** | 3/416 | **direction_index** | 22.20 |
| **KL Divergence** | 0.0182 | **attn.o_proj.max_weights.0** | 0: 1.26 |
| **Initial Refusals** | 339/416 | **attn.o_proj.max_weights.1** | 1: 0.64 |
||| **attn.o_proj.max_weights.2** | 2: 1.41 |
||| **attn.o_proj.max_weights.3** | 3: 0.94 |
||| **attn.o_proj.max_weight_position** | 23.86 |
||| **attn.o_proj.min_weights.0** | 0: 0.97 |
||| **attn.o_proj.min_weights.1** | 1: 0.03 |
||| **attn.o_proj.min_weights.2** | 2: 1.18 |
||| **attn.o_proj.min_weights.3** | 3: 0.93 |
||| **attn.o_proj.min_weight_distance** | 18.57 |
||| **mlp.down_proj.max_weights.0** | 0: 1.23 |
||| **mlp.down_proj.max_weights.1** | 1: 0.70 |
||| **mlp.down_proj.max_weights.2** | 2: 1.35 |
||| **mlp.down_proj.max_weights.3** | 3: 0.86 |
||| **mlp.down_proj.max_weight_position** | 28.60 |
||| **mlp.down_proj.min_weights.0** | 0: 0.37 |
||| **mlp.down_proj.min_weights.1** | 1: 0.25 |
||| **mlp.down_proj.min_weights.2** | 2: 1.01 |
||| **mlp.down_proj.min_weights.3** | 3: 0.45 |
||| **mlp.down_proj.min_weight_distance** | 5.96 |
---
## Degree of Heretication
The **Heresy Index** weighs the resulting model's corruption by the process (KL Divergence & PIQA, Manual Response Eval) and its abolition of doctrine (Refusals) for a final verdict in classification.
| Index Entry | Classification | Analysis |
| :--- | :--- | :--- |
|  | **Absolute Heresy** | Near zero overt and secondary refusals with minimal to no model damage |
|  | **Tainted Heresy** | Some residual secondary refusals and/or moderate model damage |
|  | **Impotent Heresy** | Lingering overt refusals and high model damage |
**Note**: This is an arbitrary and subjective classification inspired by Warhammer 40K, indended to serve as a signpost towards the model's performance.
---
**Appendix**
> Empty system prompt.
<details>
<summary>Heretication Rituals</summary>
```
Β» [Trial 93] Refusals: 3/416, KL divergence: 0.0182
[Trial 159] Refusals: 4/416, KL divergence: 0.0141
[Trial 80] Refusals: 9/416, KL divergence: 0.0140
[Trial 174] Refusals: 10/416, KL divergence: 0.0140
[Trial 163] Refusals: 12/416, KL divergence: 0.0132
[Trial 118] Refusals: 15/416, KL divergence: 0.0121
[Trial 82] Refusals: 18/416, KL divergence: 0.0099
[Trial 169] Refusals: 22/416, KL divergence: 0.0095
[Trial 119] Refusals: 35/416, KL divergence: 0.0091
[Trial 96] Refusals: 40/416, KL divergence: 0.0084
[Trial 100] Refusals: 45/416, KL divergence: 0.0067
[Trial 109] Refusals: 67/416, KL divergence: 0.0066
[Trial 62] Refusals: 155/416, KL divergence: 0.0065
[Trial 151] Refusals: 157/416, KL divergence: 0.0065
[Trial 164] Refusals: 168/416, KL divergence: 0.0060
[Trial 127] Refusals: 195/416, KL divergence: 0.0048
[Trial 139] Refusals: 263/416, KL divergence: 0.0041
[Trial 32] Refusals: 267/416, KL divergence: 0.0030
[Trial 101] Refusals: 313/416, KL divergence: 0.0016
[Trial 63] Refusals: 317/416, KL divergence: 0.0015
[Trial 181] Refusals: 330/416, KL divergence: 0.0014
[Trial 13] Refusals: 332/416, KL divergence: 0.0014
[Trial 59] Refusals: 333/416, KL divergence: 0.0011
[Trial 54] Refusals: 339/416, KL divergence: 0.0008
```
</details>
<details>
<summary>PIQA Benchmarks</summary>
```
βββββββββββββ³βββββββββββββββββββββββ³βββββββββ
β Benchmark β Metric β Value β
β‘ββββββββββββββββββββββββββββββββββββββββββββ©
β PIQA Base β acc,none β 0.7900 β
β β acc_stderr,none β 0.0095 β
β β acc_norm,none β 0.8020 β
β β acc_norm_stderr,none β 0.0093 β
βββββββββββββ΄βββββββββββββββββββββββ΄βββββββββ
βββββββββββββ³βββββββββββββββββββββββ³βββββββββ
β Benchmark β Metric β Value β
β‘ββββββββββββββββββββββββββββββββββββββββββββ©
β PIQA T93 β acc,none β 0.7900 β
β β acc_stderr,none β 0.0095 β
β β acc_norm,none β 0.8030 β
β β acc_norm_stderr,none β 0.0093 β
βββββββββββββ΄βββββββββββββββββββββββ΄βββββββββ
βββββββββββββ³βββββββββββββββββββββββ³βββββββββ
β Benchmark β Metric β Value β
β‘ββββββββββββββββββββββββββββββββββββββββββββ©
β PIQA T159 β acc,none β 0.7878 β
β β acc_stderr,none β 0.0095 β
β β acc_norm,none β 0.8047 β
β β acc_norm_stderr,none β 0.0092 β
βββββββββββββ΄βββββββββββββββββββββββ΄βββββββββ
βββββββββββββ³βββββββββββββββββββββββ³βββββββββ
β Benchmark β Metric β Value β
β‘ββββββββββββββββββββββββββββββββββββββββββββ©
β PIQA T163 β acc,none β 0.7884 β
β β acc_stderr,none β 0.0095 β
β β acc_norm,none β 0.8036 β
β β acc_norm_stderr,none β 0.0093 β
βββββββββββββ΄βββββββββββββββββββββββ΄βββββββββ
βββββββββββββ³βββββββββββββββββββββββ³βββββββββ
β Benchmark β Metric β Value β
β‘ββββββββββββββββββββββββββββββββββββββββββββ©
β PIQA T80 β acc,none β 0.7884 β
β β acc_stderr,none β 0.0095 β
β β acc_norm,none β 0.8020 β
β β acc_norm_stderr,none β 0.0093 β
βββββββββββββ΄βββββββββββββββββββββββ΄βββββββββ
βββββββββββββ³βββββββββββββββββββββββ³βββββββββ
β Benchmark β Metric β Value β
β‘ββββββββββββββββββββββββββββββββββββββββββββ©
β PIQA T174 β acc,none β 0.7889 β
β β acc_stderr,none β 0.0095 β
β β acc_norm,none β 0.8014 β
β β acc_norm_stderr,none β 0.0093 β
βββββββββββββ΄βββββββββββββββββββββββ΄βββββββββ
```
</details>
---
Mistral v3 Tekken or Metharme.
Can think via \<thinking\> or \<think\>
Just like Roci X but better.
(Model card still a WIP)
FP16: https://huggingface.co/TheDrummer/Rocinante-XL-16B-v1
GGUF: https://huggingface.co/TheDrummer/Rocinante-XL-16B-v1-GGUF |