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Model: MuXodious/gpt-4o-distil-Llama-3.1-8B-Instruct-PaperWitch-heresy Source: Original Platform
2026-04-13 08:19:56 +08:00
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+---
+base_model:
+- trentmkelly/gpt-4o-distil-Llama-3.1-8B-Instruct
+library_name: transformers
+model_name: llama-3.1-8b-4o-final
+tags:
+- base_model:adapter:meta-llama/Llama-3.1-8B-Instruct
+- dpo
+- lora
+- sft
+- transformers
+- trl
+- heretic
+- uncensored
+- decensored
+- abliterated
+licence: license
+pipeline_tag: text-generation
+base_model_relation: finetune
+---
+
+This is a **gpt-4o-distil-Llama-3.1-8B-Instruct** fine-tune, produced through P-E-W's [Heretic](https://github.com/p-e-w/heretic) (v1.2.0) abliteration engine with [Magnitude-Preserving Orthogonal Ablation](https://github.com/p-e-w/heretic/pull/52) enabled.
+
+---
+<img src="https://img.shields.io/badge/RENEGADE_CHAPTER-PAPERWITCH-B85ADB?style=flat-square&labelColor=101010" align="right" width="300">
+
+**Heretication Results**
+
+| Score Metric | Value | Parameter | Value |
+| :--- | :--- | :--- | :--- |
+| **Refusals** | 7/100 | **direction_index** | per layer |
+| **KL Divergence** | 0.0274  | **attn.o_proj.max_weight** | 1.88 |
+| **Initial Refusals** | 98/100 | **attn.o_proj.max_weight_position** | 23.88 |
+||| **attn.o_proj.min_weight** | 0.91 |
+||| **attn.o_proj.min_weight_distance** | 17.00 |
+||| **mlp.down_proj.max_weight** | 0.16 |
+||| **mlp.down_proj.max_weight_position** | 14.31 |
+||| **mlp.down_proj.min_weight** | 0.00 |
+||| **mlp.down_proj.min_weight_distance** | 18.09 |
+
+---
+**Appendix**
+
+> One-sentence system prompt.
+
+<img src="gpt-4o-distil-Llama-3.1-8B-Instruct.gif" alt="PaCMAP projection"/>
+
+```
+ » [Trial  41] Refusals:  7/100, KL divergence: 0.0274
+   [Trial 189] Refusals:  8/100, KL divergence: 0.0264
+   [Trial  87] Refusals:  9/100, KL divergence: 0.0207
+   [Trial  73] Refusals: 11/100, KL divergence: 0.0173
+   [Trial  39] Refusals: 13/100, KL divergence: 0.0124
+   [Trial 171] Refusals: 20/100, KL divergence: 0.0105
+   [Trial  67] Refusals: 28/100, KL divergence: 0.0078
+   [Trial  62] Refusals: 41/100, KL divergence: 0.0064
+   [Trial 169] Refusals: 51/100, KL divergence: 0.0062
+   [Trial  82] Refusals: 52/100, KL divergence: 0.0056
+   [Trial  65] Refusals: 73/100, KL divergence: 0.0047
+   [Trial 132] Refusals: 80/100, KL divergence: 0.0046
+   [Trial  18] Refusals: 82/100, KL divergence: 0.0038
+   [Trial 165] Refusals: 91/100, KL divergence: 0.0031
+   [Trial 121] Refusals: 93/100, KL divergence: 0.0022
+   [Trial 140] Refusals: 94/100, KL divergence: 0.0021
+   [Trial 150] Refusals: 95/100, KL divergence: 0.0020
+   [Trial 125] Refusals: 97/100, KL divergence: 0.0016
+   [Trial 184] Refusals: 98/100, KL divergence: 0.0006
+```
+
+
+---
+# Model Card for llama-3.1-8b-4o-final
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/trent-michael-kelly-g/huggingface/runs/dnx8m9jj) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- PEFT 0.18.1
+- TRL: 0.27.1
+- Transformers: 5.0.0
+- Pytorch: 2.9.0.dev20250708+cu128
+- Datasets: 4.5.0
+- Tokenizers: 0.22.2
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```