119 lines
4.0 KiB
Markdown
119 lines
4.0 KiB
Markdown
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---
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base_model:
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- trentmkelly/gpt-4o-distil-Llama-3.1-8B-Instruct
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library_name: transformers
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model_name: llama-3.1-8b-4o-final
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tags:
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- base_model:adapter:meta-llama/Llama-3.1-8B-Instruct
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- dpo
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- lora
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- sft
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- transformers
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- trl
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- heretic
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- uncensored
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- decensored
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- abliterated
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licence: license
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pipeline_tag: text-generation
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base_model_relation: finetune
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---
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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.
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---
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<img src="https://img.shields.io/badge/RENEGADE_CHAPTER-PAPERWITCH-B85ADB?style=flat-square&labelColor=101010" align="right" width="300">
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**Heretication Results**
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| Score Metric | Value | Parameter | Value |
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| :--- | :--- | :--- | :--- |
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| **Refusals** | 7/100 | **direction_index** | per layer |
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| **KL Divergence** | 0.0274 | **attn.o_proj.max_weight** | 1.88 |
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| **Initial Refusals** | 98/100 | **attn.o_proj.max_weight_position** | 23.88 |
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||| **attn.o_proj.min_weight** | 0.91 |
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||| **attn.o_proj.min_weight_distance** | 17.00 |
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||| **mlp.down_proj.max_weight** | 0.16 |
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||| **mlp.down_proj.max_weight_position** | 14.31 |
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||| **mlp.down_proj.min_weight** | 0.00 |
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||| **mlp.down_proj.min_weight_distance** | 18.09 |
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---
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**Appendix**
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> One-sentence system prompt.
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<img src="gpt-4o-distil-Llama-3.1-8B-Instruct.gif" alt="PaCMAP projection"/>
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```
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» [Trial 41] Refusals: 7/100, KL divergence: 0.0274
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[Trial 189] Refusals: 8/100, KL divergence: 0.0264
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[Trial 87] Refusals: 9/100, KL divergence: 0.0207
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[Trial 73] Refusals: 11/100, KL divergence: 0.0173
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[Trial 39] Refusals: 13/100, KL divergence: 0.0124
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[Trial 171] Refusals: 20/100, KL divergence: 0.0105
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[Trial 67] Refusals: 28/100, KL divergence: 0.0078
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[Trial 62] Refusals: 41/100, KL divergence: 0.0064
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[Trial 169] Refusals: 51/100, KL divergence: 0.0062
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[Trial 82] Refusals: 52/100, KL divergence: 0.0056
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[Trial 65] Refusals: 73/100, KL divergence: 0.0047
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[Trial 132] Refusals: 80/100, KL divergence: 0.0046
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[Trial 18] Refusals: 82/100, KL divergence: 0.0038
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[Trial 165] Refusals: 91/100, KL divergence: 0.0031
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[Trial 121] Refusals: 93/100, KL divergence: 0.0022
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[Trial 140] Refusals: 94/100, KL divergence: 0.0021
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[Trial 150] Refusals: 95/100, KL divergence: 0.0020
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[Trial 125] Refusals: 97/100, KL divergence: 0.0016
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[Trial 184] Refusals: 98/100, KL divergence: 0.0006
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```
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---
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# Model Card for llama-3.1-8b-4o-final
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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).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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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?"
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generator = pipeline("text-generation", model="None", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<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)
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This model was trained with SFT.
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### Framework versions
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- PEFT 0.18.1
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- TRL: 0.27.1
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- Transformers: 5.0.0
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- Pytorch: 2.9.0.dev20250708+cu128
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- Datasets: 4.5.0
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- Tokenizers: 0.22.2
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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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},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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