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Model: MuXodious/gpt-4o-distil-Llama-3.1-8B-Instruct-PaperWitch-heresy
Source: Original Platform
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ModelHub XC
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}}
}
```

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{{- bos_token }}
{%- if custom_tools is defined %}
{%- set tools = custom_tools %}
{%- endif %}
{%- if not tools_in_user_message is defined %}
{%- set tools_in_user_message = true %}
{%- endif %}
{%- if not date_string is defined %}
{%- set date_string = "26 Jul 2024" %}
{%- endif %}
{%- if not tools is defined %}
{%- set tools = none %}
{%- endif %}
{#- This block extracts the system message, so we can slot it into the right place. #}
{%- if messages[0]['role'] == 'system' %}
{%- set system_message = messages[0]['content']|trim %}
{%- set messages = messages[1:] %}
{%- else %}
{%- set system_message = "" %}
{%- endif %}
{#- System message + builtin tools #}
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
{%- if builtin_tools is defined or tools is not none %}
{{- "Environment: ipython\n" }}
{%- endif %}
{%- if builtin_tools is defined %}
{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
{%- endif %}
{{- "Cutting Knowledge Date: December 2023\n" }}
{{- "Today Date: " + date_string + "\n\n" }}
{%- if tools is not none and not tools_in_user_message %}
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
{{- "Do not use variables.\n\n" }}
{%- for t in tools %}
{{- t | tojson(indent=4) }}
{{- "\n\n" }}
{%- endfor %}
{%- endif %}
{{- system_message }}
{{- "<|eot_id|>" }}
{#- Custom tools are passed in a user message with some extra guidance #}
{%- if tools_in_user_message and not tools is none %}
{#- Extract the first user message so we can plug it in here #}
{%- if messages | length != 0 %}
{%- set first_user_message = messages[0]['content']|trim %}
{%- set messages = messages[1:] %}
{%- else %}
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
{%- endif %}
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
{{- "Given the following functions, please respond with a JSON for a function call " }}
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
{{- "Do not use variables.\n\n" }}
{%- for t in tools %}
{{- t | tojson(indent=4) }}
{{- "\n\n" }}
{%- endfor %}
{{- first_user_message + "<|eot_id|>"}}
{%- endif %}
{%- for message in messages %}
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
{%- elif 'tool_calls' in message %}
{%- if not message.tool_calls|length == 1 %}
{{- raise_exception("This model only supports single tool-calls at once!") }}
{%- endif %}
{%- set tool_call = message.tool_calls[0].function %}
{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
{{- "<|python_tag|>" + tool_call.name + ".call(" }}
{%- for arg_name, arg_val in tool_call.arguments | items %}
{{- arg_name + '="' + arg_val + '"' }}
{%- if not loop.last %}
{{- ", " }}
{%- endif %}
{%- endfor %}
{{- ")" }}
{%- else %}
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
{{- '{"name": "' + tool_call.name + '", ' }}
{{- '"parameters": ' }}
{{- tool_call.arguments | tojson }}
{{- "}" }}
{%- endif %}
{%- if builtin_tools is defined %}
{#- This means we're in ipython mode #}
{{- "<|eom_id|>" }}
{%- else %}
{{- "<|eot_id|>" }}
{%- endif %}
{%- elif message.role == "tool" or message.role == "ipython" %}
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
{%- if message.content is mapping or message.content is iterable %}
{{- message.content | tojson }}
{%- else %}
{{- message.content }}
{%- endif %}
{{- "<|eot_id|>" }}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
{%- endif %}

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