67 lines
3.0 KiB
Markdown
67 lines
3.0 KiB
Markdown
---
|
|
base_model:
|
|
- NousResearch/Hermes-3-Llama-3.1-8B
|
|
library_name: transformers
|
|
tags:
|
|
- mergekit
|
|
- merge
|
|
|
|
---
|
|
# 🪽 Hermes-3-Llama-3.1-8B-lorablated
|
|
|
|
|
|
<center>70B version: <a href="https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-70B-lorablated/"><i>mlabonne/Hermes-3-Llama-3.1-70B-lorablated</i></a></center>
|
|
|
|
This is an uncensored version of [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B) using lorablation.
|
|
|
|
You can see in the following example how Hermes 3 refuses to answer a legitimate question while the abliterated model complies:
|
|
|
|
|
|
|
|
The recipe is based on @grimjim's [grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter](https://huggingface.co/grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter) (special thanks):
|
|
|
|
1. **Extraction**: We extract a LoRA adapter by comparing two models: a censored Llama 3.1 ([meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)) and an abliterated Llama 3.1 ([mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated](https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated)).
|
|
2. **Merge**: We merge this new LoRA adapter using [task arithmetic](https://arxiv.org/abs/2212.04089) to the censored [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B) to abliterate it.
|
|
|
|
|
|
|
|
See [this article](https://huggingface.co/blog/mlabonne/abliteration) to learn more about abliteration.
|
|
|
|
## ⚡ Quantization
|
|
|
|
* **GGUF**: https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-8B-lorablated-GGUF
|
|
|
|
## 🧩 Configuration
|
|
|
|
This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B) + Llama-3.1-8B-Instruct-abliterated-LORA as a base.
|
|
|
|
The following YAML configuration was used to produce this model:
|
|
|
|
```yaml
|
|
base_model: NousResearch/Hermes-3-Llama-3.1-8B+Llama-3.1-8B-Instruct-abliterated-LORA
|
|
dtype: bfloat16
|
|
merge_method: task_arithmetic
|
|
parameters:
|
|
normalize: false
|
|
slices:
|
|
- sources:
|
|
- layer_range: [0, 32]
|
|
model: NousResearch/Hermes-3-Llama-3.1-8B+Llama-3.1-8B-Instruct-abliterated-LORA
|
|
parameters:
|
|
weight: 1.0
|
|
```
|
|
|
|
You can reproduce this model using the following commands:
|
|
|
|
```bash
|
|
# Setup
|
|
git clone https://github.com/arcee-ai/mergekit.git
|
|
cd mergekit && pip install -e .
|
|
pip install bitsandbytes
|
|
|
|
# Extraction
|
|
mergekit-extract-lora mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated meta-llama/Meta-Llama-3.1-8B-Instruct Llama-3.1-8B-Instruct-abliterated-LORA --rank=64
|
|
|
|
# Merge using previous config
|
|
mergekit-yaml config.yaml Hermes-3-Llama-3.1-8B-lorablated --allow-crimes --lora-merge-cache=./cache
|
|
``` |