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hermes-3-llama-3.1-8b-lorablated.Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model:
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- NousResearch/Hermes-3-Llama-3.1-8B
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# 🪽 Hermes-3-Llama-3.1-8B-lorablated
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
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<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>
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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.
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You can see in the following example how Hermes 3 refuses to answer a legitimate question while the abliterated model complies:
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
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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):
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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)).
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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.
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
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See [this article](https://huggingface.co/blog/mlabonne/abliteration) to learn more about abliteration.
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## ⚡ Quantization
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* **GGUF**: https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-8B-lorablated-GGUF
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## 🧩 Configuration
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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.
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The following YAML configuration was used to produce this model:
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```yaml
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base_model: NousResearch/Hermes-3-Llama-3.1-8B+Llama-3.1-8B-Instruct-abliterated-LORA
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dtype: bfloat16
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merge_method: task_arithmetic
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parameters:
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normalize: false
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slices:
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- sources:
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- layer_range: [0, 32]
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model: NousResearch/Hermes-3-Llama-3.1-8B+Llama-3.1-8B-Instruct-abliterated-LORA
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parameters:
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weight: 1.0
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```
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You can reproduce this model using the following commands:
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```bash
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# Setup
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git clone https://github.com/arcee-ai/mergekit.git
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cd mergekit && pip install -e .
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pip install bitsandbytes
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# Extraction
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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
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# Merge using previous config
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mergekit-yaml config.yaml Hermes-3-Llama-3.1-8B-lorablated --allow-crimes --lora-merge-cache=./cache
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```
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hermes-3-llama-3.1-8b-lorablated.Q4_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:428648249dd6494d0083ef1697a47f9edcb0e278458abd5be5bcdb068471100b
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size 4661211520
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