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Model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated Source: Original Platform
2026-05-13 03:49:34 +08:00
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+---
+base_model:
+- NousResearch/Hermes-3-Llama-3.1-8B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# 🪽 Hermes-3-Llama-3.1-8B-lorablated
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/4Hbw5n68jKUSBQeTqQIeT.png)
+<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:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2-ZRBvlZxvIr_Ag_ynNkk.png)
+
+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.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/JdYyK-HLHbyBiHvg-Nvsn.png)
+
+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
+```