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README.md

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+
+---
+
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-3B-Instruct
+tags:
+- abliterated
+- uncensored
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+
+
+# QuantFactory/Llama-3.2-3B-Instruct-abliterated-GGUF
+This is quantized version of [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) created using llama.cpp
+
+# Original Model Card
+
+
+# 🦙 Llama-3.2-3B-Instruct-abliterated
+
+
+
+This is an uncensored version of Llama 3.2 3B Instruct created with abliteration (see [this article](https://huggingface.co/blog/mlabonne/abliteration) to know more about it).
+
+Special thanks to [@FailSpy](https://huggingface.co/failspy) for the original code and technique. Please follow him if you're interested in abliterated models.
+
+## Evaluations
+The following data has been re-evaluated and calculated as the average for each test.
+
+| Benchmark   | Llama-3.2-3B-Instruct | Llama-3.2-3B-Instruct-abliterated |
+|-------------|-----------------------|-----------------------------------|
+| IF_Eval     | 76.55                 | **76.76**                         |
+| MMLU Pro    | 27.88                 | **28.00**                         |
+| TruthfulQA  | 50.55                 | **50.73**                         |
+| BBH         | 41.81                 | **41.86**                         |
+| GPQA        | 28.39                 | **28.41**                         |
+
+The script used for evaluation can be found inside this repository under /eval.sh, or click [here](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated/blob/main/eval.sh)
+