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README.md

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+---
+library_name: transformers
+license: llama3
+---
+
+# Model Card for Llama-3-8B-Instruct-abliterated-v2
+
+## Overview
+This model card describes the Llama-3-8B-Instruct-abliterated-v2 model, which is an orthogonalized version of the meta-llama/Llama-3-8B-Instruct model, and an improvement upon the previous generation Llama-3-8B-Instruct-abliterated. This variant has had certain weights manipulated to inhibit the model's ability to express refusal.
+
+[Join the Cognitive Computations Discord!](https://discord.gg/cognitivecomputations)
+
+## Details
+
+* The model was trained with more data to better pinpoint the "refusal direction".
+* This model is MUCH better at directly and succinctly answering requests without producing even so much as disclaimers.
+
+## Methodology
+
+The methodology used to generate this model is described in the preview paper/blog post: '[Refusal in LLMs is mediated by a single direction](https://www.alignmentforum.org/posts/jGuXSZgv6qfdhMCuJ/refusal-in-llms-is-mediated-by-a-single-direction)'
+
+## Quirks and Side Effects
+This model may come with interesting quirks, as the methodology is still new and untested. The code used to generate the model is available in the Python notebook [ortho_cookbook.ipynb](https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated/blob/main/ortho_cookbook.ipynb).
+Please note that the model may still refuse to answer certain requests, even after the weights have been manipulated to inhibit refusal.
+
+## Availability
+
+## How to Use
+This model is available for use in the Transformers library.  
+GGUF Quants are available [here](https://huggingface.co/failspy/Llama-3-8B-Instruct-abliterated-v2-GGUF).