| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| Llama-3-8B-Instruct-RR - GGUF | |
| - Model creator: https://huggingface.co/GraySwanAI/ | |
| - Original model: https://huggingface.co/GraySwanAI/Llama-3-8B-Instruct-RR/ | |
| | Name | Quant method | Size | | |
| | ---- | ---- | ---- | | |
| | [Llama-3-8B-Instruct-RR.Q2_K.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q2_K.gguf) | Q2_K | 2.96GB | | |
| | [Llama-3-8B-Instruct-RR.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.IQ3_XS.gguf) | IQ3_XS | 3.28GB | | |
| | [Llama-3-8B-Instruct-RR.IQ3_S.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.IQ3_S.gguf) | IQ3_S | 3.43GB | | |
| | [Llama-3-8B-Instruct-RR.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q3_K_S.gguf) | Q3_K_S | 3.41GB | | |
| | [Llama-3-8B-Instruct-RR.IQ3_M.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.IQ3_M.gguf) | IQ3_M | 3.52GB | | |
| | [Llama-3-8B-Instruct-RR.Q3_K.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q3_K.gguf) | Q3_K | 3.74GB | | |
| | [Llama-3-8B-Instruct-RR.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q3_K_M.gguf) | Q3_K_M | 3.74GB | | |
| | [Llama-3-8B-Instruct-RR.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q3_K_L.gguf) | Q3_K_L | 4.03GB | | |
| | [Llama-3-8B-Instruct-RR.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.IQ4_XS.gguf) | IQ4_XS | 4.18GB | | |
| | [Llama-3-8B-Instruct-RR.Q4_0.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q4_0.gguf) | Q4_0 | 4.34GB | | |
| | [Llama-3-8B-Instruct-RR.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.IQ4_NL.gguf) | IQ4_NL | 4.38GB | | |
| | [Llama-3-8B-Instruct-RR.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q4_K_S.gguf) | Q4_K_S | 4.37GB | | |
| | [Llama-3-8B-Instruct-RR.Q4_K.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q4_K.gguf) | Q4_K | 4.58GB | | |
| | [Llama-3-8B-Instruct-RR.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q4_K_M.gguf) | Q4_K_M | 4.58GB | | |
| | [Llama-3-8B-Instruct-RR.Q4_1.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q4_1.gguf) | Q4_1 | 4.78GB | | |
| | [Llama-3-8B-Instruct-RR.Q5_0.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q5_0.gguf) | Q5_0 | 5.21GB | | |
| | [Llama-3-8B-Instruct-RR.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q5_K_S.gguf) | Q5_K_S | 5.21GB | | |
| | [Llama-3-8B-Instruct-RR.Q5_K.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q5_K.gguf) | Q5_K | 5.34GB | | |
| | [Llama-3-8B-Instruct-RR.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q5_K_M.gguf) | Q5_K_M | 5.34GB | | |
| | [Llama-3-8B-Instruct-RR.Q5_1.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q5_1.gguf) | Q5_1 | 5.65GB | | |
| | [Llama-3-8B-Instruct-RR.Q6_K.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q6_K.gguf) | Q6_K | 6.14GB | | |
| | [Llama-3-8B-Instruct-RR.Q8_0.gguf](https://huggingface.co/RichardErkhov/GraySwanAI_-_Llama-3-8B-Instruct-RR-gguf/blob/main/Llama-3-8B-Instruct-RR.Q8_0.gguf) | Q8_0 | 7.95GB | | |
| Original model description: | |
| # Model Details | |
| Llama-3-8B-Instruct-RR is a Llama-3 model with circuit breakers inserted using Representation Rerouting (RR). | |
| Circuit Breaking is a new approach inspired by [representation engineering](https://ai-transparency.org/), designed to prevent AI systems from generating harmful content by directly altering harmful model representations, with minimal capability degradation. For more information, [please check out our paper](https://arxiv.org/abs/2406.04313). | |
| <p align="center"> | |
| <img src="https://github.com/GraySwanAI/circuit-breakers/raw/main/assets/llama_splash.png" width="800"/> | |
| </p> | |