Upload README.md
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README.md
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| [llama-2-70b.Q5_0.gguf](https://huggingface.co/TheBloke/Llama-2-70B-GGUF/blob/main/llama-2-70b.Q5_0.gguf) | Q5_0 | 5 | 47.46 GB| 49.96 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
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| [llama-2-70b.Q5_K_S.gguf](https://huggingface.co/TheBloke/Llama-2-70B-GGUF/blob/main/llama-2-70b.Q5_K_S.gguf) | Q5_K_S | 5 | 47.46 GB| 49.96 GB | large, low quality loss - recommended |
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| [llama-2-70b.Q5_K_M.gguf](https://huggingface.co/TheBloke/Llama-2-70B-GGUF/blob/main/llama-2-70b.Q5_K_M.gguf) | Q5_K_M | 5 | 48.75 GB| 51.25 GB | large, very low quality loss - recommended |
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**Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
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| [llama-2-70b.Q5_0.gguf](https://huggingface.co/TheBloke/Llama-2-70B-GGUF/blob/main/llama-2-70b.Q5_0.gguf) | Q5_0 | 5 | 47.46 GB| 49.96 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
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| [llama-2-70b.Q5_K_S.gguf](https://huggingface.co/TheBloke/Llama-2-70B-GGUF/blob/main/llama-2-70b.Q5_K_S.gguf) | Q5_K_S | 5 | 47.46 GB| 49.96 GB | large, low quality loss - recommended |
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| [llama-2-70b.Q5_K_M.gguf](https://huggingface.co/TheBloke/Llama-2-70B-GGUF/blob/main/llama-2-70b.Q5_K_M.gguf) | Q5_K_M | 5 | 48.75 GB| 51.25 GB | large, very low quality loss - recommended |
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| llama-2-70b.Q6_K.gguf | Q6_K | 6 | 56.59 GB| 59.09 GB | very large, extremely low quality loss |
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| llama-2-70b.Q8_0.gguf | Q8_0 | 8 | 73.29 GB| 75.79 GB | very large, extremely low quality loss - not recommended |
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**Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
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