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README.md
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@@ -122,8 +122,46 @@ Refer to the Provided Files table below to see what files use which methods, and
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| [llama2-70b-oasst-sft-v10.Q4_K_M.gguf](https://huggingface.co/TheBloke/Llama2-70B-OASST-SFT-v10-GGUF/blob/main/llama2-70b-oasst-sft-v10.Q4_K_M.gguf) | Q4_K_M | 4 | 41.69 GB| 44.19 GB | medium, balanced quality - recommended |
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| [llama2-70b-oasst-sft-v10.Q5_K_S.gguf](https://huggingface.co/TheBloke/Llama2-70B-OASST-SFT-v10-GGUF/blob/main/llama2-70b-oasst-sft-v10.Q5_K_S.gguf) | Q5_K_S | 5 | 47.74 GB| 50.24 GB | large, low quality loss - recommended |
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| [llama2-70b-oasst-sft-v10.Q5_K_M.gguf](https://huggingface.co/TheBloke/Llama2-70B-OASST-SFT-v10-GGUF/blob/main/llama2-70b-oasst-sft-v10.Q5_K_M.gguf) | Q5_K_M | 5 | 49.03 GB| 51.53 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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<!-- README_GGUF.md-provided-files end -->
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<!-- README_GGUF.md-how-to-run start -->
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| [llama2-70b-oasst-sft-v10.Q4_K_M.gguf](https://huggingface.co/TheBloke/Llama2-70B-OASST-SFT-v10-GGUF/blob/main/llama2-70b-oasst-sft-v10.Q4_K_M.gguf) | Q4_K_M | 4 | 41.69 GB| 44.19 GB | medium, balanced quality - recommended |
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| [llama2-70b-oasst-sft-v10.Q5_K_S.gguf](https://huggingface.co/TheBloke/Llama2-70B-OASST-SFT-v10-GGUF/blob/main/llama2-70b-oasst-sft-v10.Q5_K_S.gguf) | Q5_K_S | 5 | 47.74 GB| 50.24 GB | large, low quality loss - recommended |
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| [llama2-70b-oasst-sft-v10.Q5_K_M.gguf](https://huggingface.co/TheBloke/Llama2-70B-OASST-SFT-v10-GGUF/blob/main/llama2-70b-oasst-sft-v10.Q5_K_M.gguf) | Q5_K_M | 5 | 49.03 GB| 51.53 GB | large, very low quality loss - recommended |
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| llama2-70b-oasst-sft-v10.Q6_K.bin | q6_K | 6 | 56.82 GB | 59.32 GB | very large, extremely low quality loss |
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| llama2-70b-oasst-sft-v10.Q8_0.bin | 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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### Q6_K and Q8_0 files are split and require joining
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**Note:** HF does not support uploading files larger than 50GB. Therefore I have uploaded the Q6_K and Q8_0 files as split files.
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<details>
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<summary>Click for instructions regarding Q6_K and Q8_0 files</summary>
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### q6_K
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Please download:
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* `llama2-70b-oasst-sft-v10.Q6_K.gguf-split-a`
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* `llama2-70b-oasst-sft-v10.Q6_K.gguf-split-b`
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### q8_0
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Please download:
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* `llama2-70b-oasst-sft-v10.Q8_0.gguf-split-a`
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* `llama2-70b-oasst-sft-v10.Q8_0.gguf-split-b`
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To join the files, do the following:
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Linux and macOS:
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```
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cat llama2-70b-oasst-sft-v10.Q6_K.gguf-split-* > llama2-70b-oasst-sft-v10.Q6_K.gguf && rm llama2-70b-oasst-sft-v10.Q6_K.gguf-split-*
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cat llama2-70b-oasst-sft-v10.Q8_0.gguf-split-* > llama2-70b-oasst-sft-v10.Q8_0.gguf && rm llama2-70b-oasst-sft-v10.Q8_0.gguf-split-*
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```
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Windows command line:
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```
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COPY /B llama2-70b-oasst-sft-v10.Q6_K.gguf-split-a + llama2-70b-oasst-sft-v10.Q6_K.gguf-split-b llama2-70b-oasst-sft-v10.Q6_K.gguf
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del llama2-70b-oasst-sft-v10.Q6_K.gguf-split-a llama2-70b-oasst-sft-v10.Q6_K.gguf-split-b
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COPY /B llama2-70b-oasst-sft-v10.Q8_0.gguf-split-a + llama2-70b-oasst-sft-v10.Q8_0.gguf-split-b llama2-70b-oasst-sft-v10.Q8_0.gguf
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del llama2-70b-oasst-sft-v10.Q8_0.gguf-split-a llama2-70b-oasst-sft-v10.Q8_0.gguf-split-b
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```
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</details>
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<!-- README_GGUF.md-provided-files end -->
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<!-- README_GGUF.md-how-to-run start -->
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