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Initial GGML model commit

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  1. README.md +3 -0
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@@ -29,6 +29,9 @@ I have quantised the GGML files in this repo with the latest version. Therefore
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  | Name | Quant method | Bits | Size | RAM required | Use case |
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  | ---- | ---- | ---- | ---- | ---- | ----- |
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  | guanaco-33B.ggmlv3.q4_0.bin | q4_0 | 4 | 18.30 GB | 20.80 GB | 4-bit. |
 
 
 
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  | guanaco-33B.ggmlv3.q8_0.bin | q8_0 | 8 | 34.56 GB | 37.06 GB | 8-bit. Almost indistinguishable from float16. Huge resource use and slow. Not recommended for normal use. |
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  | Name | Quant method | Bits | Size | RAM required | Use case |
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  | ---- | ---- | ---- | ---- | ---- | ----- |
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  | guanaco-33B.ggmlv3.q4_0.bin | q4_0 | 4 | 18.30 GB | 20.80 GB | 4-bit. |
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+ | guanaco-33B.ggmlv3.q4_1.bin | q4_1 | 4 | 20.33 GB | 22.83 GB | 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. |
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+ | guanaco-33B.ggmlv3.q5_0.bin | q5_0 | 5 | 22.37 GB | 24.87 GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
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+ | guanaco-33B.ggmlv3.q5_1.bin | q5_1 | 5 | 24.40 GB | 26.90 GB | 5-bit. Even higher accuracy, resource usage and slower inference. |
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  | guanaco-33B.ggmlv3.q8_0.bin | q8_0 | 8 | 34.56 GB | 37.06 GB | 8-bit. Almost indistinguishable from float16. Huge resource use and slow. Not recommended for normal use. |
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