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README.md
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@@ -24,12 +24,12 @@ This repo is the result of converting to GGML and quantising.
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## Provided files
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| Name | Quant method | Bits | Size | RAM required | Use case |
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| ---- | ---- | ---- | ---- | ---- | ----- |
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`mpt7b-instruct.ggmlv2.q4_0.bin` | q4_0 | 4bit | 4.
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`mpt7b-instruct.ggmlv2.q4_1.bin` | q4_0 | 4bit | 4.
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`mpt7b-instruct.ggmlv2.q5_0.bin` | q5_0 | 5bit | 4.
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`mpt7b-instruct.ggmlv2.q5_1.bin` | q5_1 | 5bit |
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`mpt7b-instruct.ggmlv2.q8_0.bin` | q8_0 | 8bit | 7.
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`mpt7b-instruct.ggmlv2.fp16.bin` | fp16 | 16bit |
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## Compatibilty
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## Provided files
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| Name | Quant method | Bits | Size | RAM required | Use case |
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| ---- | ---- | ---- | ---- | ---- | ----- |
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`mpt7b-instruct.ggmlv2.q4_0.bin` | q4_0 | 4bit | 4.16GB | 6.2GB | 4-bit. |
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`mpt7b-instruct.ggmlv2.q4_1.bin` | q4_0 | 4bit | 4.99GB | 7.2GB | 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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`mpt7b-instruct.ggmlv2.q5_0.bin` | q5_0 | 5bit | 4.57GB | 6.8GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
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`mpt7b-instruct.ggmlv2.q5_1.bin` | q5_1 | 5bit | 4.99GB | 7.2GB | 5-bit. Even higher accuracy, and higher resource usage and slower inference. |
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`mpt7b-instruct.ggmlv2.q8_0.bin` | q8_0 | 8bit | 7.48GB | 9.7GB | 8-bit. Almost indistinguishable from float16. Huge resource use and slow. Not recommended for normal use. |
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`mpt7b-instruct.ggmlv2.fp16.bin` | fp16 | 16bit | 13.30GB | 16GB | Full 16-bit. |
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## Compatibilty
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