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@@ -26,11 +26,11 @@ I have quantised the GGML files in this repo with the latest version. Therefore
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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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- `WizardLM-30B-Uncensored.q4_0.bin` | q4_0 | 4bit | 4.2GB | 6GB | 4-bit. |
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- `WizardLM-30B-Uncensored.q4_1.bin` | q4_1 | 4bit | 4.63GB | 6GB | 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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- `WizardLM-30B-Uncensored.q5_0.bin` | q5_0 | 5bit | 4.63GB | 7GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
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- `WizardLM-30B-Uncensored.q5_1.bin` | q5_1 | 5bit | 5.0GB | 7GB | 5-bit. Even higher accuracy, resource usage and slower inference.|
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- `WizardLM-30B-Uncensored.q8_0.bin` | q8_0 | 5bit | 9.0GB | 11 | 5-bit. Even higher accuracy, resource usage and slower inference.|
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  ## How to run in `llama.cpp`
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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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+ `WizardLM-30B-Uncensored.q4_0.bin` | q4_0 | 4bit | 20.3GB | 23GB | 4bit. |
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+ `WizardLM-30B-Uncensored.q4_1.bin` | q4_1 | 4bit | 22.4GB | 25GB | 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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+ `WizardLM-30B-Uncensored.q5_0.bin` | q5_0 | 5bit | 22.4GB | 25GB | 5-bit. Higher accuracy, higher resource usage, slower inference. |
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+ `WizardLM-30B-Uncensored.q5_1.bin` | q5_1 | 5bit | 24.4GB | 27GB | 5-bit. Even higher accuracy and resource usage, and slower inference. |
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+ `WizardLM-30B-Uncensored.q8_0.bin` | q8_0 | 5bit | 36.0GB | 38GB | 5-bit. Even higher accuracy, resource usage and slower inference.|
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  ## How to run in `llama.cpp`
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