Update README.md

README.md

@@ -29,12 +29,12 @@ This repo is the result of converting to GGML and quantising.
 ## Provided files
 | Name | Quant method | Bits | Size | RAM required | Use case |
 | ---- | ---- | ---- | ---- | ---- | ----- |
-`mpt-7b.ggmlv2.q4_0.bin` | q4_0 | 4bit | 4.21GB | 7.0GB | 4-bit. |
-`mpt-7b.ggmlv2.q4_1.bin` | q4_0 | 4bit | 4.63GB | 7.5GB | 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. |
-`mpt-7b.ggmlv2.q5_0.bin` | q5_0 | 5bit | 4.63GB | 7.5GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
-`mpt-7b.ggmlv2.q5_1.bin` | q5_1 | 5bit | 5.06GB | 7.5GB | 5-bit. Even higher accuracy, and higher resource usage and slower inference. |
-`mpt-7b.ggmlv2.q8_0.bin` | q8_0 | 8bit | 7.58GB | 9.0GB | 8-bit. Almost indistinguishable from float16. Huge resource use and slow. Not recommended for normal use. |
-`mpt-7b.ggmlv2.fp16.bin` | fp16 | 16bit | GB | GB | Full 16-bit. |
+`mpt-7b.ggmlv2.q4_0.bin` | q4_0 | 4bit | 4.16GB | 6.2GB | 4-bit. |
+`mpt-7b.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. |
+`mpt-7b.ggmlv2.q5_0.bin` | q5_0 | 5bit | 4.57GB | 6.8GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
+`mpt-7b.ggmlv2.q5_1.bin` | q5_1 | 5bit | 4,99GB | 7.2GB | 5-bit. Even higher accuracy, and higher resource usage and slower inference. |
+`mpt-7b.ggmlv2.q8_0.bin` | q8_0 | 8bit | 7.48GB | 9.6GB | 8-bit. Almost indistinguishable from float16. Huge resource use and slow. Not recommended for normal use. |
+`mpt-7b.ggmlv2.fp16.bin` | fp16 | 16bit | 13.3GB | 15.5GB | Full 16-bit. |
 
 ## Compatibilty