Update README.md

README.md

@@ -2,6 +2,8 @@
 license: other
 datasets:
 - ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
+tags:
+- uncensored
 inference: false
 ---
 
@@ -26,11 +28,11 @@ I have quantised the GGML files in this repo with the latest version. Therefore
 ## Provided files
 | Name | Quant method | Bits | Size | RAM required | Use case |
 | ---- | ---- | ---- | ---- | ---- | ----- |
-`WizardLM-30B-Uncensored.q4_0.bin` | q4_0 | 4bit | 20.3GB | 23GB | 4bit. |
-`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. |
+`WizardLM-30B-Uncensored.q4_0.bin` | q4_0 | 4bit | 18.3GB | 20GB | 4bit. |
+`WizardLM-30B-Uncensored.q4_1.bin` | q4_1 | 4bit | 20.3GB | 23GB | 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. |
 `WizardLM-30B-Uncensored.q5_0.bin` | q5_0 | 5bit | 22.4GB | 25GB | 5-bit. Higher accuracy, higher resource usage, slower inference. |
 `WizardLM-30B-Uncensored.q5_1.bin` | q5_1 | 5bit | 24.4GB | 27GB | 5-bit. Even higher accuracy and resource usage, and slower inference. |
-`WizardLM-30B-Uncensored.q8_0.bin` | q8_0 | 5bit | 36.0GB | 38GB | 5-bit. Even higher accuracy, resource usage and slower inference.|
+`WizardLM-30B-Uncensored.q8_0.bin` | q8_0 | 5bit | 34.6GB | 38GB | 8-bit. Almost indistinguishable from float16. Huge resource use and slow. Not recommended for normal use.|
 
 ## How to run in `llama.cpp`