Update README.md

README.md

@@ -15,34 +15,20 @@ GGML files are for CPU inference using [llama.cpp](https://github.com/ggerganov/
 * [4bit and 5bit GGML models for CPU inference](https://huggingface.co/TheBloke/gpt4-x-vicuna-13B-GGML).
 * [float16 HF model for unquantised and 8bit GPU inference](https://huggingface.co/TheBloke/gpt4-x-vicuna-13B-HF).
 
-## Provided files
-| Name | Quant method | Bits | Size | RAM required | Use case |
-| ---- | ---- | ---- | ---- | ---- | ----- |
-`gpt4-x-vicuna-13B.ggml.q4_0.bin` | q4_0 | 4bit | 8.14GB | 10GB | Maximum compatibility |
-`gpt4-x-vicuna-13B.ggml.q4_2.bin` | q4_2 | 4bit | 8.14GB | 10GB | Best compromise between resources, speed and quality |
-`gpt4-x-vicuna-13B.ggml.q5_0.bin` | q5_0 | 5bit | 8.95GB | 11GB | Brand new 5bit method. Potentially higher quality than 4bit, at cost of slightly higher resources. |
-`gpt4-x-vicuna-13B.ggml.q5_1.bin` | q5_1 | 5bit | 9.76GB | 12GB | Brand new 5bit method. Slightly higher resource usage than q5_0.|
-
-* The q4_0 file provides lower quality, but maximal compatibility. It will work with past and future versions of llama.cpp
-* The q4_2 file offers the best combination of performance and quality. This format is still subject to change and there may be compatibility issues, see below.
-* The q5_0 file is using brand new 5bit method released 26th April. This is the 5bit equivalent of q4_0.
-* The q5_1 file is using brand new 5bit method released 26th April. This is the 5bit equivalent of q4_1.
-
-## q4_2 compatibility
-
-q4_2 is a relatively new 4bit quantisation method offering improved quality. However they are still under development and their formats are subject to change.
+## REQUIRES LATEST LLAMA.CPP (May 12th 2023 - commit b9fd7ee)!
 
-In order to use these files you will need to use recent llama.cpp code. And it's possible that future updates to llama.cpp could require that these files are re-generated.
+llama.cpp recently made a breaking change to its quantisation methods.
 
-If and when the q4_2 file no longer works with recent versions of llama.cpp I will endeavour to update it.
+I have re-quantised the GGML files in this repo. Therefore you will require llama.cpp compiled on May 12th or later (commit `b9fd7ee` or later) to use them.
 
-If you want to ensure guaranteed compatibility with a wide range of llama.cpp versions, use the q4_0 file.
+The previous files, which will still work in older versions of llama.cpp, can be found in branch `previous_llama`.
 
-## q5_0 and q5_1 compatibility
-
-These new methods were released to llama.cpp on 26th April. You will need to pull the latest llama.cpp code and rebuild to be able to use them.
-
-Don't expect any third-party UIs/tools to support them yet.
+## Provided files
+| Name | Quant method | Bits | Size | RAM required | Use case |
+| ---- | ---- | ---- | ---- | ---- | ----- |
+`gpt4-x-vicuna-13B.ggml.q4_0.bin` | q4_0 | 4bit | 8.14GB | 10GB | 4-bit. |
+`gpt4-x-vicuna-13B.ggml.q5_0.bin` | q5_0 | 5bit | 8.95GB | 11GB | 5-bit. Higher accuracy, higher resource usage and slower inference.  |
+`gpt4-x-vicuna-13B.ggml.q5_1.bin` | q5_1 | 5bit | 9.76GB | 12GB | 5-bit. Even higher accuracy, higher resource usage and slower inference. |
 
 ## How to run in `llama.cpp`
 
@@ -62,9 +48,9 @@ If you want to have a chat-style conversation, replace the `-p <PROMPT>` argumen
 
 Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md).
 
-Note: at this time text-generation-webui will not support the new q5 quantisation methods.
+Note: at this time text-generation-webui will not support the newly updated llama.cpp quantisation methods.
 
-**Thireus** has written a [great guide on how to update it to the latest llama.cpp code](https://huggingface.co/TheBloke/wizardLM-7B-GGML/discussions/5) so that these files can be used in the UI.
+**Thireus** has written a [great guide on how to update it to the latest llama.cpp code](https://huggingface.co/TheBloke/wizardLM-7B-GGML/discussions/5) so that you can get support for the new llama.cpp quantisation methods sooner.
 
 # Original model card