Update README.md

README.md

@@ -29,38 +29,18 @@ GGML files are for CPU inference using [llama.cpp](https://github.com/ggerganov/
 ## Provided files
 | Name | Quant method | Bits | Size | RAM required | Use case |
 | ---- | ---- | ---- | ---- | ---- | ----- |
-`h2ogptq-oasst1-512-30B.ggml.q4_0.bin` | q4_0 | 4bit | 19GB | 21GB | Maximum compatibility |
-`h2ogptq-oasst1-512-30B.ggml.q4_2.bin` | q4_2 | 4bit | 19GB | 21GB | Best compromise between resources, speed and quality |
-`h2ogptq-oasst1-512-30B.ggml.q5_0.bin` | q5_0 | 5bit | 21GB | 23GB | Brand new 5bit method. Potentially higher quality than 4bit, at cost of slightly higher resources. |
-`h2ogptq-oasst1-512-30B.ggml.q5_1.bin` | q5_1 | 5bit | 23GB | 25GB | 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.
-
-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.
-
-If and when the q4_2 file no longer works with recent versions of llama.cpp I will endeavour to update it.
-
-If you want to ensure guaranteed compatibility with a wide range of llama.cpp versions, use the q4_0 file.
-
-## 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.
+`h2ogptq-oasst1-512-30B.ggml.q4_0.bin` | q4_0 | 4bit | 20.3GB | 25GB | 4-bit. |
+`h2ogptq-oasst1-512-30B.ggml.q4_1.bin` | q4_1 | 4bit | 24.4GB | 26GB | 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. |
+`h2ogptq-oasst1-512-30B.ggml.q5_0.bin` | q5_0 | 5bit | 22.4GB | 25GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
+`h2ogptq-oasst1-512-30B.ggml.q5_1.bin` | q5_1 | 5bit | 24.4GB | 26GB | 5-bit. Even higher accuracy, and higher resource usage and slower inference.|
+`h2ogptq-oasst1-512-30B.ggml.q8_0.bin` | q8_0 | 8bit | 36.6GB | 39GB | 8-bit. Almost indistinguishable from float16. Huge resource use and slow. Not recommended for normal use. |
 
 ## How to run in `llama.cpp`
 
 I use the following command line; adjust for your tastes and needs:
 
 ```
-./main -t 12 -m h2ogptq-oasst1-512-30B.ggml.q4_2.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.
+./main -t 8 -m h2ogptq-oasst1-512-30B.ggml.q5_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.
 ### Instruction:
 Write a story about llamas
 ### Response:"
@@ -71,12 +51,9 @@ If you want to have a chat-style conversation, replace the `-p <PROMPT>` argumen
 
 ## How to run in `text-generation-webui`
 
-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.
-
-**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.
+GGML models can be loaded into text-generation-webui by installing the llama.cpp module, then placing the ggml model file in a model folder as usual.
 
+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).
 
 # Original h2oGPT Model Card
 ## Summary