New GGMLv3 format for breaking llama.cpp change May 19th commit 2d5db48

README.md

@@ -18,32 +18,33 @@ It was created by merging the LoRA provided in the above repo with the original
 
 The files in this repo were then quantized to 4bit and 5bit for use with [llama.cpp](https://github.com/ggerganov/llama.cpp).
 
-## REQUIRES LATEST LLAMA.CPP (May 12th 2023 - commit b9fd7ee)!
+## THE FILES IN MAIN BRANCH REQUIRES LATEST LLAMA.CPP (May 19th 2023 - commit 2d5db48)!
 
-llama.cpp recently made a breaking change to its quantisation methods.
+llama.cpp recently made another breaking change to its quantisation methods - https://github.com/ggerganov/llama.cpp/pull/1508
 
-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.
+I have quantised the GGML files in this repo with the latest version. Therefore you will require llama.cpp compiled on May 19th or later (commit `2d5db48` or later) to use them.
 
-The previous files, which will still work in older versions of llama.cpp, can be found in branch `previous_llama`.
+For files compatible with the previous version of llama.cpp, please see branch `previous_llama_ggmlv2`.
 
 ## Provided files
 | Name | Quant method | Bits | Size | RAM required | Use case |
 | ---- | ---- | ---- | ---- | ---- | ----- |
-`gpt4-alpaca-lora-30B.ggml.q4_0.bin` | q4_0 | 4bit | 20.3GB | 23GB | 4bit. |
-`gpt4-alpaca-lora-30B.ggml.q5_0.bin` | q5_0 | 5bit | 22.4GB | 25GB | 5bit. Higher accuracy, higher resource usage, slower inference. |
-`gpt4-alpaca-lora-30B.ggml.q5_1.bin` | q5_1 | 5bit | 24.4GB | 27GB | 5bit. Even higher accuracy and resource usage, and slower inference. |
+`gpt4-alpaca-lora-30B.ggmlv3.q4_0.bin` | q4_0 | 4bit | 20.3GB | 23GB | 4bit. |
+`gpt4-alpaca-lora-30B.ggmlv3.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. |
+`gpt4-alpaca-lora-30B.ggmlv3.q5_0.bin` | q5_0 | 5bit | 22.4GB | 25GB | 5bit. Higher accuracy, higher resource usage, slower inference. |
+`gpt4-alpaca-lora-30B.ggmlv3.q5_1.bin` | q5_1 | 5bit | 24.4GB | 27GB | 5bit. Even higher accuracy and resource usage, and slower inference. |
 
 ## How to run in `llama.cpp`
 
 I use the following command line; adjust for your tastes and needs:
 
 ```
-./main -t 18 -m gpt4-alpaca-lora-30B.GGML.q4_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.
+./main -t 18 -m gpt4-alpaca-lora-30B.ggmlv3.q4_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:"
 ```
-Change `-t 18` to the number of physical CPU cores you have. For example if your system has 8 cores/16 threads, use `-t 8`.
+Change `-t 18` to the number of physical CPU cores you have. For example if your system has 6 cores/12 threads, use `-t 6`.
 
 If you want to have a chat-style conversation, replace the `-p <PROMPT>` argument with `-i -ins`
 
@@ -53,7 +54,7 @@ Create a model directory that has  `ggml` (case sensitive) in its name. Then put
 
 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 that as of May 12th, text-gen-ui likely won't support the newly updated GGML models until it's been updated.
+Note: at this time text-generation-webui may not support the new May 19th llama.cpp quantisation methods for q4_0, q4_1 and q8_0 files.
 
 # Original GPT4 Alpaca Lora model card