Update README.md

README.md

@@ -9,7 +9,7 @@ This version has then been quantized to 4-bit using [GPTQ-for-LLaMa](https://git
 ## Other Koala repos
 
 I have also made these other Koala repose available:
-* [GPTQ quantized 4bit 13B model in HF format](https://huggingface.co/TheBloke/koala-13B-GPTQ-4bit-128g)
+* [GPTQ quantized 4bit 13B model in `pt` and `safetensors` formats](https://huggingface.co/TheBloke/koala-13B-GPTQ-4bit-128g)
 * [Unquantized 13B model in HF format](https://huggingface.co/TheBloke/koala-13B-HF)
 * [Unquantized 7B model in HF format](https://huggingface.co/TheBloke/koala-7B-HF)
 * [Unquantized 7B model in GGML format for llama.cpp](https://huggingface.co/TheBloke/koala-7b-ggml-unquantized)
@@ -19,9 +19,10 @@ I have also made these other Koala repose available:
 This GPTQ model was quantized using [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa) with the following command:
 ```
 python3 llama.py /content/koala-7B-HF c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save /content/koala-7B-4bit-128g.pt
+python3 llama.py /content/koala-7B-HF c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors /content/koala-7B-4bit-128g.safetensors
 ```
 
-I created this model using the latest Triton branch of GPTQ-for-LLaMa but I believe it can be run with the CUDA branch also.
+I created this model using the latest Triton branch of GPTQ-for-LLaMa but it can be loaded with the CUDA branch also.
 
 ## Provided files
 
@@ -29,7 +30,7 @@ I have provided both a `pt` and `safetensors` file. Either should work.
 
 If both are present in the model directory for text-generation-webui I am not sure which it picks, so if you need one or the other specifically I'd recommend just downloading the one you need.
 
-The `olderFormat` file was created with the aim of then converting it to GGML for use with llama.cpp.  At present this file does not work.
+The `olderFormat` file was created with the aim of then converting it to GGML for use with [llama.cpp](https://github.com/ggerganov/llama.cpp).  At present this file does not work.
 
 ## How to run with text-generation-webui
 
@@ -48,12 +49,12 @@ ln -s GPTQ-for-LLaMa text-generation-webui/repositories/GPTQ-for-LLaMa
 Then install this model into `text-generation-webui/models` and run text-generation-webui as follows:
 ```
 cd text-generation-webui
-python server.py --model koala-7B-GPTQ-4bit-128g --wbits 4 --groupsize 128 --model_type Llama
+python server.py --model koala-7B-GPTQ-4bit-128g --wbits 4 --groupsize 128 --model_type Llama # add any other command line args you want
 ```
 
 The above commands assume you have installed all dependencies for GPTQ-for-LLaMa and text-generation-webui. Please see their respective repositories for further information.
 
-If you cannot use the Triton branch for any reason, I believe it should also work to use the CUDA branch instead:
+If you cannot use the Triton branch of GPTQ for any reason, it should also work to use the CUDA branch instead:
 ```
 git clone https://github.com/qwopqwop200/GPTQ-for-LLaMa -b cuda
 ```