Update README.md

README.md

@@ -15,27 +15,29 @@ This is a [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa) 4bit q
 
 ## GIBBERISH OUTPUT IN `text-generation-webui`?
 
-Please read the Provided Files section below. You should use `medalpaca-13B-GPTQ-4bit-128g.no-act-order.safetensors` unless you are able to update GPTQ-for-LLaMa.
+Please read the Provided Files section below. You should use `medalpaca-13B-GPTQ-4bit-128g.no-act-order.safetensors` unless you are able to use the latest Triton branch of GPTQ-for-LLaMa.
 
 ## Provided files
 
 Two files are provided. **The second file will not work unless you use recent GPTQ-for-LLaMa code**
 
-Specifically, the second file uses `--act-order` for maximum quantisation quality and will not work with oobabooga's fork of GPTQ-for-LLaMa. Therefore at this time it will also not work with `text-generation-webui` one-click installers.
+Specifically, the second file uses `--act-order` for maximum quantisation quality and will not work with oobabooga's fork of GPTQ-for-LLaMa. Therefore at this time it will also not work with the CUDA branch of GPTQ-for-LLaMa, or `text-generation-webui` one-click installers.
 
 Unless you are able to use the latest GPTQ-for-LLaMa code, please use `medalpaca-13B-GPTQ-4bit-128g.no-act-order.safetensors`
 
 * `medalpaca-13B-GPTQ-4bit-128g.no-act-order.safetensors`
-  * Works with all versions of GPTQ-for-LLaMa code
+  * Works with all versions of GPTQ-for-LLaMa code, both Triton and CUDA branches
   * Works with text-generation-webui one-click-installers
+  * Works on Windows
   * Parameters: Groupsize = 128g. No act-order.
   * Command:
     ```
     CUDA_VISIBLE_DEVICES=0 python3 llama.py medalpaca-13b c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors medalpaca-13B-GPTQ-4bit-128g.no-act-order.safetensors
     ```
 * `medalpaca-13B-GPTQ-4bit-128g.safetensors`
-  * Only works with the latest GPTQ-for-LLaMa code
+  * Only works with the latest Triton branch of GPTQ-for-LLaMa
   * **Does not** work with text-generation-webui one-click-installers
+  * **Does not** work on Windows
   * Parameters: Groupsize = 128g. act-order.
   * Offers highest quality quantisation, but requires recent GPTQ-for-LLaMa code
   * Command:
@@ -51,7 +53,7 @@ File `medalpaca-13B-GPTQ-4bit-128g.no-act-order.safetensors` can be loaded the s
 
 The other `safetensors` model file was created with the latest GPTQ code, and uses `--act-order` to give the maximum possible quantisation quality, but this means it requires that the latest GPTQ-for-LLaMa is used inside the UI.
 
-If you want to use the act-order `safetensors` file and need to update GPTQ-for-LLaMa, here are the commands I used to clone the Triton branch of GPTQ-for-LLaMa, clone text-generation-webui, and install GPTQ into the UI:
+If you want to use the act-order `safetensors` file and need to update the Triton branch of GPTQ-for-LLaMa, here are the commands I used to clone the Triton branch of GPTQ-for-LLaMa, clone text-generation-webui, and install GPTQ into the UI:
 ```
 # Clone text-generation-webui, if you don't already have it
 git clone https://github.com/oobabooga/text-generation-webui
@@ -65,22 +67,12 @@ git clone https://github.com/qwopqwop200/GPTQ-for-LLaMa
 Then install this model into `text-generation-webui/models` and launch the UI as follows:
 ```
 cd text-generation-webui
-python server.py --model vicuna-13B-1.1-GPTQ-4bit-128g --wbits 4 --groupsize 128 --model_type Llama # add any other command line args you want
+python server.py --model medalpaca-13B-GPTQ-4bit --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 are on Windows, or cannot use the Triton branch of GPTQ for any other reason, you can try the CUDA branch instead:
-```
-git clone https://github.com/qwopqwop200/GPTQ-for-LLaMa -b cuda
-cd GPTQ-for-LLaMa
-python setup_cuda.py install
-```
-Then link that into `text-generation-webui/repositories` as described above.
-
-However I have heard reports that the CUDA code may run quite slow.
-
-Or just use `medalpaca-13B-GPTQ-4bit-128g.no-act-order.safetensors` as mentioned above, which should work without any upgrades to text-generation-webui.
+If you can't update GPTQ-for-LLaMa to the latest Triton branch, or don't want to, you can use `medalpaca-13B-GPTQ-4bit-128g.no-act-order.safetensors` as mentioned above, which should work without any upgrades to text-generation-webui.
 
 # Original model card: MedAlpaca 13b