Update README.md

README.md

@@ -33,25 +33,22 @@ This repo contains 4bit GPTQ models for GPU inference, quantised using [GPTQ-for
 
 ## How to easily download and use this model in text-generation-webui
 
-Open the text-generation-webui UI as normal.
+Make sure text-generation-webui is updated to the latest version.
+
+## How to easily download and use this model in text-generation-webui
+
+Please make sure you're using the latest version of text-generation-webui
 
 1. Click the **Model tab**.
 2. Under **Download custom model or LoRA**, enter `TheBloke/wizardLM-7B-GPTQ`.
 3. Click **Download**.
-4. Wait until it says it's finished downloading.
-5. Click the **Refresh** icon next to **Model** in the top left.
-6. In the **Model drop-down**: choose the model you just downloaded,`wizardLM-7B-GPTQg`.
-7. If you see an error in the bottom right, ignore it - it's temporary.
-8. Fill out the `GPTQ parameters` on the right: `Bits = 4`, `Groupsize = 128`, `model_type = Llama`
-9. Click **Save settings for this model** in the top right.
-10. Click **Reload the Model** in the top right.
-11. Once it says it's loaded, click the **Text Generation tab** and enter a prompt!
-
-## GIBBERISH OUTPUT IN `text-generation-webui`?
-
-Please read the Provided Files section below. You should use `wizardLM-7B-GPTQ-4bit-128g.compat.no-act-order.safetensors` unless you are able to use the latest GPTQ-for-LLaMa code.
-
-If you're using a text-generation-webui one click installer, you MUST use `wizardLM-7B-GPTQ-4bit-128g.compat.no-act-order.safetensors`.
+4. The model will start downloading. Once it's finished it will say "Done"
+5. In the top left, click the refresh icon next to **Model**.
+6. In the **Model** dropdown, choose the model you just downloaded: `wizardLM-7B-GPTQ`
+7. The model will automatically load, and is now ready for use!
+8. If you want any custom settings, set them and then click **Save settings for this model** followed by **Reload the Model** in the top right.
+  * Note that you do not need to set GPTQ parameters any more. These are set automatically from the file `quantize_config.json`.
+9. Once you're ready, click the **Text Generation tab** and enter a prompt to get started!
 
 ## Provided files
 
@@ -69,44 +66,6 @@ The 'compat' file will be used by default in text-generation-webui so you don't
     ```
     CUDA_VISIBLE_DEVICES=0 python3 llama.py wizardLM-7B-HF c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors wizardLM-7B-GPTQ-4bit-128g.no-act-order.safetensors
     ```
-* `wizardLM-7B-GPTQ-4bit-128g.latest.act-order.safetensors`
-  * Only works with recent GPTQ-for-LLaMa code
-  * **Does not** work with text-generation-webui one-click-installers
-  * Parameters: Groupsize = 128g. act-order.
-  * Offers highest quality quantisation, but requires recent GPTQ-for-LLaMa code
-  * Command used to create the GPTQ:
-    ```
-    CUDA_VISIBLE_DEVICES=0 python3 llama.py wizardLM-7B-HF c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors wizardLM-7B-GPTQ-4bit-128g.act-order.safetensors
-    ```
-
-## How to install manually in `text-generation-webui` and update GPTQ-for-LLaMa if necessary
-
-File `wizardLM-7B-GPTQ-4bit-128g.compat.no-act-order.safetensors` can be loaded the same as any other GPTQ file, without requiring any updates to [oobaboogas text-generation-webui](https://github.com/oobabooga/text-generation-webui).
-
-[Instructions on using GPTQ 4bit files in text-generation-webui are here](https://github.com/oobabooga/text-generation-webui/wiki/GPTQ-models-\(4-bit-mode\)).
-
-The other `safetensors` model file was created using `--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` files 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
-# Make a repositories directory
-mkdir text-generation-webui/repositories
-cd text-generation-webui/repositories
-# Clone the latest GPTQ-for-LLaMa code inside text-generation-webui
-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 wizardLM-7B-GPTQ --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 can't update GPTQ-for-LLaMa or don't want to, you can use `wizardLM-7B-GPTQ-4bit-128g.compat.no-act-order.safetensors` as mentioned above, which should work without any upgrades to text-generation-webui.
 
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