diff --git a/README.md b/README.md
index 6ac659f0..f0b724e0 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,6 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
 * [4-bit GPTQ mode](docs/GPTQ-models-(4-bit-mode).md)
 * [LoRA (loading and training)](docs/Using-LoRAs.md)
 * [llama.cpp](docs/llama.cpp-models.md)
-* [RWKV model](docs/RWKV-model.md)
 * 8-bit and 4-bit through bitsandbytes
 * Layers splitting across GPU(s), CPU, and disk
 * CPU mode
@@ -53,8 +52,6 @@ Just download the zip above, extract it, and double-click on "start". The web UI
 
 Recommended if you have some experience with the command line.
 
-On Windows, I additionally recommend carrying out the installation on WSL instead of the base system: [WSL installation guide](https://github.com/oobabooga/text-generation-webui/blob/main/docs/WSL-installation-guide.md).
-
 #### 0. Install Conda
 
 https://docs.conda.io/en/latest/miniconda.html
@@ -81,6 +78,7 @@ conda activate textgen
 | Linux/WSL | NVIDIA | `pip3 install torch torchvision torchaudio` |
 | Linux | AMD | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2` |
 | MacOS + MPS (untested) | Any | `pip3 install torch torchvision torchaudio` |
+| Windows | NVIDIA | `pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117` |
 
 The up-to-date commands can be found here: https://pytorch.org/get-started/locally/. 
 
@@ -112,10 +110,6 @@ bitsandbytes >= 0.39 may not work on older NVIDIA GPUs. In that case, to use `--
 * Linux: `pip install bitsandbytes==0.38.1`
 * Windows: `pip install https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl`
 
-### Alternative: manual Windows installation
-
-As an alternative to the recommended WSL method, you can install the web UI natively on Windows using this guide. It will be a lot harder and the performance may be slower: [Windows installation guide](https://github.com/oobabooga/text-generation-webui/blob/main/docs/Windows-installation-guide.md).
-
 ### Alternative: Docker
 
 ```
@@ -158,7 +152,7 @@ For example:
 
 * If you want to download a model manually, note that all you need are the json, txt, and pytorch\*.bin (or model*.safetensors) files. The remaining files are not necessary.
 
-* If you want to download a protected model (one gated behind accepting a license or otherwise private, like `bigcode/starcoder`) you can set the environment variables `HF_USER` to your huggingface username and `HF_PASS` to your password or (_as a better option_) to a [User Access Token](https://huggingface.co/settings/tokens). Note that you will need to accept the model terms on the Hugging Face website before starting the download.
+* If you want to download a protected model (one gated behind accepting a license or otherwise private, like `bigcode/starcoder`) you can set the environment variables `HF_USER` to your huggingface username and `HF_PASS` to your password -- or, as a better option, to a [User Access Token](https://huggingface.co/settings/tokens). Note that you will need to accept the model terms on the Hugging Face website before starting the download.
 
 #### GGML models
 
@@ -330,7 +324,7 @@ Out of memory errors? [Check the low VRAM guide](docs/Low-VRAM-guide.md).
 
 ## Presets
 
-Inference settings presets can be created under `presets/` as text files. These files are detected automatically at startup.
+Inference settings presets can be created under `presets/` as yaml files. These files are detected automatically at startup.
 
 By default, 10 presets based on NovelAI and KoboldAI presets are included. These were selected out of a sample of 43 presets after applying a K-Means clustering algorithm and selecting the elements closest to the average of each cluster.