Update README

README.md

@@ -10,28 +10,23 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
 
 ## Features
 
-* Dropdown menu for switching between models
-* Notebook mode that resembles OpenAI's playground
-* Chat mode for conversation and role-playing
-* Instruct mode compatible with various formats, including Alpaca, Vicuna, Open Assistant, Dolly, Koala, ChatGLM, MOSS, RWKV-Raven, Galactica, StableLM, WizardLM, Baize, Ziya, Chinese-Vicuna, MPT, INCITE, Wizard Mega, KoAlpaca, Vigogne, Bactrian, h2o, and OpenBuddy
+* 3 interface modes: default, notebook, and chat
+* Dropdown menu for quickly switching between different models
+* LoRA: load and unload LoRAs on the fly, load multiple LoRAs at the same time, train a new LoRA
+* Precise instruction templates in chat mode, including Alpaca, Vicuna, Open Assistant, Dolly, Koala, ChatGLM, MOSS, RWKV-Raven, Galactica, StableLM, WizardLM, Baize, Ziya, Chinese-Vicuna, MPT, INCITE, Wizard Mega, KoAlpaca, Vigogne, Bactrian, h2o, and OpenBuddy
 * [Multimodal pipelines, including LLaVA and MiniGPT-4](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal)
+* Multiple model backends: tranformers, llama.cpp, AutoGPTQ, GPTQ-for-LLaMa, RWKV, FlexGen
+* 8-bit and 4-bit inference through bitsandbytes
+* CPU mode for transformers models
+* [DeepSpeed ZeRO-3 inference](docs/DeepSpeed.md)
+* [Extension support](docs/Extensions.md)
+* [Custom chat characters](docs/Chat-mode.md)
+* Very efficient text streaming
 * Markdown output with LaTeX rendering, to use for instance with [GALACTICA](https://github.com/paperswithcode/galai)
 * Nice HTML output for GPT-4chan
-* [Custom chat characters](docs/Chat-mode.md)
-* Advanced chat features (send images, get audio responses with TTS)
-* Very efficient text streaming
-* Parameter presets
-* [LLaMA model](docs/LLaMA-model.md)
-* [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)
-* 8-bit and 4-bit through bitsandbytes
-* Layers splitting across GPU(s), CPU, and disk
-* CPU mode
-* [FlexGen](docs/FlexGen.md)
-* [DeepSpeed ZeRO-3](docs/DeepSpeed.md)
-* API [with](https://github.com/oobabooga/text-generation-webui/blob/main/api-example-stream.py) streaming and [without](https://github.com/oobabooga/text-generation-webui/blob/main/api-example.py) streaming
-* [Extensions](docs/Extensions.md) - see the [user extensions list](https://github.com/oobabooga/text-generation-webui-extensions)
+* API, including endpoints for websocket streaming ([see the examples](https://github.com/oobabooga/text-generation-webui/blob/main/api-examples))
+
+To learn how to use the various features, check out the Documentation: https://github.com/oobabooga/text-generation-webui/tree/main/docs
 
 ## Installation
 
@@ -95,14 +90,6 @@ cd text-generation-webui
 pip install -r requirements.txt
 ```
 
-#### 4. Install GPTQ
-
-The base installation covers [transformers](https://github.com/huggingface/transformers) models (`AutoModelForCausalLM` and `AutoModelForSeq2SeqLM` specifically) and [llama.cpp](https://github.com/ggerganov/llama.cpp) (GGML) models.
-
-To use GPTQ models, the additional installation steps below are necessary:
-
-[GPTQ models (4 bit mode)](https://github.com/oobabooga/text-generation-webui/blob/main/docs/GPTQ-models-(4-bit-mode).md)
-
 #### llama.cpp with GPU acceleration
 
 Requires the additional compilation step described here: [GPU acceleration](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md#gpu-acceleration).
@@ -154,9 +141,7 @@ For example:
 
     python download-model.py facebook/opt-1.3b
 
-* 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.
-
-* Set env vars `HF_USER` and `HF_PASS` to your Hugging Face username and password (or [User Access Token](https://huggingface.co/settings/tokens)) to download a protected model. The model's terms must first be accepted on the HF website.
+To download a protected model, set env vars `HF_USER` and `HF_PASS` to your Hugging Face username and password (or [User Access Token](https://huggingface.co/settings/tokens)). The model's terms must first be accepted on the HF website.
 
 #### GGML models
 
@@ -164,6 +149,10 @@ You can drop these directly into the `models/` folder, making sure that the file
 
 #### GPT-4chan
 
+<details>
+<summary>
+Download instructions
+</summary>
 [GPT-4chan](https://huggingface.co/ykilcher/gpt-4chan) has been shut down from Hugging Face, so you need to download it elsewhere. You have two options:
 
 * Torrent: [16-bit](https://archive.org/details/gpt4chan_model_float16) / [32-bit](https://archive.org/details/gpt4chan_model)
@@ -181,6 +170,9 @@ After downloading the model, follow these steps:
 python download-model.py EleutherAI/gpt-j-6B --text-only
 ```
 
+When you load this model in default or notebook modes, the "HTML" tab will show the generated text in 4chan format.
+</details>
+
 ## Starting the web UI
 
     conda activate textgen
@@ -331,15 +323,7 @@ Out of memory errors? [Check the low VRAM guide](docs/Low-VRAM-guide.md).
 
 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.
-
-[Visualization](https://user-images.githubusercontent.com/112222186/228956352-1addbdb9-2456-465a-b51d-089f462cd385.png)
-
-## Documentation
-
-Make sure to check out the documentation for an in-depth guide on how to use the web UI.
-
-https://github.com/oobabooga/text-generation-webui/tree/main/docs
+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: [tSNE visualization](https://user-images.githubusercontent.com/112222186/228956352-1addbdb9-2456-465a-b51d-089f462cd385.png).
 
 ## Contributing