Merge dev branch

README.md

@@ -12,22 +12,23 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
 
 ## Features
 
-- Supports multiple text generation backends in one UI/API, including [Transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp), [ExLlamaV3](https://github.com/turboderp-org/exllamav3), and [ExLlamaV2](https://github.com/turboderp-org/exllamav2). [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) is supported via its own [Dockerfile](https://github.com/oobabooga/text-generation-webui/blob/main/docker/TensorRT-LLM/Dockerfile), and the Transformers loader is compatible with libraries like [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [HQQ](https://github.com/mobiusml/hqq), and [AQLM](https://github.com/Vahe1994/AQLM), but they must be installed manually.
-- OpenAI-compatible API with Chat and Completions endpoints – see [examples](https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API#examples).
-- Automatic prompt formatting using Jinja2 templates.
+- Supports multiple text generation backends in one UI/API, including [llama.cpp](https://github.com/ggerganov/llama.cpp), [Transformers](https://github.com/huggingface/transformers), [ExLlamaV3](https://github.com/turboderp-org/exllamav3), and [ExLlamaV2](https://github.com/turboderp-org/exllamav2).
+  - [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) is also supported via its own [Dockerfile](https://github.com/oobabooga/text-generation-webui/blob/main/docker/TensorRT-LLM/Dockerfile).
+  - Additional quantization libraries like [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [HQQ](https://github.com/mobiusml/hqq), and [AQLM](https://github.com/Vahe1994/AQLM) can be used with the Transformers loader if you install them manually.
+- Easy setup: Choose between **portable builds** (zero setup, just unzip and run) for llama.cpp GGUF models on Windows/Linux/macOS, or the one-click installer that creates a self-contained `installer_files` directory that doesn't interfere with your system environment.
+- UI that resembles the original ChatGPT style.
+- Automatic prompt formatting using Jinja2 templates. You don't need to ever worry about prompt formats.
 - Three chat modes: `instruct`, `chat-instruct`, and `chat`, with automatic prompt templates in `chat-instruct`.
-- "Past chats" menu to quickly switch between conversations.
 - Free-form text generation in the Default/Notebook tabs without being limited to chat turns. You can send formatted conversations from the Chat tab to these.
 - Multiple sampling parameters and generation options for sophisticated text generation control.
-- Switch between different models easily in the UI without restarting.
-- Simple LoRA fine-tuning tool.
-- Requirements installed in a self-contained `installer_files` directory that doesn't interfere with the system environment.
+- Switch between different models easily in the UI without restarting, with fine control over settings.
+- OpenAI-compatible API with Chat and Completions endpoints – see [examples](https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API#examples).
+- 100% offline and private, with zero telemetry, external resources, or remote update requests.
 - Extension support, with numerous built-in and user-contributed extensions available. See the [wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details.
-- Completely private: no telemetry, no tracking, no remote connections.
 
 ## How to install
 
-#### Option 1: Portable builds
+#### Option 1: Portable builds (start here)
 
 No installation needed – just unzip and run. Compatible with GGUF (llama.cpp) models on Windows, Linux, and macOS.