![]() ![]() Valid options: transformers, autogptq, gptq-for-llama, exllama, exllama_hf, llamacpp, rwkv, ctransformers Show buttons on chat tab instead of hover menu.Ĭhoose the model loader manually, otherwise, it will get autodetected. If you want to load more than one extension, write the names separated by spaces. If you create a file called settings.yaml, this file will be loaded by default without the need to use the -settings flag. See settings-template.yaml for an example. Load the default interface settings from this yaml file. Show a model menu in the terminal when the web UI is first launched. ![]() If you want to load more than one LoRA, write the names separated by spaces. ![]() The name of the character to load in chat mode by default. Chat histories are not saved or automatically loaded. Optionally, you can use the following command-line flags: Basic settings Flag On Linux or WSL, it can be automatically installed with these two commands ( source): Recommended if you have some experience with the command-line. Huge thanks to and for their contributions to these installers.There is no need to run the installers as admin.The source codes and more information can be found here:.The web UI and all its dependencies will be installed in the same folder. Just download the zip above, extract it, and double-click on "start". To learn how to use the various features, check out the Documentation: Installation One-click installers Windows API, including endpoints for websocket streaming ( see the examples).Markdown output with LaTeX rendering, to use for instance with GALACTICA.Multimodal pipelines, including LLaVA and MiniGPT-4.Use llama.cpp models with transformers samplers ( llamacpp_HF loader).4-bit, 8-bit, and CPU inference through the transformers library.Precise instruction templates for chat mode, including Llama-2-chat, Alpaca, Vicuna, WizardLM, StableLM, and many others.LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA.Dropdown menu for quickly switching between different models.Multiple model backends: transformers, llama.cpp, ExLlama, ExLlamaV2, AutoGPTQ, GPTQ-for-LLaMa, CTransformers.3 interface modes: default (two columns), notebook, and chat.Its goal is to become the AUTOMATIC1111/stable-diffusion-webui of text generation. A Gradio web UI for Large Language Models. ![]()
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