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. Launch the web UI in notebook mode, where the output is written to the same text box as the input. Optionally, you can use the following command-line flags: Basic settings Flag

Download GPT-J 6B's tokenizer files (they will be automatically detected when you attempt to load GPT-4chan):.Place GPT-J 6B's config.json file in that same folder: config.json.Place the files under models/gpt4chan_model_float16 or models/gpt4chan_model.Otherwise, you should use the 16-bit version.Īfter downloading the model, follow these steps: The 32-bit version is only relevant if you intend to run the model in CPU mode. GPT-4chan has been shut down from Hugging Face, so you need to download it elsewhere. You can drop these directly into the models/ folder, making sure that the file name contains ggml somewhere and ends in. 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). Python download-model.py facebook/opt-1.3b On Linux or WSL, it can be automatically installed with these two commands: 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 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.8-bit and 4-bit inference through bitsandbytes.Multimodal pipelines, including LLaVA and MiniGPT-4.Precise instruction templates for 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.LoRA: load and unload LoRAs on the fly, load multiple LoRAs at the same time, train a new LoRA.Dropdown menu for quickly switching between different models.Multiple model backends: tranformers, llama.cpp, AutoGPTQ, GPTQ-for-LLaMa, ExLlama, RWKV, FlexGen.3 interface modes: default, notebook, and chat.Its goal is to become the AUTOMATIC1111/stable-diffusion-webui of text generation. A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.

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