# Models ### Text * [GPT4All Chat](https://gpt4all.io/index.html) - run local windows/linux/mac app like ChatGPT * [oobabooga text-generation-webui](https://github.com/oobabooga/text-generation-webui) - it's like auto1111 sd web ui but for text models * [StableLM space](https://huggingface.co/spaces/stabilityai/stablelm-tuned-alpha-chat) - huggingface space for language model from Stability AI * [Goose.ai Playground](https://goose.ai/playground) - can use their playground to generate text with GPT-Neo * [GPT Neo Colab notebook](https://colab.research.google.com/drive/1KDNsA0EpofIMEpd64hJCpxGhpa2lEOsi?usp=sharing) - use GPT-neo 1.3B and 2.7B from Google colab * [GPT Neo HuggingFace](https://huggingface.co/EleutherAI/gpt-neo-2.7B) - run GPT-neo 2.7B on HuggingFace * [Textsynth Playground](https://textsynth.com/playground.html) - text completion using large language models * [OpenAI GPT3 Playground](https://beta.openai.com/playground) - generate text with GPT-3 (requires free account) * [Dalle-2 Prompt Generator](http://dalle2-prompt-generator.s3-website-us-west-2.amazonaws.com/) - nice site that let's you generate interesting text prompts --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://metaverse-imagen.gitbook.io/ai-tools-research/ai-tools-main-categories/ai-resources/huggingface/models.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.