A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models. (by oobabooga)

Text-generation-webui Alternatives

Similar projects and alternatives to text-generation-webui

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better text-generation-webui alternative or higher similarity.

text-generation-webui reviews and mentions

Posts with mentions or reviews of text-generation-webui. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-27.
  • Show HN: I made an app to use local AI as daily driver
    30 projects | news.ycombinator.com | 27 Feb 2024
  • Ask HN: People who switched from GPT to their own models. How was it?
    3 projects | news.ycombinator.com | 26 Feb 2024
    The other answers are recommending paths which give you #1. less control and #2. projects with smaller eco-systems.

    If you want a truly general purpose front-end for LLMs, the only good solution right now is oobabooga: https://github.com/oobabooga/text-generation-webui

    All other alternatives have only small fractions of the features that oobabooga supports. All other alternatives only support a fraction of the LLM backends that oobabooga supports, etc.

  • Nvidia's Chat with RTX is a promising AI chatbot that runs locally on your PC
    7 projects | news.ycombinator.com | 13 Feb 2024
    > Downloading text-generation-webui takes a minute, let's you use any model and get going.

    What you're missing here is you're already in this area deep enough to know what ooogoababagababa text-generation-webui is. Let's back out to the "average Windows desktop user" level. Assuming they even know how to find it:

    1) Go to https://github.com/oobabooga/text-generation-webui?tab=readm...

    2) See a bunch of instructions opening a terminal window and running random batch/powershell scripts. Powershell, etc will likely prompt you with a scary warning. Then you start wondering who ooobabagagagaba is...

    3) Assuming you get this far (many users won't even get to step 1) you're greeted with a web interface[0] FILLED to the brim with technical jargon and extremely overwhelming options just to get a model loaded, which is another mind warp because you get to try to select between a bunch of random models with no clear meaning and non-sensical/joke sounding names from someone called "TheBloke". Ok...

    Let's say you somehow braved this gauntlet and get this far now you get to chat with it. Ok, what about my local documents? text-generation-webui itself has nothing for that. Repeat this process over the 10 random open source projects from a bunch of names you've never heard of in an attempt to accomplish that.

    This is "I saw this thing from Nvidia explode all over media, twitter, youtube, etc. I downloaded it from Nvidia, double-clicked, pointed it at a folder with documents, and it works".

    That's the difference and it's very significant.

    [0] - https://raw.githubusercontent.com/oobabooga/screenshots/main...

  • Meta AI releases Code Llama 70B
    6 projects | news.ycombinator.com | 29 Jan 2024
    You can download it and run it with [this](https://github.com/oobabooga/text-generation-webui). There's an API mode that you could leverage from your VS Code extension.
  • Ollama Python and JavaScript Libraries
    17 projects | news.ycombinator.com | 24 Jan 2024
    Same question here. Ollama is fantastic as it makes it very easy to run models locally, But if you already have a lot of code that processes OpenAI API responses (with retry, streaming, async, caching etc), it would be nice to be able to simply switch the API client to Ollama, without having to have a whole other branch of code that handles Alama API responses. One way to do an easy switch is using the litellm library as a go-between but it’s not ideal (and I also recently found issues with their chat formatting for mistral models).

    For an OpenAI compatible API my current favorite method is to spin up models using oobabooga TGW. Your OpenAI API code then works seamlessly by simply switching out the api_base to the ooba endpoint. Regarding chat formatting, even ooba’s Mistral formatting has issues[1] so I am doing my own in Langroid using HuggingFace tokenizer.apply_chat_template [2]

    [1] https://github.com/oobabooga/text-generation-webui/issues/53...

    [2] https://github.com/langroid/langroid/blob/main/langroid/lang...

    Related question - I assume ollama auto detects and applies the right chat formatting template for a model?

  • Ask HN: Is it feasible to train my own LLM?
    3 projects | news.ycombinator.com | 2 Jan 2024

    Consider a finetune - they're faster and relatively cheap (like, under $30 rented compute time). The link above lists them, but the steps are to gather a dataset, do the training, and evaluate your results. LLMs are about instruction/evaluation, so it's easy to show results, measure perplexity, and compare against the base model.

    If you're interested in a building a limited dataset, fun ideas might be quotes or conversations from your classmates, lessons or syllabi from your program, or other specific, local, testable information. Datasets aren't plug and play, and they're the most important part of a model.

    However, even using the same dataset can yield different results based on training parameters. I'd keep it simple and either make the test about the impact of differences in training parameters using a single dataset, or pick two already created datasets and train using the same parameters for comparison.

    Good luck in IB! I was in it until I moved cities, and it was a blast.

  • AirLLM enables 8GB MacBook run 70B LLM
    3 projects | news.ycombinator.com | 27 Dec 2023
  • Role-playing with AI will be a powerful tool for writers and educators
    2 projects | news.ycombinator.com | 12 Dec 2023
    Right, sorry I forgot to add you can override the url with `OPENAI_API_BASE` and point it to a text-generation-ui OpenAI API[0] compliant model.

    0: https://github.com/oobabooga/text-generation-webui/discussio...

  • Have Update Anxiety? You are not alone.
    2 projects | /r/Oobabooga | 10 Dec 2023
    Transformers libraries seem to constantly change how vram is proportioned using multiple gpus. People using multi gpu systems at home need to get every last bit of vram to work for them, especially when doing training. I have provided instructions on how to edit two files, one in the transformers and accelerate libraries to Explicitly Partition VRAM and Load GPUs in reverse sequence: https://github.com/oobabooga/text-generation-webui/issues/4193
  • SuperDuperDB - how to use it to talk to your documents locally using llama 7B or Mistral 7B?
    7 projects | /r/LocalLLaMA | 9 Dec 2023
    4) https://github.com/oobabooga/text-generation-webui/wiki -- oobabooga, this seems promising. Haven't tried it yet.
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