ollama-webui VS h2ogpt

I'm a podman beginner, trying to install ollama-webui(1) using Podman on M2 MBA.

I started up Podman Desktop, and did a terminal command "docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v ollama-webui:/app/backend/data --name ollama-webui --restart always ghcr.io/ollama-webui/ollama-webui:main" based on Github's instructions, but it gave a error message something about "host".

Do you know what is the problem and how do I overcome this?

If I run the above command using Docker Desktop, it runs and installs Ollama-WebUI just fine.

(1) https://github.com/ollama-webui/ollama-webui ("Installing with Docker")

Thank you.

I set up Ollama in a docker container (really easy) and I use the Ollama web-ui here, that's very much like ChatGPT, and I have that in a container as well.

The primary use case here seems to be that it might be possible to use this tool to spend <$20/mo for the same feature set as ChatGPT+. It does not currently make any effort to support locally-hosted open source models, which is what I would have assumed from its name.

If you're interested in a fully Libre LLM stack, I've had fun lately with ollama [0] and ollama-webui [1]. It was pretty trivial to take ollama-webui's docker-compose file and set up a locally-running chat server with Mistral 7B. Trying out different models and prompts was likewise very easy to get started with.

Mistral isn't anything like as good as GPT-4, but it's Apache licensed and fully local, which meets my definition of Libre. I'll continue to use both while the FOSS stacks catch up, but it's fun to keep up with the progress on the open source stuff as tooling develops.

[0] https://github.com/jmorganca/ollama

[1] https://github.com/ollama-webui/ollama-webui

As others have said you want RAG.

The most feature complete implementation I've seen is h2ogpt[0] (not affiliated).

The code is kind of a mess (most of the logic is in an ~8000 line python file) but it supports ingestion of everything from YouTube videos to docx, pdf, etc - either offline or from the web interface. It uses langchain and a ton of additional open source libraries under the hood. It can run directly on Linux, via docker, or with one-click installers for Mac and Windows.

It has various model hosting implementations built in - transformers, exllama, llama.cpp as well as support for model serving frameworks like vLLM, HF TGI, etc or just OpenAI.

You can also define your preferred embedding model along with various other parameters but I've found the out of box defaults to be pretty sane and usable.

[0] - https://github.com/h2oai/h2ogpt

Here's the links: https://github.com/h2oai/h2ogpt/blob https://github.com/h2oai/h2ogpt/blob/main/docs/README_LangChain.md

Take a look at h2ogpt. It's open and local with API (incoming and outgoing) and impressive feature set, including RAG from docs, images, and web search.

I've stumbled upon h2ogptas a potential starting point. Are there better solutions or repositories that can meet these requirements?

Any recommendations for an open source repos that support web based chat ui where you can upload docs,pds,links,etc? So far i found https://github.com/openchatai/OpenChat but it doesnt support llama, claude, etc. Theres also https://github.com/h2oai/h2ogpt but their gradio UI is overly complicated (meant for technical people) and not user friendly.

I'm also working on the finetuning of models for Q&A and I've finetuned llama-7b, falcon-40b, and oasst-pythia-12b using HuggingFace's SFT, H2OGPT's finetuning script and lit-gpt.

Github link: https://github.com/h2oai/h2ogpt

quite a number of AI tools written in Python do not work for me and usually because of the same error: RuntimeError: Failed to import transformers.models.auto because of the following error (look up to see its traceback): No module named 'tokenizers.tokenizers' This time it's https://github.com/h2oai/h2ogpt

privateGPT or h2ogpt