OpenChat
h2ogpt
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| OpenChat | h2ogpt | |
|---|---|---|
| 13 | 28 | |
| 5,052 | 10,398 | |
| 0.8% | 5.3% | |
| 9.5 | 10.0 | |
| 2 months ago | 5 days ago | |
| JavaScript | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
OpenChat
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Open source Q&A chatbot UI Recommendation?
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.
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OpenCopilot – AI Copilot (sidekick) for your own SaaS product
I think that is fair.
I deleted the old custom license and replaced it with MIT license.
https://github.com/openchatai/OpenChat/blob/main/LICENSE
We will also make sure that MIT is our to-go license in the coming projects.
- OpenChat - LLMs custom-chatbots console
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Run and create custom ChatGPT-like bots with OpenChat
I just wrote a GitHub issue outlining some questions I have about this project. I presume will get deleted soon so I'm posting here:
https://github.com/openchatai/OpenChat/issues/43
- You can upload your entire codebase/git repo to OpenChat and ask GPT-3 to implement whatever you want. it will have the full context of your code base and it will answer your questions in the same style it's written in your codebase.
- OpenChat - Custom ChatGPT for anything (with ability to embed the chatbot on your website as a widget)
- Show HN: OpenChat – Open-Source LLM chatbots console
h2ogpt
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
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
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chatgpt alternative
Here's the links: https://github.com/h2oai/h2ogpt/blob https://github.com/h2oai/h2ogpt/blob/main/docs/README_LangChain.md
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Went down the rabbit hole of 100% local RAG, it works but are there better options?
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.
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[SEEKING ADVICE] Looking for Existing Repos (Open-Source, VM-Hosted, & GPU-Compatible)
I've stumbled upon h2ogptas a potential starting point. Are there better solutions or repositories that can meet these requirements?
- H2Oai GPT CPU
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Open source Q&A chatbot UI Recommendation?
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.
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My experience on starting with fine tuning LLMs with custom data
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.
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H2O.ai Introduces h2oGPT: A Suite of Open-Source Code Repositories for Democratizing Large Language Models (LLMs)
Github link: https://github.com/h2oai/h2ogpt
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tokenizers error is driving me nuts
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
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LLM for PDFs
privateGPT or h2ogpt
What are some alternatives?
llama-api-server - A OpenAI API compatible REST server for llama.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
privateGPT - Interact with your documents using the power of GPT, 100% privately, no data leaks [Moved to: https://github.com/zylon-ai/private-gpt]
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
llama_index - LlamaIndex is a data framework for your LLM applications
simpleAI - An easy way to host your own AI API and expose alternative models, while being compatible with "open" AI clients.
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
gpt-jargon - Jargon is a natural language programming language specified and executed by LLMs like GPT-4.
local_llama - This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies.
convostack - Plug and play embeddable AI chatbot widget and backend deployment framework
h2o-llmstudio - H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/