h2ogpt
core
| h2ogpt | core | |
|---|---|---|
| 28 | 12 | |
| 10,458 | 1,969 | |
| 3.0% | 5.4% | |
| 10.0 | 9.8 | |
| 2 days ago | about 21 hours ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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.
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
core
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
I haven't personally tried this for anything serious yet, but to get the thread started:
Cheshire Cat [0] looks promising. It's a framework for building AI assistants by providing it with documents that it stores as "memories" that can be retrieved later. I'm not sure how well it works yet, but it has an active community on Discord and seems to be developing rapidly.
[0] https://github.com/cheshire-cat-ai/core
- Cheshire cat AI: open-source and customizable AI architecture
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[Chat Gpt] Cheshire Cat - Livello open source sopra qualsiasi modello di lingua (estendibile tramite plugin)
[https://github.com/pieroit/cheshire-cat lasting(https://github.com/pieroit/cheshire-cat)
- Composable, customisable, self-hosted AI architecture: meet the Cheshire Cat
- Cheshire Cat - Open source layer on top of any language model (extendible via plugins)
What are some alternatives?
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
anything-llm - The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
privateGPT - Interact with your documents using the power of GPT, 100% privately, no data leaks [Moved to: https://github.com/zylon-ai/private-gpt]
gpt4all - gpt4all: run open-source LLMs anywhere
llama_index - LlamaIndex is a data framework for your LLM applications
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
embedchain - Personalizing LLM Responses
local_llama - This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies.
gpt-researcher - GPT based autonomous agent that does online comprehensive research on any given topic
h2o-llmstudio - H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows