h2ogpt
semantra
h2ogpt | semantra | |
---|---|---|
28 | 17 | |
10,458 | 2,271 | |
3.0% | - | |
10.0 | 6.6 | |
2 days ago | 5 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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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
semantra
- Semantra: Multi-Tool for Semantic Search
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Show HN: SeaGOAT – local, “AI-based” grep for semantic code search
Semantra! Shared it yesterday on HN https://github.com/freedmand/semantra
- Show HN: Semantra – local, private semantic search engine for your files
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Serverless Semantic Search, Free tier only
[2] https://github.com/freedmand/semantra (author of this tool)
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My experience on starting with fine tuning LLMs with custom data
Yep, same. This works decently well: https://github.com/freedmand/semantra
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Document digest & oobabooga
I've been wondering how long it'd take this project to add support for something like Semantra so I'm glad you're into it.
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Instruct-guided novel writing using WizardLM-30B-Uncensored (with SillyTavern)
It's kind of like a more more applicable version of Semantra for content generation.
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ScholarTurbo: Use ChatGPT to chat with PDFs (supports GPT-4)
That's a big part of the reason I built the open source tool Semantra[1]. I only really trust the semantic search part of this problem as it is constrained by context, so I tried to make the user experience good on top of simpler semantic search without any chatbot capabilities.
[1] https://github.com/freedmand/semantra
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Best model to act as info hub for preppers?
My dream assistant would be one that can search through these offline files and bring back relevant information. I think the closest we have to this is the Semantra project.
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VRAM limitations
Here, I'll be very blunt: I don't see any of these "The quick brown WizardLM jumps over the lazy Vicuna (Matata)" etc exciting much more people than just the member count of this subreddit any more than the already practically usable (and runs on even the low end iGPUs) kinda tools like Semantra.
What are some alternatives?
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
SeaGOAT - local-first semantic code search engine
privateGPT - Interact with your documents using the power of GPT, 100% privately, no data leaks [Moved to: https://github.com/zylon-ai/private-gpt]
uniteai - Your AI Stack in Your Editor
llama_index - LlamaIndex is a data framework for your LLM applications
terraform-aws-lambd
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
GPTQ-for-LLaMa - 4 bits quantization of LLaMa using GPTQ
local_llama - This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies.
chatdocs - Chat with your documents offline using AI.
h2o-llmstudio - H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/
SillyTavern - LLM Frontend for Power Users. [Moved to: https://github.com/SillyTavern/SillyTavern]