h2ogpt
Nuggt
h2ogpt | Nuggt | |
---|---|---|
28 | 10 | |
10,458 | 338 | |
2.4% | 0.6% | |
10.0 | 8.0 | |
2 days ago | 7 months ago | |
Python | Python | |
Apache License 2.0 | Creative Commons Zero v1.0 Universal |
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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
Nuggt
- What's the closest thing we have to GPT4's code interpreter right now?
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My experience on starting with fine tuning LLMs with custom data
Yes, there is a lot of potential. You can check this project for agents: https://github.com/Nuggt-dev/Nuggt/ . Currently I only have "simple" projects: mostly 0-shots LLMs to get some responses. Agents are not yet mature enough to be integrated in production environments.
- Show HN: An Autonomous Agent That Runs on Open Source Local LLMs
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[P] Nuggt: A LLM Agent that runs on Wizcoder-15B (4-bit Quantised). It's time to democratise LLM Agents
Check out the Github Repository
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OpenAI: We are disabling the Browse plugin
Things are changing every day. Take a look here: https://github.com/Nuggt-dev/Nuggt This is AutoGPT equivalent using a self hosted model. See what it can do.
- “Autonomous Agents” or “Directed Agents”? What Are the Pros and Cons?
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15-Jun-2023
Automate any task with a single AI Command (https://github.com/Nuggt-dev/Nuggt)
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Github Project: Automate any task with a single AI Command.
Demo Video: https://github-production-user-asset-6210df.s3.amazonaws.com/52075633/244840595-00e7c82c-61fe-4f04-b589-d65b97f441ff.mp4 🔎 Call for Feedback: We invite the community to try out Nuggt and provide valuable feedback. Let us know your thoughts, suggestions, and any improvements you'd like to see. Your feedback will help us shape the future of Nuggt and make it even better. 🔗 Find Nuggt on GitHub (We are looking for collaborators): https://github.com/Nuggt-dev/Nuggt 🌟 Join the Nuggt Discord Server: https://discord.gg/gzdCDM84 💡 Follow our 30 Days 30 Tasks with Nuggt challenge on Twitter: https://twitter.com/OfficialNuggt PS: While our current implementation leverages the power of GPT-3.5, we recognise the need for cost-effective solutions without compromising functionality. Our ongoing efforts involve exploring and harnessing the potential of smaller models like Vicuna 13B, ensuring that task automation remains accessible to a wider audience.
🔗 Find Nuggt on GitHub (We are looking for collaborators): https://github.com/Nuggt-dev/Nuggt
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[P] Automate any task with a single AI command (Open Source)
🌟 Join the Nuggt Community: Get involved, contribute, and join the discussions on our GitHub repository. We're building a vibrant community, and we'd love to have you on board!
What are some alternatives?
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
simple-proxy-for-tavern
privateGPT - Interact with your documents using the power of GPT, 100% privately, no data leaks [Moved to: https://github.com/zylon-ai/private-gpt]
lit-gpt - Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed. [Moved to: https://github.com/Lightning-AI/litgpt]
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.
instructor-embedding - [ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
local_llama - This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies.
gpt-code-ui - An open source implementation of OpenAI's ChatGPT Code interpreter
h2o-llmstudio - H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI