local_llama
mychatGPT
local_llama | mychatGPT | |
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10 | 10 | |
179 | 123 | |
- | - | |
6.6 | 8.1 | |
10 days ago | 17 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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local_llama
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Discussion: Biggest Roadblocks to Deploy LLMs to Production
I work with AWS daily, terraform, Python and java creating and maintaining enterprise solutions. I have played with sagemaker but it is so expensive I hate to leave it up for longer than a day. I downloaded and created a chat with your docs (entirely in airplane mode) here point being that I’ve hosted models both locally and in the cloud. But just ended up sticking to API calls as it’s so cheap
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You can now chat with your documents privately!
I posted the speed of mine in the readme https://github.com/jlonge4/local_llama
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Textgen webui for gpt_chatwithPDF
I would like to use this tool https://github.com/jlonge4/gpt_chatwithPDF/blob/main/gpt_chat_api.py but unfortunately the local version (https://github.com/jlonge4/local_llama) is bound to the CPU and thus quiet slow. Is there any way i could get textgenwebui working with the above stated tool?
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Is there a way to ask questions about ç multiple PDF files?
This is what you want https://github.com/jlonge4/local_llama it’s fully offline with no third parties, but the setup is a bit involved
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Newbie here. Need help with choosing a llm model for pdf ingestion and summarization locally
Or try this https://github.com/jlonge4/local_llama
- Local GPT (completely offline and no OpenAI!)
- Local GPT (completely offline and no OpenAI!) [P]
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Offline llama
Code here if interested
mychatGPT
- Can I let AI read a group of information from books and what not and then let it answer questions?
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How do I ask a meta question to a document? (Retrieval augmented generation, langchain, pinecone)
Try this, just doesnt have source snippets but youll have great results. jlonge4/gpt_chatwithPDF: GPT chat with your docs! (github.com)
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Textgen webui for gpt_chatwithPDF
I would like to use this tool https://github.com/jlonge4/gpt_chatwithPDF/blob/main/gpt_chat_api.py but unfortunately the local version (https://github.com/jlonge4/local_llama) is bound to the CPU and thus quiet slow. Is there any way i could get textgenwebui working with the above stated tool?
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Ways to integrate PDF file content into my own Chatbot powered by GPT API
I just built this last week here
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Offline llama
The imports use openAI as well as openAI embeddings. Similar to my project here . This post is free from openAI use or the internet
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Help with long PDF and processing
Try this https://github.com/jlonge4/gpt_chatwithPDF I’ve used it on up to 1k page PDF no issue
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GPT->PDF chat completed!
So after much interest, especially after my video post demonstrating it, I have finally finished my GPT chat with your PDFs project and posted it on my github https://github.com/jlonge4/gpt_chatwithPDF for everyone to use! Drop a star if you enjoy it 😎
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Llama_index PDF chatbot
Check the updated project https://github.com/jlonge4/gpt_chatwithPDF
What are some alternatives?
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
pdfGPT - PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
EmbedAI - An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
zep - Zep: Long-Term Memory for AI Assistants.
privateGPT - Interact with your documents using the power of GPT, 100% privately, no data leaks [Moved to: https://github.com/zylon-ai/private-gpt]
chatdocs - Chat with your documents offline using AI.
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
llama.cpp - LLM inference in C/C++