chatdocs
text-generation-webui
chatdocs | text-generation-webui | |
---|---|---|
11 | 877 | |
661 | 37,551 | |
- | - | |
6.9 | 9.9 | |
9 months ago | 7 days ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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chatdocs
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Local LLMs GPUs
https://github.com/marella/chatdocs , this one, right? Takes close to a minute to answer
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Struggling with Local LLMs
https://github.com/marella/chatdocs , this one.
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Best commercially viable method to ask questions against a set of 30~ PDFs?
See here: https://github.com/marella/chatdocs#configuration (chatdocs.yml file, context_length)
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Document digest & oobabooga
What about chatdocs? I asked about it here and the author seems to be open to the idea.
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What is the best way to create a knowledge-base specific LLM chatbot ?
https://github.com/marella/chatdocs is a fork from privateGPT but with many added features, GPU support, chat UI. There is a reddit thread about it https://www.reddit.com/r/LocalLLaMA/comments/14174f4/chatdocs_privategpt_web_ui_gpu_support_more/
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Need help finding local LLM
and: https://github.com/marella/chatdocs
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Chatdocs with mixed language source documents
i played a bit around with chatdocs (https://github.com/marella/chatdocs) but unfortunately are my source documents mixed languages, german and english to be specific. The result heavily depends on the language the questions is asked in, which totally makes sense to me.
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Creating an Org Knowledge Management System
https://github.com/PromtEngineer/localGPT or https://github.com/marella/chatdocs
- FLaNK Stack Weekly for 12 June 2023
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You can now chat with your documents privately!
Sounds like a great project and I really like the YouTube tutorials. I haven't been able to get it to work inside WSL. I tried another project here with UI and it works https://github.com/marella/chatdocs
text-generation-webui
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Take control! Run ChatGPT and Github Copilot yourself!
What I described here is most optimal workflow I found to be working for me. There are multiple ways to run open source models locally worth mentioning like Oobabooga WebUI or LM Studio, however I didn't found them to be so seamless, and fit my workflow.
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Ask HN: What is the current (Apr. 2024) gold standard of running an LLM locally?
Some of the tools offer a path to doing tool use (fetching URLs and doing things with them) or RAG (searching your documents). I think Oobabooga https://github.com/oobabooga/text-generation-webui offers the latter through plugins.
Our tool, https://github.com/transformerlab/transformerlab-app also supports the latter (document search) using local llms.
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Ask HN: How to get started with local language models?
You can use webui https://github.com/oobabooga/text-generation-webui
Once you get a version up and running I make a copy before I update it as several times updates have broken my working version and caused headaches.
a decent explanation of parameters outside of reading archive papers: https://github.com/oobabooga/text-generation-webui/wiki/03-%...
a news ai website:
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text-generation-webui VS LibreChat - a user suggested alternative
2 projects | 29 Feb 2024
- Show HN: I made an app to use local AI as daily driver
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Ask HN: People who switched from GPT to their own models. How was it?
The other answers are recommending paths which give you #1. less control and #2. projects with smaller eco-systems.
If you want a truly general purpose front-end for LLMs, the only good solution right now is oobabooga: https://github.com/oobabooga/text-generation-webui
All other alternatives have only small fractions of the features that oobabooga supports. All other alternatives only support a fraction of the LLM backends that oobabooga supports, etc.
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AI Girlfriend Is a Data-Harvesting Horror Show
The example waifu in text-generation-webui is good enough for me.
https://github.com/oobabooga/text-generation-webui/blob/main...
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Nvidia's Chat with RTX is a promising AI chatbot that runs locally on your PC
> Downloading text-generation-webui takes a minute, let's you use any model and get going.
What you're missing here is you're already in this area deep enough to know what ooogoababagababa text-generation-webui is. Let's back out to the "average Windows desktop user" level. Assuming they even know how to find it:
1) Go to https://github.com/oobabooga/text-generation-webui?tab=readm...
2) See a bunch of instructions opening a terminal window and running random batch/powershell scripts. Powershell, etc will likely prompt you with a scary warning. Then you start wondering who ooobabagagagaba is...
3) Assuming you get this far (many users won't even get to step 1) you're greeted with a web interface[0] FILLED to the brim with technical jargon and extremely overwhelming options just to get a model loaded, which is another mind warp because you get to try to select between a bunch of random models with no clear meaning and non-sensical/joke sounding names from someone called "TheBloke". Ok...
Let's say you somehow braved this gauntlet and get this far now you get to chat with it. Ok, what about my local documents? text-generation-webui itself has nothing for that. Repeat this process over the 10 random open source projects from a bunch of names you've never heard of in an attempt to accomplish that.
This is "I saw this thing from Nvidia explode all over media, twitter, youtube, etc. I downloaded it from Nvidia, double-clicked, pointed it at a folder with documents, and it works".
That's the difference and it's very significant.
[0] - https://raw.githubusercontent.com/oobabooga/screenshots/main...
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Ask HN: What are your top 3 coolest software engineering tools?
Maybe a copout answer, but setting up a local LLM on my development machine has been invaluable. I use Deep Seek Coder 6.7 [0] and Oobabooga's UI [1]. It helps me solve simple problems and find bugs, while still leaving the larger architecture decisions to me.
[0] https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instr...
[1] https://github.com/oobabooga/text-generation-webui
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Meta AI releases Code Llama 70B
You can download it and run it with [this](https://github.com/oobabooga/text-generation-webui). There's an API mode that you could leverage from your VS Code extension.
What are some alternatives?
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
KoboldAI - KoboldAI is generative AI software optimized for fictional use, but capable of much more!
Documize - Modern Confluence alternative designed for internal & external docs, built with Go + EmberJS
llama.cpp - LLM inference in C/C++
Olive - Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.
gpt4all - gpt4all: run open-source LLMs anywhere
lance - Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
roop - one-click face swap
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
documenso - The Open Source DocuSign Alternative.
KoboldAI-Client