ovos-core
text-generation-webui
ovos-core | text-generation-webui | |
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13 | 876 | |
103 | 36,552 | |
1.9% | - | |
9.1 | 9.9 | |
2 days ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
ovos-core
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Is Mycroft still worth it?
Check out OVOS.
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Home Assistant’s Year of the Voice – Chapter 2
I used to work for Mycroft, so I'm hoping to eventually create an image that's compatible with Home Assistant pipelines.
For now, though, you may want to check out OVOS: https://openvoiceos.com/
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?largest capacity DDR3L (1.35v) SODIMM
Blast you're so right! I already ordered an M92, but when LLaMA takes off for voice assistants and I max out my RAM I shall have a think about that HP G2!! With one of those maybe I could have enough RAM to run openbsd and have several VMs running on it! Thank you :D
- I've been working on Serge, a self-hosted alternative to ChatGPT. It's dockerized, easy to setup and it runs the models 100% locally. No remote API needed.
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Proof of existence
The upper NUC is running a manual install of ovos-core with sound output through the 22" touchscreen monitor and a kinect V1 as a microphone.
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OVOS - Persona Initiative
Good news, everyone! As those of you who are following OpenVoiceOS GoFundMe campaign may already have spotted, we've surpassed our most recent fundraising target, and set a new one. Our current stretch goal is a doozy. We're looking to give the Assistant a personality! More specifically, a configurable personality, to make your Assistant that much more... yours.
- ovos-core 0.0.7 was just released!
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OVOS migration with docker containers ...
However it did not work for me out-of-the-box. I had to create some custom Dockerfiles to make adjustments to some of the images before all of them would start up correctly. i got around the Rapidfuzz issue you ran I to using the fix described here: https://github.com/OpenVoiceOS/ovos-core/issues/267
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I would like a voice assistant for Home Assistant. What are my options ?
OVOS : There's a Dockerfile in the core repo that you should be able to use to make a Docker image for headless OVOS-Mycroft. You'd probably still have to set up the personal backend for it - not sure as I haven't set it up yet. This is likely the voice assistant replacement route that I'm going with, when there is time to do it.
- OpenVoiceOS website
text-generation-webui
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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.
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Ollama Python and JavaScript Libraries
Same question here. Ollama is fantastic as it makes it very easy to run models locally, But if you already have a lot of code that processes OpenAI API responses (with retry, streaming, async, caching etc), it would be nice to be able to simply switch the API client to Ollama, without having to have a whole other branch of code that handles Alama API responses. One way to do an easy switch is using the litellm library as a go-between but it’s not ideal (and I also recently found issues with their chat formatting for mistral models).
For an OpenAI compatible API my current favorite method is to spin up models using oobabooga TGW. Your OpenAI API code then works seamlessly by simply switching out the api_base to the ooba endpoint. Regarding chat formatting, even ooba’s Mistral formatting has issues[1] so I am doing my own in Langroid using HuggingFace tokenizer.apply_chat_template [2]
[1] https://github.com/oobabooga/text-generation-webui/issues/53...
[2] https://github.com/langroid/langroid/blob/main/langroid/lang...
Related question - I assume ollama auto detects and applies the right chat formatting template for a model?
What are some alternatives?
docker-mycroft - Mycroft AI Voice Assistant Docker images and docker-compose.yml files for x86_64, arm7vl and aarch64 CPU architectures.
KoboldAI - KoboldAI is generative AI software optimized for fictional use, but capable of much more!
mycroft-core - Mycroft Core, the Mycroft Artificial Intelligence platform.
llama.cpp - LLM inference in C/C++
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
gpt4all - gpt4all: run open-source LLMs anywhere
coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
ovos-solver-plugin-llmcpp
KoboldAI-Client
dalai - The simplest way to run LLaMA on your local machine
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.