darling
text-generation-webui
Our great sponsors
darling | text-generation-webui | |
---|---|---|
116 | 876 | |
11,029 | 36,293 | |
1.1% | - | |
8.3 | 9.9 | |
22 days ago | 1 day ago | |
Objective-C | Python | |
GNU General Public License v3.0 only | 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.
darling
- Zed is now open source
-
MacOS like WINE
There is actually a Wine-like transplier called Darling. The problem is that development is very slow because there is not as much need for MacOS programs on Linux, and there is a huge shortage of volunteers and manpower. And it has been rendered almost obsolete because Apple moved to ARM. Additionally 90% of Apple's API is closed source despite Apple claiming to champion open source.
-
RavynOS Finesse of macOS. Freedom of FreeBSD
Unfortunately not. Darling [0] is still at the point that it can only run command line applications. Only the most basic GUI applications are supported. That's still a massive accomplishment that I don't want to diminish, but it's nowhere near the point that WINE was at even quite a long time ago.
[0] https://www.darlinghq.org/
-
Darling: Run macOS Software on Linux
xcodebuild CLI to compile iOS apps without a Mac. Seems possible in theory, although there's an ongoing issue some are seeing apparently: https://github.com/darlinghq/darling/issues/488
- Whisky: Wine Supercharged with the Power of Apple's Game Porting Toolkit
- The first conformant M1 GPU driver
- Darling – macOS Emulation Layer for Linux
-
Building a Custom Mach-O Memory Loader for macOS
I wonder if there's opportunity for overlap with darling (https://www.darlinghq.org/) here, somewhat like using WINE on top of actual Windows.
-
Darling: The Wine of MacOS!
Hi guys, just wanted to make a quick shoutout to Darling since not a lot people seem to know about it, which is a compatibility layer like Wine for Linux, but it allows for MacOS applications instead of Windows apps to be able to run on Linux!
text-generation-webui
-
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.
-
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:
-
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
-
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.
-
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...
-
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...
-
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
-
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.
-
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?
macOS-Simple-KVM - Tools to set up a quick macOS VM in QEMU, accelerated by KVM.
KoboldAI
ravynos - A BSD-based OS project that aims to provide source and binary compatibility with macOS® and a similar user experience.
llama.cpp - LLM inference in C/C++
Lenovo-Thinkpad-T450-T450s-Hackintosh-Guide-Opencore - This repo contains the installation guide and EFI files required to get a perfectly functional Catalina and Big Sur hackintosh on your Brodwell (5th gen) T450 or T450s. Everything is stable and functional as described in the Readme.
gpt4all - gpt4all: run open-source LLMs anywhere
macos-virtualbox - Push-button installer of macOS Catalina, Mojave, and High Sierra guests in Virtualbox on x86 CPUs for Windows, Linux, and macOS
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
nonguix - Nonguix mirror – pull requests ignored, please use upstream for that
KoboldAI-Client
cctools-port - Apple cctools port for Linux and *BSD
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.