keepandroidopen.org/cta/
The *only* reason I have been using Android for the last 8 years is the fact that I have control of my device, I can hack on it and write software for it and sideload it without begging anyone for the privilege. As soon as Google's "Close Android" initiative goes into effect, I will buy an iPhone and I won't develop on Android again.
@Google - Don't do this. Turn around. Cancel. Change your mind. Realize that you just made a stupid mistake after one too many beers, and you didn't actually mean it. And you are sorry for the confusion and chaos. Then this will just be a bad memory that fades away - instead of the permanent destruction you are about to inflict to your own platform, and millions of customers. And the major boon you are about to hand to Apple.
1/n I topped the HuggingFace Open LLM Leaderboard without changing a single weight.
No training. No merging. No gradient descent.
I duplicated 7 middle layers of Qwen2-72B and stitched it back together.
This is the story of LLM Neuroanatomy 🧵
We just added Tensor Parallelism to TabbyAPI!
Huge thanks to @turboderp_ and testers who made this possible.
Now, enjoy the clip diving into the origins of Exllama.
Wanna see TabbyAPI built live? Follow me on twitch: kingbri1st
TabbyAPI now supports ExllamaV3 with automatic backend detection! 🎉
Please note that exl3 is being actively worked on and mileage may vary compared to exl2
Thanks to @turboderp_ and all contributors for making this a reality.
Seems to still be true that larger models are less sensitive to quantization. Here is Mistral-Large 123B at 1.4 bits per weight, running on one 24 GB GPU. #AI or something
Supply chain alert!
Don't use the comfyUI Impact pack! Its dependency ultralytics has been compromised on pypi.
Thanks Shinon for letting me know in Discord.
github.com/ultralytics/ultra…
TabbyAPI now supports vision.
Thanks to @turboderp_ for exllamav2's updates and DocShotgun for the initial work.
Any Exl2 supported vision model works, but this release focuses on Pixtral from @MistralAI
1 year ago, I made TabbyAPI with @turboderp_ as a side project.
Now, it's my most popular side project.
I wanted to break away from the bloated nature of AIO local model backends and just run #exllama.
Thanks to all the contributors and testers.
github.com/theroyallab/tabby…
I performed a successful vocabulary transplant on Qwen2-0.5B and turned it into a useful draft model for Llama-3. What a time to be alive. #hashtaghuggingface.co/turboderp/Qwa…