Joined June 2023
turboderp retweeted
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.
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turboderp retweeted
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 🧵
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turboderp retweeted
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
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turboderp retweeted
1000 stars on tabbyAPI. Holy crap. Huge thanks to @turboderp and everyone who contributed!
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turboderp retweeted
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.
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turboderp retweeted
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…
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New project: goody2.ai/ GOODY-2 is an AI model that's so responsible it won't give a straight answer to anything.
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🚀 TACO: a new benchmark for code generation from @BAAIBeijing with 26,443 problems. • 🤖 English questions & Python solutions • 🧠 Ideal for evaluating code generation from natural language • 📊 Train: 25,443 samples, Test: 1,000 samples • 📚 Diverse difficulty levels
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