Delta Blender
2.9K posts
Delta Blender retweetledi
Most people will ignore this.
The ones who don’t usually are able to take advantage the most 👀
• signup bonus + VIP perks
• extra trial funds once you start trading
• stacked rewards for active users
If you’re already trading, this is a no-brainer with @Toobit_official
👇 Don’t miss it
🟨 Trade on Toobit — toobit.com/t/ELITES
NO KYC - Earn 20% Deposit Reward + FREE VIP 1
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Delta Blender retweetledi
Elites <> @LuckysBet
$50 for every member who signs up using the link below.
Over $60,000 out to the community.
More below: 👇
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Kill. Earn. Level-up.
Play the pre-Alpha mid-February
Loyalty program live now: loyalty.eden.game
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Delta Blender retweetledi
Delta Blender retweetledi
@intodotspace @Morningstar_VC @ArcticOperators @echodotxyz @curated_hq @impossible_ @solana lets go im in with my buddies @MarketElites
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Delta Blender retweetledi
Delta Blender retweetledi
Great to see projects like Tether Data’s QVAC-fabric-llm push true on-device LLM fine-tuning across mobile GPUs.
It's a big step forward, and perfectly aligned with Acurast’s vision of decentralized smartphone confidential compute.
QVAC@qvac
EDGE/ON-DEVICE AI INFERENCE AND FINE-TUNING IS HERE. Tether Data just released QVAC Fabric LLM, and it creates a new foundation for how AI is built and deployed. It is the world's first Edge-First Inference Runtime & Fine-Tuning Framework. Here’s the simple breakdown:👇 The Old Way: To run AI models (Inference), you needed the cloud and pay a subscription. To evolve and customize AI (Fine-Tuning), you needed expensive clusters. • It was centralized. • It was reserved to the elite. • Your data had to leave your device. The QVAC Fabric Way: We built a unified, cross-platform system to EXECUTE (INFERENCE) and PERSONALIZE (FINE-TUNE) models on the hardware you already own. • Laptops (Windows, Mac, Linux)? Yes. • Consumer GPUs? Yes. • iOS & ANDROID SMARTPHONES? YES. How we did it (The Geeky Part): We extended the llama.cpp engine to add more function instrumentation, generalized support for new models and introducing state-of-the-art, highly extensible LoRA fine-tuning capabilities. We made it cross-platform and vendor-agnostic. It’s highly efficient, meaning it doesn't need a nuclear reactor to run—just your device battery. Why is this a big deal? For Developers: You don’t need a massive budget or a cloud provider to build custom AI anymore. You can build, test, and fine-tune models like Llama 3 or Gemma 3 directly on your MacBook, Linux rig, Windows desktop or even your mobile device. It’s open-source and uses llama.cpp, so it’s super lightweight. For Regular People: Imagine an AI assistant that actually learns from you—your notes, your style, your preferences—but none of that data ever leaves your phone. It lives locally but can scale infinitely. It learns locally. It can work offline. It’s truly your AI, not a corporate rental. The only solution that can truly serve anyone, including the billions of people that can’t afford big-tech expensive subscriptions. The TL;DR: We moved the entire AI lifecycle—execution and evolution—from the cloud to people’s devices. No vendor lock-in. No spying. Just pure, ubiquitous intelligence. Open Source.Multi-platform binaries. Ready today. QVAC - Your Device. Your AI 🔗 Read the QVAC Fabric-LLM Tech Overview & Get the Code: huggingface.co/blog/qvac/fabr… hashtag#QVAC hashtag#LocalAI hashtag#Llama
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Delta Blender retweetledi
Our @echodotxyz round closed with a record-breaking 1,360% oversubscription.
Welcome to the beginning.
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