#python#deep_learning#inference#llm#nlp#pytorch#transformer
Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware.
https://github.com/GeeeekExplorer/nano-vllm
🚨 BREAKING: $117M in assets stolen from @Balancer in the last 2 hours after a major hack!!!
🔹 Assets stolen are across multiple chains: #Ethereum, #Base, #Optimism, #Sonic, #Polygon, #Berachain – mainly in Liquid Staking Tokens (LSTs) of $ETH.
Top 5 stolen assets:
• 7,838 $WETH (~$29.1M)
• 6,841 $OSETH (~$26.8M)
• 4,459 $WSTETH (~$20.1M)
• 2,405 $SFRXETH (~$10M)
• 2,038 $RSETH (~$8.67M)
🔹 The hacker is acting quickly: Converting LSTs into $ETH in real-time!
🔹 Big move: Whale account 0x009, dormant for 3 YEARS, just resurfaced after the exploit and withdrew $7.38M worth of assets from #Balancer!
⚠️ ALERT: If you’re still on #Balancer, secure your funds NOW before it’s too late! 🔐
Follow @spotonchain for more updates about the hack!
https://x.com/spotonchain/status/1985289043383300351