TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15263 · Nov 2

#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

Results

1 similar post found

Search: #stablecoinresponsibilities

当前筛选 #stablecoinresponsibilities清除筛选
Crypto M - Crypto News

@CryptoM · Post #64665 · 04/09/2026, 01:15 PM

🚀 Gibbs Mura Investigates Drift Protocol Theft in Class Action Gibbs Mura, a U.S. law firm, has announced a class action investigation into the theft involving Drift Protocol, with the funds involved estimated between $280 million and $285 million. According to ChainCatcher, over $230 million in USDC was transferred to Ethereum via Circle's Cross-Chain Transfer Protocol (CCTP). Gibbs Mura argues that although Circle has the technical capability to freeze funds, it did not take such action during the attack. The firm is currently assessing whether investors can claim against Circle for 'failure to intervene timely,' 'insufficient monitoring,' and 'not fulfilling stablecoin responsibilities.' Affected users are encouraged to join the lawsuit to aid in the recovery of funds. #GibbsMura#DriftProtocol#ClassAction#TheftInvestigation#USDC#Ethereum#Circle#CrossChainTransfer#StablecoinResponsibilities#FundsRecovery