📢 Gate Square #MBG Posting Challenge# is Live— Post for MBG Rewards!
Want a share of 1,000 MBG? Get involved now—show your insights and real participation to become an MBG promoter!
💰 20 top posts will each win 50 MBG!
How to Participate:
1️⃣ Research the MBG project
Share your in-depth views on MBG’s fundamentals, community governance, development goals, and tokenomics, etc.
2️⃣ Join and share your real experience
Take part in MBG activities (CandyDrop, Launchpool, or spot trading), and post your screenshots, earnings, or step-by-step tutorials. Content can include profits, beginner-friendl
On October 12, KLCII announced that the Aquila Aquila large language model series has been fully upgraded to Aquila2, and the 34 billion parameter Aquila2-34B has been added. It is reported that the new model performs well in inference and generalization, and has achieved a series of achievements in scenarios such as agents, code generation, and literature retrieval. At the same time, KLCII also released an open source family bucket, including the Aquila2 model series, a new version of the semantic vector model BGE, the FlagScale efficient parallel training framework, and the FlagAttention high-performance attention calculation subset. These open source projects will foster collaborative innovation in large model research.