#python#large_language_models#machine_learning_systems#natural_language_processing
Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable.
https://github.com/fla-org/flash-linear-attention
A newly created wallet withdrew 139,557 $HYPE worth $5.49M from #Gate. Address: 0xee0a18b394ece1d7be81be15d6cec3ac7707b71c https://x.com/OnchainLens/status/2034936951275757877 Follow @onchainlens for more onchain updates
A newly created wallet withdrew 139,557 $HYPE worth $5.49M from #Gate.
Address: 0xee0a18b394ece1d7be81be15d6cec3ac7707b71c
https://x.com/OnchainLens/status/2034936951275757877
Follow @onchainlens for more onchain updates
After being dormant for 8 months, a whale deposited 2,11,343 $TRUMP worth $847.4K into #Gate, losing $1.28M.
The whale initially withdrew these $TRUMP for $2.13M from #Gate.
The whale also holds 18,787 $SOL ($1.66M), losing $1.62M.
Address - 7HqAk2h4cJZqyKdbzKEqm4JeWBnKMitVrwFMoEgqE93D
https://x.com/OnchainLens/status/2033095024649601045
Follow @onchainlens for more onchain updates
Wallet 0x011 (likely @ambergroup_io) withdrew 3M $SAFE ($6.72M) from #Gate.io at $2.25 for the first time 6 hours ago.
Notably, the $SAFE price has dropped ~36% since it became transferrable on April 23, 2024. Was this a good entry? 🤔
Follow @spotonchain and set alerts for Amber Group now via https://platform.spotonchain.ai/en/entity/80