#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
#MTL/USDT analysis :
#MTL is in an uptrend, consistently making new highs while finding support above the 200 EMA. After liquidating long positions, the price has reclaimed the 200 EMA and is now moving upward. It is expected that the price will maintain its bullish momentum and test higher levels.
TF : 15min
Entry : $1.529
Target : $1.589
SL : $1.488
#MTL/USDT analysis :
#MTL is currently in a downtrend, trading below the 200EMA. The price is consolidating sideways within a correction phase. It is expected that the bearish momentum will continue soon, potentially testing newer lows. For a short entry, wait for a pullback and retest of the zone.
TF : 1D
Entry : $1.047
Target : $0.765
SL : $1.223
#MTL/USDT analysis :
#MTL is presently consolidating above the support zone and the 200 EMA. It is expected to maintain its bullish momentum and retest the previous swing high.
TF : 2H
Entry : $0.977
Target : $1.035
SL : $0.938