#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
#FTM/USDT analysis :
#FTM is currently in a bullish trend, characterized by higher highs and higher lows, with consistent support along the trendline. The price is expected to rebound from its current level and test previous highs. A breakout above the $0.8800 level would present an optimal entry point for further upward movement.
TF : 1D
Entry : $0.8800
Target : $1.4000
SL : $0.6550
#FTM/USDT analysis :
#FTM is currently consolidating sideways within the support and resistance zone. The price is bouncing back from the support zone and is anticipated to sustain its momentum and test the previous swing high within the resistance zone.
TF : 30min
Entry : $0.4193
Target : $0.4314
SL : $0.4127
#FTM +%70 🤑🤑
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