Top Tweets for #quantizationawaretraining
Boost AI performance with Quantization-Aware Training in PyTorch—optimize models for speed, size, and edge deployment without losing accuracy. A smarter way to scale AI solutions!
#QuantizationAwareTraining #PyTorch #ModelOptimization #EdgeAI #DeepLearning #HattussaITSolutions
🚀 New model alert! Introducing "gemma-3-12b-it-qat" with Quantization Aware Training (QAT) and GGUF format for reduced memory usage. Get it with local-ai run gemma-3-12b-it-qat #LocalAI #NLP #QuantizationAwareTraining
Boost your model's performance with #QuantizationAwareTraining ⚡
Fine-tune Llama3-8B on C4 dataset with QAT using W4A8 quantization, reducing accuracy degradation by up to 96% compared to PTQ!
Try it now with just a few lines of code in #torchao: https://t.co/7pn2GcrJwN
#QuantizationAwareTraining (#QAT) #API will enable you to train and deploy machine learning models with the performance and size benefits of quantization. The QAT API provides a simple and highly flexible way to quantize your #TensorFlow Keras model.
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