QLoRA quantizes base model to 4-bit, trains LoRA adapters in FP16
Image: Juhanson, CC BY-SA 3.0, via Wikimedia Commons
QLoRA quantizes base model to 4-bit, trains LoRA adapters in FP16
LoRA vs full fine-tuning: LoRA trains rank-r adapters (~0.1% params), full FT updates everything
LoRA trains rank-r adapters (~0.1% params), full FT updates everything
LoRA (machine learning)
LoRA uses r << d for efficient adaptation
2024 in hip-hop
LoRA rank r controls model capacity and parameters
Alex Lora Cercos
Alex Lora is a Spanish film director
XLA does for TensorFlow/JAX: compiles computation graphs for TPU/GPU execution
XLA compiles computation graphs for TPU/GPU execution
AWQ does differently
AWQ selectively retains weights crucial for model performance, unlike traditional quantization
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