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The process of grouping multiple short sequences into a single fixed-length block to maximize hardware throughput.
Distinct from Sequence Length Constraints: Distinct from general sequence length constraints by focusing on the packing of multiple examples into one block
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Axolotl is a distributed training orchestrator and fine-tuning framework for large language models, multimodal systems, and quantized models. It provides a structured environment for specializing pre-trained models through full parameter updates or low-rank adaptation, as well as aligning model outputs with human expectations via preference tuning pipelines and reward modeling. The system distinguishes itself through a configuration-driven pipeline that manages preprocessing and training workflows via a single file for reproducibility. It implements high-throughput optimizations such as multi
Implements multipacking to group short training examples into fixed-length blocks for maximized GPU throughput.