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Awesome GitHub RepositoriesDistributed Quantization Processing
Quantization workloads distributed across multiple processors using data-parallel processing to accelerate large model compression.
Distinct from Model Quantization: None of the candidates capture the distributed, data-parallel nature of the quantization process.
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Awesome Distributed Quantization Processing GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- vllm-project/llm-compressor
vllm-project/llm-compressor
2,764Vezi pe GitHubllm-compressor is a quantization toolkit and post-training library designed to reduce the memory footprint and size of large language models. It provides a framework for compressing models using weight and activation quantization to enable more efficient deployment. The project distinguishes itself through a distributed quantization framework that utilizes data-parallel processing and disk-based weight offloading to handle massive model checkpoints that exceed available system memory. It includes specialized compressors for diverse architectures, including Mixture-of-Experts, Vision-Language,
Uses distributed data parallel processing to accelerate the quantization of massive models.
Pythoncompressionquantizationsparsity
