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SpecQuant: Speculative Decoding with Multi-Parent Quantization for Adaptive LLM Inference
Running large language models (LLMs) locally continues to be limited by restrictions of compute and memory on consumer hardware. The popular acceleration technologies, such as quantization, speculative decoding, and adaptive inferencing, offer substantial speed boosts but usually necessitate retrain
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