self.register_buffer("weight", torch.zeros((out_features, in_features), dtype=torch.int8)) self.register_buffer("weight_scale", torch.zeros((out_features, 1), dtype ...
needed). GPTQModifier then applies distributed W8A8 quantization.
In long-context reasoning with large language models, the KV cache becomes bloated, creating a memory bottleneck. This paper focuses on how quantization errors accumulate during decoding, particularly ...
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