SiLQ fine-tunes 8B-parameter LLMs with quantized weights, activations, and cache for a small fraction of extra training tokens, matching or beating leading post-training quantization methods.
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SiLQ: Simple Large Language Model Quantization-Aware Training
SiLQ fine-tunes 8B-parameter LLMs with quantized weights, activations, and cache for a small fraction of extra training tokens, matching or beating leading post-training quantization methods.