Multiverse Computing’s 4-Bit Healing Beats Full-Precision Model
Multiverse Computing published a technique on August 25, 2026 that inverts one of the most reliable tradeoffs in model deployment: a large language model compressed to half its parameters and quantized to 4 bits that scores higher than the full-precision checkpoint it was built from. The method, called Quantization-Aware Healing (QAH), is detailed in a company blog post and a companion paper, and was applied to OpenAI's GPT-OSS 120B compressed down to 60B parameters and quantized to MXFP4. The… [...]
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