Unverified50% confidenceFactExact time
Ternary quantization is applied only to the encoder and not the decoder, which is one of the key reasons for the small accuracy loss.
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50%
Confidence
Long-term
Relevance
10/6/2026
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Related Claims
UnverifiedA reasonable prediction loss combined with 0% downstream control accuracy is highly consistent with representation collapse, meaning the encoder has fooled the self-supervised objective without learning any useful dynamic information.74% similarUnverified4-bit quantization introduces some accuracy loss, but in many practical tasks its performance is very close to that of the original model.72% similarUnverifiedMainstream quantization schemes typically cause only a 1–3% performance loss at 4-bit quantization precision, but performance degradation becomes significantly more pronounced at 2-bit quantization.70% similarVerified量化会不可避免地引入精度损失，在逻辑推理等对准确性敏感的任务上可能出现性能下降70% similarUnverifiedQuantization below Q4 (such as Q3 or Q2) causes excessive loss of weight information on coding tasks, leading to a sharp decline in output quality.69% similar
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