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## Latest News
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*01/23/2026 [5.7.0](https://github.com/ModelCloud/GPTQModel/releases/tag/v5.7.0): ✨New `MoE.Routing` config with `Bypass` and `Override` options to allow multiple brute-force MoE routing controls for higher quality quantization of MoE experts. Combined with `FailSafeStrategy`, GPT-QModel now has three separate control settings for efficient MoE expert quantization.
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*02/09/2026 [5.7.0](https://github.com/ModelCloud/GPTQModel/releases/tag/v5.7.0): ✨New `MoE.Routing` config with `Bypass` and `Override` options to allow multiple brute-force MoE routing controls for higher quality quantization of MoE experts. Combined with `FailSafeStrategy`, GPT-QModel now has three separate control settings for efficient MoE expert quantization.
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`AWQ``qcfg.zero_point` property has been merged with a unified `sym` symmetry property; `zero_point=True` is now `sym=False`.
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Fixed `AWQ``sym=True` packing/inference and quantization compatibility with some Qwen3 models.
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