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Qwen3.8-Flash-Next-Q8_0-Strata

Qwen's original Qwen3.8-Flash-Next with **every routed expert in Q8_0**, rounded from the BF16 checkpoint, packed for Strata NVFP4. It is the fork's accuracy reference: the other models' accuracy below is measured against it. It needs a PC with **128 GB of RAM**, and it decodes at about a quarter of the NVFP4 GPTQ model's speed. **Quick start (Windows):** from the Strata NVFP4 release 0.1.42-nvfp4.2 or newer, run `START-HERE.bat --family qwen-q8`: it checks the PC, downloads this repository (only its experts if `qwen-nvfp4-gptq` is installed: the other files are the same) and starts the model. Strata NVFP4 0.1.42-nvfp4.1 on an RTX 5090 (32 GB), Ryzen 9 9950X3D, 128 GB of DDR5-5600, the arguments under Run it.

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Qwen's original Qwen3.8-Flash-Next with **every routed expert in Q8_0**, rounded from the BF16 checkpoint, packed for Strata NVFP4. It is the fork's accuracy reference: the other models' accuracy below is measured against it. It needs a PC with **128 GB of RAM**, and it decodes at about a quarter of the NVFP4 GPTQ model's speed. **Quick start (Windows):** from the Strata NVFP4 release 0.1.42-nvfp4.2 or newer, run `START-HERE.bat --family qwen-q8`: it checks the PC, downloads this repository (only its experts if `qwen-nvfp4-gptq` is installed: the other files are the same) and starts the model. Strata NVFP4 0.1.42-nvfp4.1 on an RTX 5090 (32 GB), Ryzen 9 9950X3D, 128 GB of DDR5-5600, the arguments under Run it.

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