Unsloth Enables Local Running of DeepSeek V4.1-Flash-1017
Unsloth announced that DeepSeek V4.1-Flash-1017 now supports local running; its 1-bit quantized version retains about 88.2% accuracy, with size reduced from 508GB to 250GB, a 52% decrease. This version requires a device with more than 128GB of memory, and Unsloth also provided a usage guide and GGUF files. DeepSeek previously stated that V4.1-Flash-1017 improved over the previous version in benchmark performance, task completion speed, and output length.
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Unsloth provided the accuracy retention ratio and size change after 1-bit quantization, so readers can judge the local deployment threshold accordingly.
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View original post🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4
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🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4
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DeepSeek V4.1-Flash-1017 can now run locally! 🐳
We made 1-bit retain ~88.2% accuracy while shrinking size from 508GB to 250GB (−52%).
Run on a 128GB+ RAM device.
V4.1 Flash 1017 is the strongest open model to date