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Unsloth runs DeepSeek V4.1-Flash-1017 locally with 1-bit dynamic GGUFs

AIDaniel Han says Unsloth and llama.cpp support DeepSeek V4.1-Flash-1017 with dynamic GGUF quantizations. The engram can be swapped between MXFP8, Q6_K, Q5_K and IQ4_NL, with Q6_K roughly matching MXFP8 and IQ4_NL losing a small amount of accuracy.
Daniel HanVerified on X
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We worked on a llama.cpp impl for DS4.1-Flash + made Unsloth dynamic GGUFs for it!

The engram / PLE can be swapped out from MXFP8 to Q6_K to Q5_K and IQ4_NL precision - we found Q6_K approx = MXFP8 and IQ4_NL loses a tiny bit of accuracy.

The engram can stream fully from disk!

Unsloth AI@UnslothAI
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 Guide: https://unsloth.ai/docs/models/deepseek-v4.1-flash GGUF: https://huggingface.co/unsloth/DeepSeek-V4.1-Flash-1017-GGUF
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Daniel Han · x.comPublished

Original title: We worked on a llama.cpp impl for DS4.1-Flash + made Unsloth dynamic GGUFs for it!