Running DeepSeek V4 Flash Locally: Demystifying Quantization Naming and Precision
TheZachMueller · x · 2026-08-01
Unsloth AI announced that DeepSeek V4 Flash 0731 can now be run locally, supporting lossless 4-bit quantization on 168GB RAM and 3-bit on 110GB RAM.
Addressing community questions about quantization naming, developer danielhanchen explained that because llama.cpp lacks native FP8 support, it uses names like Q8KXL (MXFP4+BF16, 100% lossless) and Q4KXL (MXFP4+Q80, 96% same top-1%). He emphasized that FP8 is not equivalent to Q80, stating that claiming FP8 is lossless is incorrect.
Related event: Unsloth Releases Quantized DeepSeek V4 Flash 0731 for Local Deployment(6 posts)→
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