VQV Signal

PRODUCT UPDATE WATCH TECHNICAL

Running a big DeepSeek model at home on 64 GB of RAM

@tvytlx explained (in Chinese) how Unsloth's new dynamic quantization of DeepSeek-V4.1-Flash, a 748B-parameter MIT-licensed model whose 1-bit file is still 233 GB, runs on a 64 GB home PC: about 110 GB of it is a static n-gram lookup table that can be...

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-31T14:00:00+00:00 Detected 2026-10-31T21:35:44+00:00
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@tvytlx explained (in Chinese) how Unsloth's new dynamic quantization of DeepSeek-V4.1-Flash, a 748B-parameter MIT-licensed model whose 1-bit file is still 233 GB, runs on a 64 GB home PC: about 110 GB of it is a static n-gram lookup table that can be...

@tvytlx explained (in Chinese) how Unsloth's new dynamic quantization of DeepSeek-V4.1-Flash, a 748B-parameter MIT-licensed model whose 1-bit file is still 233 GB, runs on a 64 GB home PC: about 110 GB of it is a static n-gram lookup table that can be memory-mapped from the SSD instead of loaded into RAM. On cost,...

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Signal Strength 78% Technical label WATCH Public Interest 32 Category PRODUCT UPDATE Reader Depth TECHNICAL

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Public Interest components
Recognizable Entity Score 0 Practical Impact Score 20 Novelty Interest Score 94 Consequence Score 26 Curiosity Score 0 Shareability Score 49

VQV surfaced this signal because it is recent, relevant to LLM Inference, connected to Scobleizer News Pulse (X).