Unsloth details running DeepSeek-V4.1-Flash locally: 1-bit GGUF fits 128GB RAM with 1M context

gnukeith · x · 2026-10-27

Unsloth published a local-run guide for DeepSeek-V4.1-Flash-1017, calling it the strongest open model for coding and agentic tasks, alongside the launch of Unsloth Desktop.

• The model pairs a 552B MoE backbone with 196B Engram conditional-memory parameters and 1M context; the Engram n-gram tables (110.6–202.8GB) can stay on SSD via mmap to save RAM/VRAM
• Unsloth + llama.cpp claims 3x faster inference than other CPU/VRAM/ngram repos
• The 250.4GB 1-bit UD-IQ1M quant (88.2% top-1 agreement with the original) runs on 128GB RAM setups like a MacBook or DGX Spark; UD-IQ3XXS needs 256GB; lossless UD-Q8KXL is 508.4GB
• The poster asks what Unsloth's 'recommended' spec means — can 308GB RAM handle 1M context comfortably?

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