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llama.cpp v0.7.0 serves Qwen3.8-Flash-Next on 128GB Macs and DGX Spark

1 article1 sourcesince Oct 16Last article 1h ago ·

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Georgi Gerganov, creator of llama.cpp, shares a command for serving the Qwen3.8-Flash-Next GGUF model with llama.cpp v0.7.0 on 128GB Mac and DGX Spark systems.

The example uses the IQ4_NL quantization, draft-mtp speculative decoding and lazy mode, per his post on X dated October 16, 2026.

The report covers only the serving command. It does not include benchmark results, memory figures or speed measurements for these systems.

Written by AI from the articles below · updated Oct 16, 1:53 PM ET

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Latest developmentOct 16, 1:27 PM ET
llama.cpp v0.7.0 runs Qwen3.8-Flash-Next on 128GB Macs and Spark

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The articles in this story. Times are ET.

Oct 16
  1. Georgi GerganovX
    llama.cpp v0.7.0 runs Qwen3.8-Flash-Next on 128GB Macs and Spark

    AIGeorgi Gerganov shares a command to serve the Qwen3.8-Flash-Next GGUF model with llama.cpp v0.7.0 on 128GB Mac and Spark systems. The example uses the IQ4_NL quantization, draft-mtp speculative decoding, and lazy mode.

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