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Deepseek V4 Flash achieves 1M context on DGX Spark

A user has successfully configured Deepseek V4 Flash on a DGX Spark system, achieving a maximum context window of 1 million tokens in the KV cache. Performance tests show consistent throughput across various context lengths, with a notable anomaly at 32k tokens. The user reports that Deepseek V4 Flash outperforms other models like M2.7 and Stepfun 3.7 in high-context reasoning, though it lacks the world knowledge of denser models. AI

IMPACT Demonstrates high-context capabilities and performance tuning for large models on specialized hardware.

RANK_REASON User-reported performance benchmark and configuration details for a specific model and hardware setup. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Only_Situation_4713 ·

    Deepseek V4 flash performance on DGX Spark

    <!-- SC_OFF --><div class="md"><p>Hello Reddit</p> <p>I have been trying to get Deepseek V4 on the DGX Spark for the past week. Yesterday I was finally able to get it to work thanks to the hard work from the folks at <a href="https://github.com/local-inference-lab">local-inferenc…