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DeepSeek-V4-Flash-0731 performance benchmarks detailed for RTX Pro 6000 Max-Q

By PulseAugur Editorial · [1 sources] ·

A user has shared performance benchmarks for the DeepSeek-V4-Flash-0731 model running on a Bosgame M5 with an RTX Pro 6000 Max-Q eGPU. The benchmarks detail various quantization levels (UD-Q8_K_XL, UD-Q4_K_XL, UD-Q2_K_XL) and their corresponding decode and prefill speeds, as well as draft acceptance rates. The user also provided specific command-line arguments for running the model with different configurations, including the integration of a DSpark drafter ported from a closed pull request. AI

IMPACT Provides practical performance data for users running DeepSeek-V4-Flash-0731 on specific hardware configurations.

RANK_REASON User-generated performance benchmarks for an open-source model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

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

DeepSeek-V4-Flash-0731 performance benchmarks detailed for RTX Pro 6000 Max-Q

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User-generated performance benchmarks for an open-source model. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release
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High
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67 days old
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COVERAGE [1]

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

    DeepSeek-V4-Flash-0731 on Bosgame M5 with RTX PRO 6000 Max-Q eGPU

    <!-- SC_OFF --><div class="md"><p>Here are my numbers:</p> <table><thead> <tr> <th align="left">Quant</th> <th align="left">Size</th> <th align="left">Layout</th> <th align="left">Decode</th> <th align="left">Prefill</th> <th align="left">Draft acceptance</th> </tr> </thead><tbod…

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