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DeepSeek-V4 Flash achieves 1M context in llama.cpp

The DeepSeek-V4 Flash model has been optimized for use with llama.cpp, enabling a context window of up to 1 million tokens. Benchmarks indicate a prefill speed of approximately 650-700 tokens/s and a decode speed of around 17 tokens/s, with a loading time of 32 seconds. While not yet matching the performance of Qwen models, further optimizations in llama.cpp are anticipated to improve its speed. AI

IMPACT Improved performance and context window for local LLM deployments.

RANK_REASON The item discusses the optimization and performance of an existing model (DeepSeek-V4 Flash) within a specific software framework (llama.cpp), rather than a new model release or significant research breakthrough.

Read on r/LocalLLaMA →

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

DeepSeek-V4 Flash achieves 1M context in llama.cpp

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Shoddy_Bed3240 ·

    DeepSeek v4 Flash on 5090 in llama.cpp with 1 Million context

    <!-- SC_OFF --><div class="md"><p>After the recent <code>llama.cpp</code> changes, <strong>DeepSeek V4 Flash</strong> has become much more usable. I ran some benchmarks and wanted to share the results along with the config I used.</p> <p>I'm using <strong>DeepSeek-V4-Flash-UD-Q8_…