DeepSeek-V4-Flash-0731 on 64GB Macs

<!-- SC_OFF --><div class="md"><p>DeepSeek-V4.1-Flash's prompt state is only 0.9 KB/token, so you can split it at layer 20 across CUDA/Metal. All you need is 1/10GbE network.

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x8qvaj/muse_spark_on_m3u_256_gb/"> <img alt="Muse Spark on M3U 256 GB"

<!-- SC_OFF --><div class="md"><p>What inference engine and command flags do you use to optimize performance with deepseep v4 flash 0731? I’m planning on running the lossless

<!-- SC_OFF --><div class="md"><p>So i recently updated LMstudio after a long pause and updated my llama.cpp runtimes too.. i was shocked.. i thought maybe something like

<!-- SC_OFF --><div class="md"><p>Every output token the model generates requires reading the entire KV cache from High Bandwidth Memory.</p> <p>Here's what that actually looks

<!-- SC_OFF --><div class="md"><p>I am currently on an m3 mbp with 24gb ram. For regular python and django work the machine is perfect and i have no need to upgrade for speed. but

<!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/collections/deepseek-ai/deepseek-v4">https://huggingface.co/collections/deepseek-ai/deepseek-v4</a></p>

<!-- SC_OFF --><div class="md"><p>Few days ago I posted about my <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t94ito/i_have_deepseek_v4_pro_at_home/">DeepSeek V4 Pro</a>