deepseek v4 flash on quad 3090 box?

<!-- 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>

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1su3wf7/deepseek_v4_released/"> <img alt="Deepseek V4 Released"

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1su3fle/deepseek_v4_flash_pro_now_out_on_api/"> <img alt="DeepSeek V4 Flash &amp; Pro Now out on API"

<!-- SC_OFF --><div class="md"><p>This is one more vibe slopped custom optimization for, in this case, my hardware (m2 ultra 60 cores, 192gb). It is just a fork from llama.cpp

<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>Hey 👋</p> <p>Saw the tweet making the rounds about deepseek v4 being 35x cheaper than opus on input and 178x cheaper on cached tokens, and was

<!-- SC_OFF --><div class="md"><p>Please</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a href="https://www.reddit.com/user/Comrade_United-World"> /u/Comrade_United-World </a>

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t6x2za/ds4c_deepseek_4_flash_local_inference_engine_for/"> <img alt="ds4.c - DeepSeek 4 Flash local