<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 & Pro Now out on API"
<!-- 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/singularity/comments/1sux16b/deepseek_v4_is_out_16_trillion_parameters_mit/"> <img alt="DeepSeek V4 is out. 1.6 trillion
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s0mo33/m27_open_weights_coming_in_2_weeks/"> <img alt="M2.7 open weights coming in ~2 weeks"
<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>The benchmark sheet dropped this morning and people are losing it in the ML community.</p> <p><strong>What DeepSeek R2 scores:</strong><br />
<!-- SC_OFF --><div class="md"><p>Maybe 2.6T -2.8T params including 1-1.1 T engrams and fable 5.0 level performance?</p> <p>Maybe v4.2 or 4.5 will have engram gradient
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