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[ARTICLE · art-150992] src=runtimewire.com ↗ pub= topic=large-language-models verified=true sentiment=· neutral

Multiverse Computing cuts NVIDIA's multimodal model to 61B parameters

Multiverse Computing released Comet 60B on October 15th, a compressed version of NVIDIA's Nemotron 3.5 Super VL that roughly halves the model's total parameter count while retaining text, image and video input, with downloadable weights in three formats. The company's X announcement and technical report position Comet 60B as a way to run a large multimodal system with less memory, though the accuracy and throughput comparisons remain company-reported and unverified by third parties.

by read1 min views1 publishedOct 15, 2026
Multiverse Computing cuts NVIDIA's multimodal model to 61B parameters
Image: Runtimewire (auto-discovered)

Comet 60B keeps text, image and video inputs, with downloadable weights in three formats; Multiverse's benchmark results are company-reported.

        By [Ryan Merket](https://runtimewire.com/author/ryan-merket)
        · Published 

Primary source: [Multiverse Computing on X](https://x.com/MultiverseCompu/status/2110753872150954468)

Why it matters #

Comet gives Multiverse a public test of its compression business on a prominent multimodal model. The parameter and memory reductions are specific; the accuracy and throughput evidence still comes from the vendor, so deployment results will decide whether the smaller checkpoint translates into lower real-world inference costs.

Multiverse Computing released Comet 60B on October 15th, a compressed version of NVIDIA's Nemotron 3.5 Super VL that cuts the model's total parameter count roughly in half while keeping text, image and video input. The company's X announcement and technical report describe the model as a way to run a large multimodal system with less memory; their accuracy and speed comparisons remain…

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