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Ant Ling's Ming-3.0 speech models get day-0 vLLM-Omni support

官方账号vLLM@vllm_project
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Day-0 inference support means developers can productionise open speech models immediately instead of waiting on community adapters, cutting integration work for voice pipelines. Teams building ASR, TTS or audio-understanding agents can compare Ming-3.0's MoE sizing against closed APIs and self-host at lower cost. The 0.5B to 126B-A6.5B spread also gives Southeast Asian startups an on-premise option for multilingual voice work.

Ant Ling AGI open-sourced five speech models under the Ming-3.0 family on an unspecified date, spanning TTS, audio understanding and ASR. All models use a Mixture-of-Experts architecture, ranging from 0.5B to 126B-A6.5B parameters. The vLLM project announced day-0 support for serving the models through vLLM-Omni, its serving stack. Developers can deploy the models with vLLM-Omni starting today.

Original · vLLM

Day-0 support for Ming-3.0 in vLLM-Omni

@AntLingAGI just open-sourced 5 speech models across TTS, audio understanding, and ASR — all MoE, from 0.5B to 126B-A6.5B.

Serve them today with vLLM-Omni. Congrats to the @AntLingAGI team!

#Ming-3.0#Ant Ling AGI#vLLM-Omni#speech models#open-source models

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