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OPEN SOURCE WATCH TECHNICAL

ACE Music says it will open-source weights for its top-ranked music model in coming weeks

According to a post on X by @acemusicAI, ACE Music says it will release the model weights for ACE Music v1 in the next few weeks so people can run it locally. The company thanked Artificial Analysis for ranking ACE Music v1 ahead of Suno's latest release, and said an even more powerful model is on the way. Separately, ACE engineer Gong Junmin says he is working on a new open-source music model that is faster and better than Yue2 and acestep 1.5 XL. The post describes both as announcements and does not give release dates for the new model.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-12T20:50:00+00:00 Detected 2026-11-13T18:20:11+00:00
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According to a post on X by @acemusicAI, ACE Music says it will release the model weights for ACE Music v1 in the next few weeks so people can run it locally. The company thanked Artificial Analysis for ranking ACE Music v1 ahead of Suno's latest release, and said an even more powerful model is on the way. Separately, ACE engineer Gong Junmin says he is working on a new open-source music model that is faster and better than Yue2 and acestep 1.5 XL. The post describes both as announcements and does not give release dates for the new model.

AI-assisted summary based on the listed source.

Thanking Artificial Analysis for ranking ACE Music v1 ahead of Suno's latest release, ACE Music says it will open-source the model weights in the next few weeks so people can run it locally, and that an even more powerful model is on the way. Separately, ACE engineer Gong Junmin says he is working on a new...

Developers and researchers who want to run music generation models on their own hardware could gain access to ACE Music v1 once the weights are released. The plans also suggest more open music model releases from ACE, though the performance claims are the company's own. Watch for the actual weight release and any independent benchmark results.

Signal Strength 91% Technical label WATCH Public Interest 36 Category OPEN SOURCE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 46 Novelty Interest Score 94 Consequence Score 18 Curiosity Score 0 Shareability Score 53

VQV surfaced this signal because it is recent, relevant to Open Source LLMs, connected to Scobleizer News Pulse (X).