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AI Models 84759

• prot_albert↗

  Rostlab

• sarvam-m-q8-gguf↗

  sarvamai

• UniAR-SFT↗

  ShareLab-SII

• Chroma1-Base-GGUF↗

  silveroxides

• GRaPE-2.5-Helios-GGUF↗

  SL-AI

• sdxs-512-dreamshaper-ExecuTorch↗

  software-mansion

• music_moods_classification↗

  StanislavKo28

  Music mood classification is a fundamental and versatile application in many various domains. Some possible use cases for music mood classification include: - music recommendation systems; - content organization and discovery; - radio broadcasting and programming; - music licensing and copyright management; - music analysis and research; - content tagging and metadata enrichment; - audio identification and copyright protection; - music production and creativity; - healthcare and therapy; - entertainment and gaming. The model is trained based on publicly available dataset of labeled music data — HWNAS Dataset — that contains 6930 sample 30-second audio files evenly split among 14 moods:

• Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit-Q4_K_M-GGUF↗

  straino

• Vectorite-Pro-4B↗

  Sup2Doggie

• Mach-2-Additive-Medium-GGUF↗

  SyzygyResearch