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AI 모델 84760

• musicgen-small↗

  facebook

  MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts. It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz. Unlike existing methods, like MusicLM, MusicGen doesn't require a self-supervised semantic representation, and it generates all 4 codebooks in one pass. By introducing a small delay between the codebooks, we show we can predict them in parallel, thus having only 50 auto-regressive steps per second of audio. MusicGen was published in Simple and Controllable Music Generation by *Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Défossez*. Four checkpoints are released: - **small** (this checkpoint) - medium - large - melody

• vc1-large-permissive↗

  facebook

• sn38-2025-01↗

  fitleech

• whisper-large-v2-taiwanese-hakka-v1↗

  formospeech

• Qwen2.5-Coder-0.5B-Instruct-GGUF↗

  gaianet

• GLM-5.3-Flash-GGUF↗

  ggml-org

• gemma-3-270m-it-gguf↗

  gguf-org

• multiberts-seed_0-step_120k↗

  Google

• indictrans2-indic-en-dist-200M-ONNX-int8↗

  hari31416

• opus-mt-fi-de↗

  Helsinki-NLP