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AI Models 84760

  • mlabonne_gemma-3-12b-it-abliterated-GGUF↗

    bartowski

    Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (mlabonne_gemma-3-12b-it-abliterated-Q8_0) or download them all in place (./)

  • cagliostro-v3.5↗

    bench-labs

  • Qwen3.8-27B-OrcaRouter-Uncensored-MTP-GGUF↗

    codavidgarcia

  • x-asr-zh-en-GGUF↗

    cstr

  • Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP↗

    DavidAU

  • detr-resnet-50_finetuned_cppe5↗

    devonho

  • pythia-70m-seed7↗

    EleutherAI

  • Muse-Glimmer-30B-NVFP4-GGUF↗

    esatapedico

  • mms-tts-ade↗

    facebook

  • mms-tts-kir↗

    facebook

    This model is part of Facebook's Massively Multilingual Speech project, aiming to provide speech technology across a diverse range of languages. You can find more details about the supported languages and their ISO 639-3 codes in the MMS Language Coverage Overview, and see all MMS-TTS checkpoints on the Hugging Face Hub: facebook/mms-tts. VITS (**V**ariational **I**nference with adversarial learning for end-to-end **T**ext-to-**S**peech) is an end-to-end speech synthesis model that predicts a speech waveform conditional on an input text sequence. It is a conditional variational autoencoder (VAE) comprised of a posterior encoder, decoder, and conditional prior. A set of spectrogram-based acoustic features are predicted by the flow-based module, which is formed of a Transformer-based text encoder and multiple coupling layers. The spectrogram is decoded using a stack of transposed convolutional layers, much in the same style as the HiFi-GAN vocoder. Motivated by the one-to-many nature of the TTS problem, where the same text input can be spoken in multiple ways, the model also includes a stochastic duration predictor, which allows the model to synthesise speech with different rhythms from the same input text.