NEWVectors or files. Pick a path.Start →
    Models/Text To Audio/emb1ter/ACE-Step-v1.5-5Hz-LM-4B-ONNX-WebGPU
    Text To Audiotransformers.jsmit

    ACE-Step-v1.5-5Hz-LM-4B-ONNX-WebGPU

    by emb1ter

    Identifier
    Model ID
    emb1ter/ACE-Step-v1.5-5Hz-LM-4B-ONNX-WebGPU

    Tags

    transformers.jsonnxqwen3text-generationace-stepaudiomusicwebgputext-to-audiobase_model:ACE-Step/acestep-5Hz-lm-4Bbase_model:quantized:ACE-Step/acestep-5Hz-lm-4Blicense:mitregion:us

    Use ACE-Step-v1.5-5Hz-LM-4B-ONNX-WebGPU on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, ACE-Step-v1.5-5Hz-LM-4B-ONNX-WebGPU runs as a managed extractor inside a processing pipeline. Point a bucket of text to audio data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.