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Identifier
Model ID
kyutai/moshika-rag-pytorch-bf16Tags
moshisafetensorsaudio-to-audioendataset:kyutai/HaluEvalAudio_1000arxiv:2604.12928base_model:kyutai/moshika-pytorch-bf16base_model:finetune:kyutai/moshika-pytorch-bf16license:cc-by-4.0region:us
Use moshika-rag-pytorch-bf16 on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, moshika-rag-pytorch-bf16 runs as a managed extractor inside a processing pipeline. Point a bucket of audio 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.
Specification
Organizationkyutai
TaskAudio To Audio
Librarymoshi
Licensecc-by-4.0
Downloads/mo2K
Likes7
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