4Kdl/month
79likes
Identifier
Model ID
QuantStack/Wan2.2-S2V-14B-GGUFTags
ggufs2vtext-to-videobase_model:Wan-AI/Wan2.2-S2V-14Bbase_model:quantized:Wan-AI/Wan2.2-S2V-14Blicense:apache-2.0region:us
Use Wan2.2-S2V-14B-GGUF 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, Wan2.2-S2V-14B-GGUF runs as a managed extractor inside a processing pipeline. Point a bucket of text to video 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
OrganizationQuantStack
TaskText To Video
Librarygguf
Licenseapache-2.0
Downloads/mo4K
Likes79
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