373dl/month
Identifier
Model ID
TirGun/Sber_Qwen3-VL-4B-Instruct-action-GGUFTags
transformersggufvisionmultimodalsber-roboticsactionroboticsvlaqwen3-vlQ4_K_MQ5_K_MQ6_Kmmprojllama.ccpgguf-v3ruenarxiv:2602.00919base_model:SberRoboticsCenter/Qwen3-VL-4B-Instruct-actionbase_model:quantized:SberRoboticsCenter/Qwen3-VL-4B-Instruct-actionlicense:apache-2.0endpoints_compatibleregion:usconversational
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Open StudioHow It Runs on Mixpeek
On Mixpeek, Sber_Qwen3-VL-4B-Instruct-action-GGUF runs as a managed extractor inside a processing pipeline. Point a bucket of robotics 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
OrganizationTirGun
TaskRobotics
Librarytransformers
Licenseapache-2.0
Downloads/mo373
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