592dl/month
Identifier
Model ID
zilinhuang/DriveVLM-RLTags
stable-baselines3reinforcement-learningautonomous-drivingcarlavision-language-modelarxiv:2603.18315license:mitregion:us
Use DriveVLM-RL 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, DriveVLM-RL runs as a managed extractor inside a processing pipeline. Point a bucket of reinforcement learning 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
Organizationzilinhuang
TaskReinforcement Learning
Librarystable-baselines3
Licensemit
Downloads/mo592
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