openvla 7b oft finetuned libero goal

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released February 2025context N/A

A specialized robotics control model fine-tuned for goal-conditioned manipulation tasks within the LIBERO simulation benchmark suite. It operates on the OpenVLA architecture at 7 billion parameters, with OFT (Orthonormal Fine-Tuning) applied to adapt the base vision-language-action model. Its focus is narrow — it handles structured robotic task instructions rather than general conversation.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Moderate

Reasoning & Logic

Moderate

Creative Writing

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

openvla 7b oft finetuned libero goal

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released February 2025context N/A

A specialized robotics control model fine-tuned for goal-conditioned manipulation tasks within the LIBERO simulation benchmark suite. It operates on the OpenVLA architecture at 7 billion parameters, with OFT (Orthonormal Fine-Tuning) applied to adapt the base vision-language-action model. Its focus is narrow — it handles structured robotic task instructions rather than general conversation.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Moderate

Reasoning & Logic

Moderate

Creative Writing

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.BenchmarkA standardized test suite used to measure and compare model performance on specific tasks.Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.Fine-TuningThe process of further training a pre-trained model on new data to adapt it for specific tasks or domains.Goal-ConditionedA system that adapts its behavior based on an inferred or specified goal or intent.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.Vision-LanguageA model designed to understand and reason about both visual content (images) and natural language text together.Vision-Language-Action ModelA model that combines visual perception, language understanding, and robotic action generation to interpret instructions and control robot movements.

Capabilities

Use Case Fit

Capabilities

Use Case Fit

Similar Models

Glossary