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Keywords {🔍}

training, model, openvla, episodes, accuracy, mimicgen, models, action, dataset, jetson, data, epochs, task, run, vla, inference, nanollm, quantization, number, validation, finetuning, success, domain, datasets, robot, time, frames, image, simulation, agx, orin, test, trained, stackd, open, vision, rlds, full, learning, tokens, token, container, jetsoncontainers, int, random, research, examples, generation, online, lora,

Topics {✒️}

/dusty-nv/jetson-containers bash jetson-containers/install dusty-nv/openvla-7b-mimicgen distinct dusty-nv/bridge_orig_ep100 dusty-nv/mimicgen-stack_d4-ep100 training dataset dusty-nv/bridge_orig_ep2500 save-stats argument /data/datasets/mimicgen/demo_src_stack_task_d4/demo studio --load openvla-mimicgen-int4 quantization='q4f16_ft' open x-embodiment dataset max-episodes recall specific knowledge jetson-containers/data directory nvidia isaac lab fully fine-tuning openvla openvla-7b open x-embodiment collection hybrid vision/language models setup jetson-containers openvla include embodied-cot reference fine-tuning workflows static pre-recorded datasets tutorials' llama-7b vocabulary vision/language action model advancing physical ai mlc higher-resolution vision encoder ros2 trade-offs py script deployment guide inference api node 1 vla-scripts/finetune rlds/tfds format delta roll/pitch/yaw original openvla model llama-7b open x-embodiment save time type data generation vit-based embodied models full fine-tuning runs fully fine-tuned checkpoint nano_llm import nanollm full fine-tuning script detokenized real-valued outputs int4/fp8 quantization original bridge data agentview camera

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