{"slug":"orchestra-research-fine-tuning-openvla-oft","source_name":"orchestra-research/fine-tuning-openvla-oft","name":"Orchestra Research/Fine Tuning Openvla Oft","description":"Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups. Use when reproducing OpenVLA-OFT paper results, training custom VLA action heads (L1 or diffusion), deploying server-client inference for ALOHA, or debugging normalization, LoRA merge, and cross-GPU issues.","version":1,"lift":{"pass_rate_delta_pts":63.64,"pass_rate_pct":90.9,"total_cases":22,"passed_cases":20,"tokens_delta_pct":137.4,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-12T13:41:55.408818+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":63.64,"with_pass_pct":90.9,"without_pass_pct":27.3,"tokens_delta_pct":137.4,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":20,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-12T13:41:55.408818+00:00","run_id":"a17d83f3-3bb4-4eb7-8b2d-d97a67899645","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"b310bc79c3690d92d8c22fc0007d9a3a9c2a0afda0f934356ad1e9a7ec38b057","raw_url":"https://app.decimal.ai/s/orchestra-research-fine-tuning-openvla-oft/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/orchestra-research-fine-tuning-openvla-oft"}