fine-tuning-openvla-oft

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...

Links

• Roles: llm-engineer
• Source repo: Orchestra-Research/AI-Research-SKILLs
• Same repo: axolotl, deepspeed, distributed-llm-pretraining-torchtitan, fine-tuning-serving-openpi, awq-quantization, gguf-quantization, gptq, hqq-quantization
• Registry seed skills for this role: llm-engineer seed skills