Weights of 3D-PLOT-LLM: Part-Level Object Tokens for 3D Large Language Models (NeurIPS 2026). 3D-PLOT-LLM extends PointLLM (Vicuna-v1.5-7B with a frozen Point-BERT encoder on 8192-point Objaverse clouds). The encoder's patch tokens are partitioned into K=16 regions; each region is prefixed with a learnable marker and a reserved vocabulary token, refined by a lightweight Marker-Space Refinement module. The model can answer which regions a part description refers to, describe a given set of regions, and caption whole objects, with fewer than one million added parameters. The checkpoint is in PointLLM format (PointLLMLlamaForCausalLM, bf16) and loads with the pinned transformers commit used by…
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Jintang Xue
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