vllm-omni/examples/offline_inference/internvla_a1/README.md

InternVLA-A1

Full usage and result-reporting guidance lives in docs/user_guide/examples/offline_inference/internvla_a1.md.

Quick start:

export INTERNVLA_A1_MODEL_DIR=/path/to/InternVLA-A1-3B-ft-pen
export INTERNVLA_A1_DATASET_DIR=/path/to/Genie1-Place_Markpen
export INTERNVLA_A1_PROCESSOR_DIR=/path/to/Qwen3-VL-2B-Instruct
# hf tenstep/Cosmos-Tokenizer-CI8x8-SafeTensors
export INTERNVLA_A1_COSMOS_DIR=/path/to/Cosmos-Tokenizer-CI8x8-SafeTensor

bash run.sh --num-samples 1 --num-episodes 0
bash run.sh --num-episodes 1
bash collect_results.sh

Expected files under INTERNVLA_A1_COSMOS_DIR:

• encoder.safetensors
• decoder.safetensors

Reference Hugging Face repo: tenstep/Cosmos-Tokenizer-CI8x8-SafeTensors

Key entrypoints:

• run.sh: wrapper for offline inference and GT evaluation
• collect_results.sh: collect sample output, latency, metrics, plots, and logs
• end2end.py: underlying Python entrypoint