mimi-neoki/vla0-gorgeous-30hz-merged-v2v3-qwen35-2b-lerobot051
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VLA-0 Gorgeous 30Hz Merged v2v3 Qwen3.5 2B
This repository contains a lightweight inference package exported from:
runs/vla0_gorgeous_30hz_merged_v2v3_qwen35_2b_8gpu
It is packaged for use with the VLA-0 codebase in an environment aligned to lerobot==0.5.1.
Included
model_last/- Hugging Face
save_pretrainedexport for the Qwen3.5-2B-based VLA-0 model. config.yaml- Training/inference configuration used by
rv_train.train.get_pretrained_model. dataset_stats.pkl- Action de-normalization statistics required at inference time.
model_last.pth- Lightweight compatibility stub for VLA-0 inference. The actual model weights live in
model_last/model.safetensors.
Important note about model_last.pth
The original training checkpoint .pth file is very large because it also stores optimizer and scheduler state. For inference with VLA-0, the model weights are loaded from model_last/, while model_last.pth is only used as a compatibility entrypoint by the current loader. This package therefore ships a compact inference stub instead of the original full training-state checkpoint.
Usage
Clone or download this repository locally, then point VLA-0 at the included stub:
ROBOVERSE_DEPLOY_CHECKPOINT=/path/to/this-repo/model_last.pth python rv_train/deploy/service.pyOr load the transformer export directly:
from transformers import AutoModelForImageTextToText, AutoProcessor
model = AutoModelForImageTextToText.from_pretrained("/path/to/this-repo/model_last")
processor = AutoProcessor.from_pretrained("/path/to/this-repo/model_last")Compatibility
- Base model:
Qwen/Qwen3.5-2B - Intended environment: VLA-0 repository with
lerobot==0.5.1 - Export date:
2026-04-19
License
This package follows the licensing described in the upstream VLA-0 repository:
- VLA-0 code and released checkpoints:
CC BY-NC 4.0 - Base model licensing follows
Qwen/Qwen3.5-2B
Added numbered epoch checkpoint
model_52/andmodel_52.pthwere added on2026-04-20.- This is the latest numbered epoch checkpoint currently available in the source run directory.
model_lastis kept separately and is not identical tomodel_52in the current run state.
