Downloads · 30 days
0
Jiahao-Wang/lingbot-va-robotwin-8task-lora-v2-r64-step10000
lingbot-va-robotwin-8task-lora-v2-r64-step10000 is a machine learning model from Jiahao-Wang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers.
This is a LingBot-VA inference bundle post-trained with LoRA v2 on eight RoboTwin 2.0 tasks. The merged transformer/ can be used directly by wanvaserver.py --pretrained-model-path.
Downloads · 30 days
0
Access
Public
Updated Jun 12, 2026
Parameters
5.1B
25 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors25 GB · 100%
From the Hugging Face model README
This is a LingBot-VA inference bundle post-trained with LoRA v2 on eight
RoboTwin 2.0 tasks. The merged transformer/ can be used directly by
wan_va_server.py --pretrained-model-path.
LoRA v2 uses rank 64, alpha 128, dropout 0.0, attention + FFN LoRA targets,
and full training for action_embedder and action_proj_out.
Training tasks:
click_alarmclockstack_blocks_twohandover_blockplace_object_basketpick_dual_bottlesshake_bottleturn_switchbeat_block_hammerThe bundle includes the base tokenizer/, text_encoder/, and vae/, plus
the step 10000 merged transformer/ and lora_adapter/ for analysis.