Instructions to use hz1919810/lingbot-va-arx-teacher-nosplit-step3000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hz1919810/lingbot-va-arx-teacher-nosplit-step3000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hz1919810/lingbot-va-arx-teacher-nosplit-step3000", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Download README.md from hz1919810/lingbot-va-arx-teacher-nosplit-step3000: direct link, hf CLI and curl.
- Browser
- Download file 1.57 kB
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https://huggingface.co/hz1919810/lingbot-va-arx-teacher-nosplit-step3000/resolve/main/README.md
- Command line
-
hf download hf://hz1919810/lingbot-va-arx-teacher-nosplit-step3000/README.md
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curl -L -o README.md https://huggingface.co/hz1919810/lingbot-va-arx-teacher-nosplit-step3000/resolve/main/README.md
1.57 kB
| license: other | |
| tags: [lingbot-va, world-model, video-action, robotics, arx-lift-r5, sft-teacher] | |
| library_name: diffusers | |
| # LingBot-VA ARX SFT Teacher — NO train/test split (all 199), step 3000 | |
| Video-action world-model (LingBot-VA) fine-tuned on the **full ARX WAM-OPD | |
| dataset (all 199 episodes, no holdout)** — the contract-deliverable teacher. | |
| > This is the **no-split** line. Its training upper bound was **3000 steps** | |
| > (contract), so **there is no 5000-step checkpoint for this line** — the | |
| > 5000-step run is the separate 160-episode *split* teacher (used only for the | |
| > overfitting diagnostic). This checkpoint (step 3000) is the final schedule | |
| > checkpoint of the no-split teacher. | |
| ## Provenance | |
| | | | | |
| |---|---| | |
| | Base model | `Robbyant/lingbot-va-base` @ `5fbd004a…` | | |
| | Dataset | `ylhaichen04/WAM-OPD_4Tasks` @ `651338c2…` (LeRobot v2.1, all 199 ep / 64,417 frames) | | |
| | Split | none (all 199 for training, no holdout) | | |
| | Temporal | `video_7p5hz_action_15hz_k2` (K=2) | | |
| | Action | 14-D absolute joint -> 30-D `[14-19,28,21-26,29]`, dataset q01/q99 | | |
| | Precision / optim | BF16 FSDP, AdamW lr 5e-6, grad clip 2.0, CFG 0.1 | | |
| | This checkpoint | step 3000 (final; no 5000 for this line) | | |
| `transformer/` = diffusers-format WanTransformer3DModel. Switch attn_mode to | |
| torch/flashattn for inference (training used flex). | |
| ## Selection note | |
| Because the no-split line has **no holdout**, step 3000 is a final schedule | |
| checkpoint, not a validation-selected best. Checkpoint selection for deployment | |
| should be done by real-robot evaluation. | |