File size: 1,712 Bytes
ac8e349 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | # FastWAM Task198 Left-Head Inference Package
This package contains the files needed to load the Task 198 FastWAM 40k checkpoint for inference/evaluation.
## Contents
```text
weights/step_040000.pt
configs/config_inference.yaml
configs/config_training_original.yaml
metadata/dataset_stats.json
README.md
```
## Model
- Base model: `Wan-AI/Wan2.2-TI2V-5B`
- Tokenizer model: `Wan-AI/Wan2.1-T2V-1.3B`
- Fine-tuned checkpoint: `step_040000.pt`
- Camera: `rgb.cam_left_head`
- Action/state raw dimension: 19
- Action/state training dimension: 16
- Training mode: video expert frozen, action expert trained
- `lambda_video`: 0.0
- `lambda_action`: 1.0
## Inference Config
`configs/config_inference.yaml` is derived from the original resolved training config, with these inference-oriented changes:
```yaml
model:
action_dit_pretrained_path: null
skip_dit_load_from_pretrain: true
```
The final checkpoint contains the trained `mot` weights, so the preprocessed ActionDiT backbone is not included in this minimal package.
## Upload
From the folder that contains this package:
```bash
export HF_REPO_ID="<your-hf-username>/fastwam-task198-left-head-inference-step040000"
huggingface-cli repo create "$HF_REPO_ID" --type model --private
huggingface-cli upload "$HF_REPO_ID" . . --repo-type model
```
Equivalent with the newer CLI:
```bash
hf upload "$HF_REPO_ID" . . --repo-type model
```
## Notes
- This is a minimal inference package, not a full training-resume archive.
- DeepSpeed optimizer/scheduler states are intentionally excluded.
- Eval videos and training logs are intentionally excluded.
- To resume training exactly from 40k with optimizer state, upload the full run directory instead.
|