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fpvla-stage2-827-50k
3CTeam/fpvla-stage2-827-50k
fpvla-stage2-827-50k is a robotics model from 3CTeam. Use it for the robotics task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
FP-VLA (Vision-Language-Action) model with trace prediction capability, fine-tuned from openvla/openvla-7b.
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At a glance
- Task
- Robotics
- License
- apache-2.0
- Model type
- openvla
- Access
- Public
- Created
- Sep 2, 2026
- Updated
- Sep 18, 2026
- SHA
- e7584a12
Model card
From the Hugging Face model README
3cteam/fpvla-stage2-827
FP-VLA (Vision-Language-Action) model with trace prediction capability, fine-tuned from openvla/openvla-7b.
Model Architecture
| Component | Type |
|---|---|
| Trace Head | linear |
| Action Head | mlp |
Linear Trace Head
- Direct regression via nn.Linear for trajectory prediction
- Deterministic inference (no sampling noise)
- Input: 66 learnable query tokens (conditioned on image + past trajectory)
- Output: 33-point normalized trajectory [33, 2]
Usage
from prismatic.extern.hf.configuration_prismatic import OpenVLAConfig
from prismatic.extern.hf.modeling_prismatic import OpenVLAForActionPrediction
# Load config + model (constructor + manual weight loading)
config = OpenVLAConfig.from_pretrained("YOUR_REPO_ID")
model = OpenVLAForActionPrediction(config)
import glob
from safetensors.torch import load_file
state_dict = {}
for shard in sorted(glob.glob("YOUR_REPO_ID/*.safetensors")):
state_dict.update(load_file(shard))
model.load_state_dict(state_dict, strict=False)
Evaluation
python vla_scripts/eval_trace_mix.py \
--model_path YOUR_REPO_ID \
--base_vla_path openvla/openvla-7b \
--data_root_dir data \
--dataset_name trace_mix \
--output_dir runs/eval \
--max_samples 64
License
Apache-2.0
- Task
- Robotics
- Type
- openvla
- License
- apache-2.0
- Created
- Sep 2, 2026
- Updated
- Sep 18, 2026