Zeng-Jia
commited on
Commit
·
7d2090f
1
Parent(s):
d786491
upload pretrained checkpoint of F1-VLA for initial release
Browse files- .gitattributes +1 -0
- README.md +95 -0
- config.json +251 -0
- model.safetensors +3 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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README.md
CHANGED
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@@ -1,3 +1,98 @@
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---
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license: cc-by-nc-sa-4.0
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---
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---
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pipeline_tag: robotics
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library_name: transformers
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license: cc-by-nc-sa-4.0
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tags:
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- vision-language-model
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- manipulation
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- robotics
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---
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<div align="center">
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<video src="https://cdn-uploads.huggingface.co/production/uploads/678123194248fde89e4fc9bf/_cbIWKHPzffRxIpfmqdFG.mp4"
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controls autoplay muted playsinline loop width="720"></video>
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<p><em>🏁 Best viewed with sound on</em></p>
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</div>
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# <img src="https://cdn-uploads.huggingface.co/production/uploads/678123194248fde89e4fc9bf/DlaSt8_2mmyyzayK9ymbp.png" alt="F1 Logo" width="70" height="45">: A Vision Language Action Model Bridging<br>Understanding and Generation to Actions
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[](https://aopolin-lv.github.io/F1-VLA)
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[](https://github.com/InternRobotics/F1-VLA)
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## 🚀 Key Innovations
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- **🧠 Predictive Inverse Dynamics**: Visual foresight generation for planning-based control
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- **🏗️ Mixture-of-Transformer**: Three specialized experts (Understanding, Generation, Action)
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- **📈 Three-Stage Training**: Progressive alignment, pretraining, and adaptation
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## 🤖 Real-World Robot Experiments
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<!-- <div align="center">
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<video src="https://cdn-uploads.huggingface.co/production/uploads/678123194248fde89e4fc9bf/FPZ45NJd9_B_T1gOP8QVf.qt"
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controls autoplay muted playsinline loop width="720"></video>
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<p><em>9 diverse manipulation tasks including pick-and-place, handover, and complex object manipulation</em></p>
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</div> -->
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<div style="display: flex; flex-direction: column; align-items: center; gap: 10px;">
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<!-- First Row -->
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<div style="display: flex; justify-content: center; align-items: center; gap: 10px;">
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<video controls autoplay loop muted width="250" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/Robot_demos/resolve/main/arx_v2_long.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="250" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/Robot_demos/resolve/main/arx_v1_dyna.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="260" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/Robot_demos/resolve/main/franka_v1_sweep.mp4" type="video/mp4">
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</video>
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</div>
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<!-- Second Row -->
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<div style="display: flex; justify-content: center; align-items: center; gap: 10px;">
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<video controls autoplay loop muted width="250" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/Robot_demos/resolve/main/genie_v2_handover.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="250" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/Robot_demos/resolve/main/genie_v3_tea.mp4" type="video/mp4">
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</video>
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<video controls autoplay loop muted width="260" style="border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
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<source src="https://huggingface.co/spaces/Jia-Zeng/Robot_demos/resolve/main/genie_v1_flower.mp4" type="video/mp4">
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</video>
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</div>
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<p><em>Diverse manipulation tasks across multiple robot platforms.</em></p>
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</div>
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## 📊 Performance Summary
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| Task | Platform | F1 | π0 | Improvement |
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|:--------:|:------------:|:------------------:|:------------:|:---------------:|
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| Multi-task | Genie-1 | 82.2% | 65.2% | +17.0% |
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| Adaptation | Franka | 66.7% | 53.3% | +13.4% |
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| Long-horizon | ARX LIFT II | 40.0% | 0.0% | +40.0% |
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| Dynamic Env | ARX LIFT II | 66.7% | 33.3% | +33.4% |
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## Usage
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Please refer to our official repo [F1-VLA](https://github.com/InternRobotics/F1-VLA).
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## 📚 Citation
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If you find our work helpful, please cite:
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```bibtex
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@article{f1_vla_2025,
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title={F1: A Vision Language Action Model Bridging Understanding and Generation to Actions},
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author={Qi Lv and Weijie Kong and Hao Li and Jia Zeng and Zherui Qiu and Delin Qu and Haoming Song and Qizhi Chen and Xiang Deng and Jiangmiao Pang},
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journal={Conference/Journal Name},
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year={2025},
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url={https://arxiv.org/abs/xxxx.xxxxx}
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}
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```
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## License
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This work is under the [cc-by-nc-sa-4.0](LICENSE).
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## Acknowledgements
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This repository is based on [Lerobot](https://github.com/huggingface/lerobot), [Any4lerobot](https://github.com/Tavish9/any4lerobot/), and [VAR](https://github.com/FoundationVision/VAR).
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config.json
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{
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"_attn_implementation_autoset": true,
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"act_expert_config": {
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"_attn_implementation_autoset": true,
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"attention_bias": false,
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"attention_dropout": 0.0,
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"head_dim": 256,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"max_position_embeddings": 8192,
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"model_type": "gemma",
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"num_attention_heads": 8,
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"num_hidden_layers": 18,
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"num_key_value_heads": 1,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"torch_dtype": "float32",
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"use_cache": true,
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"vocab_size": 257152
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},
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"architectures": [
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"MWMForConditionalGeneration"
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],
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"attention_implementation": "eager",
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"auto_map": {
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"AutoConfig": "configuration_mwm.MWMConfig",
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"AutoModel": "modeling_mwm.MWMForConditionalGeneration"
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},
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"chunk_size": 30,
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"gen_expert_config": {
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"_attn_implementation_autoset": true,
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"attention_bias": false,
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"attention_dropout": 0.0,
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"head_dim": 256,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": "gelu_pytorch_tanh",
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| 40 |
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"hidden_size": 1024,
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| 41 |
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"initializer_range": 0.02,
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| 42 |
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"intermediate_size": 4096,
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"max_position_embeddings": 8192,
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"model_type": "gemma",
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| 45 |
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"num_attention_heads": 8,
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| 46 |
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"num_hidden_layers": 18,
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"num_key_value_heads": 1,
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| 48 |
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"num_resolutions": 4,
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"pn": "1_2_3_4_5_6_8_10_13_16",
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| 50 |
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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| 52 |
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"temporal_conv_kernel_size": 4,
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| 53 |
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"temporal_conv_stride": 4,
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| 54 |
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"torch_dtype": "float32",
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| 55 |
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"use_cache": true,
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"vae": {
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| 57 |
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"ch": 160,
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| 58 |
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"share_quant_resi": 4,
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"test_mode": true,
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"vae_ckpt": "/fs-computility/efm/shared/model_weights/var/vae_ch160v4096z32.pth",
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| 61 |
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"vocab_size": 4096,
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| 62 |
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"z_channels": 32
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},
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"vocab_size": 257152
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},
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"language_tokenizer_path": "/fs-computility/efm/shared/model_weights/paligemma-3b-pt-224",
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| 67 |
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"max_action_dim": 32,
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"max_state_dim": 32,
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"model_type": "mwm",
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"num_steps": 10,
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"pretrained_path": "/fs-computility/efm/shared/model_weights/pi0/lerobot",
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"proj_width": 1024,
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"resize_imgs_with_padding": [
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224,
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224
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],
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"tokenizer_max_length": 48,
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"transformers_version": "4.51.3",
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"und_expert_config": {
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