Instructions to use AlexWortega/tinyvla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use AlexWortega/tinyvla with LeRobot:
- Notebooks
- Google Colab
- Kaggle
File size: 2,131 Bytes
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"type": "tinyvla",
"n_obs_steps": 1,
"input_features": {
"observation.images.cam0": {
"type": "VISUAL",
"shape": [
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256
]
},
"observation.images.cam1": {
"type": "VISUAL",
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256,
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"observation.state": {
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"shape": [
16
]
}
},
"output_features": {
"action": {
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"shape": [
8
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}
},
"device": "cuda",
"use_amp": false,
"use_peft": false,
"push_to_hub": true,
"repo_id": null,
"private": null,
"tags": null,
"license": null,
"pretrained_path": null,
"pretrained_revision": null,
"chunk_size": 50,
"n_action_steps": 50,
"normalization_mapping": {
"VISUAL": "IDENTITY",
"STATE": "MEAN_STD",
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},
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"max_action_dim": 8,
"num_embodiments": 8,
"max_cameras": 3,
"image_size": 256,
"freeze_vision_encoder": false,
"lm_model_name": "Qwen/Qwen3.5-0.8B",
"lm_num_layers": 12,
"num_readout_tokens": 8,
"freeze_lm": false,
"tokenizer_max_length": 48,
"pad_language_to": "longest",
"expert_dim": 512,
"expert_layers": 12,
"expert_heads": 8,
"use_semantic_latent": true,
"use_spatial_tokens": true,
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"num_denoise_steps": 10,
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"staleness_prob": 0.0,
"staleness_max_s": 2.0,
"optimizer_lr": 0.0001,
"optimizer_betas": [
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"optimizer_weight_decay": 1e-10,
"optimizer_grad_clip_norm": 10.0,
"scheduler_warmup_steps": 1000,
"scheduler_decay_steps": 40000,
"scheduler_decay_lr": 2.5e-06
} |