format int64 | model string | title string | auto_title string | views list | params int64 | height_unit int64 | source dict | input dict | output dict | plots list | stages list | plates list | tokens int64 | unused list | not_drawn list | summary string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | auto/vla_adapter | VLA-Adapter (1.6B): published base weights, adapter untrained | vla_adapter (vla_adapter) | [
"wrote",
"changed"
] | 1,575,044,575 | 1,024 | {"checkpoint":"weights.safetensors","step":null,"package":"vla_adapter","code":"model.py","observati(...TRUNCATED) | {"seed":9000007,"step":null,"text":"Pick up the lime star","swap":false,"pieces":["","","","","","",(...TRUNCATED) | {"poses":[[2.035,3.4866,1.607,-1.5257,-1.2687,-1.4106,0.0447],[2.0177,3.4892,1.6032,-1.4964,-1.2707,(...TRUNCATED) | [{"id":"learned","label":"start token","kind":"learned","grid":[1,1],"tokens":[0,1],"at":[54,0],"aut(...TRUNCATED) | [{"id":"in.image","label":"camera image","kind":"input","group":["inputs"],"plots":["cam_top","cam_s(...TRUNCATED) | [{"id":"vla.base_model.model.language_model.model.layers.0.plate","stage":"vla.base_model.model.lang(...TRUNCATED) | 874 | [{"name":"vla.base_model.model.vision_backbone.featurizer.norm.weight","params":1024},{"name":"vla.b(...TRUNCATED) | [{"name":"vla.base_model.model.language_model.model.embed_tokens","class":"Embedding","params":13613(...TRUNCATED) | "Answers the whole 8-step chunk in one pass, with no noise. Two vision encoders (DINOv2 and SigLIP) (...TRUNCATED) |
Ready-made traces for AMP Embodied AI Workbench Pro
Recordings of what every layer of a robot model computes on one moment of the AMP Toy Robotics Benchmark, for Pro's Model Viewer (trace.json + data.npz, 8-bit). Pro downloads one when asked, from its Open window.
| Folder | Model | Licence of the model |
|---|---|---|
| vla-adapter | OpenHelix VLA-Adapter, published base weights (1.6B parameters) | MIT |
Each trace is derived from the model named, under that model's licence. Traces made by Adaptive Machine Patterns Ltd, https://adaptive-machine-patterns.com
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