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:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Upload CLAUDE.md with huggingface_hub
Browse files
CLAUDE.md
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@@ -6,8 +6,10 @@ Small vision-language-action models. Two lines of work:
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0.5–2 Hz) + fast flow-matching expert (10–20 Hz). **86% LIBERO-spatial, 84% 4-suite
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average** — beats OpenVLA-7B on every suite at 0.64B params / 140M online.
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- **v2 (research)** — cross-embodiment: canonical action space + morphology
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conditioning across 10 robots. Best: `tv2_C_scaled`
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in-training
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Everything (checkpoints, results, wiring) lives in the **private** HF repo
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`AlexWortega/tinyvla` (v1 at the root, v2 under `tinyvla2/`).
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0.5–2 Hz) + fast flow-matching expert (10–20 Hz). **86% LIBERO-spatial, 84% 4-suite
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average** — beats OpenVLA-7B on every suite at 0.64B params / 140M online.
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- **v2 (research)** — cross-embodiment: canonical action space + morphology
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conditioning across 10 robots. Best: `tv2_C_scaled` — ratio-to-baseline **0.34**
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in-training, **0.28** on a held-out *arm*, but **1.67** on a held-out *mobile
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base*. (Published as 0.81/0.88 until an eval-harness bug was found on
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2026-08-28 — see Results.)
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Everything (checkpoints, results, wiring) lives in the **private** HF repo
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`AlexWortega/tinyvla` (v1 at the root, v2 under `tinyvla2/`).
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