HanLinqi/GR00T-N1.7-ForceBenchmark-WeightSortingV6-MoE-E1-E8-8x30K-20261001
robotics model by HanLinqi
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Model card & documentation
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Eight force MoE checkpoints trained on the ForceBenchmark WeightSorting V6 task. Each reached 30,000 steps. E1-E7 use transformer force encoders; E8 uses an MLP. All use observation history 2, action horizon 10, and top-1 MoE routing. The variants differ in force history and MoE dimensions: Each checkpoint directory contains the model shards,…
Read the full model card ↗ · Preview checked 2026-10-02T07:57:32.819Z
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Model overview
HanLinqi/GR00T-N1.7-ForceBenchmark-WeightSortingV6-MoE-E1-E8-8x30K-20261001 is a robotics model repository published by HanLinqi on Hugging Face. A library was not reported.
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Model facts
- Task
- robotics
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-10-02T06:25:16.000Z
- Last modified
- 2026-10-02T06:34:58.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: nvidia/GR00T-N1.7-3B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-02T06:39:29.113Z. Daily imports are snapshots, not real-time monitoring.
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