Instructions to use SimpleJev/JevAny-Robotics-4B-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SimpleJev/JevAny-Robotics-4B-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "SimpleJev/JevAny-Robotics-4B-LoRA") - Notebooks
- Google Colab
- Kaggle
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Download eval/jevbench.md from SimpleJev/JevAny-Robotics-4B-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 534 Bytes
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https://huggingface.co/SimpleJev/JevAny-Robotics-4B-LoRA/resolve/main/eval/jevbench.md
- Command line
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hf download hf://SimpleJev/JevAny-Robotics-4B-LoRA/eval/jevbench.md
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curl -L -o jevbench.md https://huggingface.co/SimpleJev/JevAny-Robotics-4B-LoRA/resolve/main/eval/jevbench.md
534 Bytes
base rows 231, new rows 231, paired 231
| slice | n | base acc | new acc | Δacc [95% CI] | base NLL | new NLL | ΔNLL [95% CI] | new-only/base-only correct |
|---|---|---|---|---|---|---|---|---|
| variant=clean | 231 | 77.92 | 77.92 | +0.00 [-3.10, +2.64] | 0.482 | 0.547 | +0.065 [-0.002, +0.154] | 5/5 |
| task=extraction | 24 | 100.00 | 100.00 | +0.00 [+0.00, +0.00] | 0.004 | 0.002 | -0.002 [-0.005, -0.000] | 0/0 |
| task=intent | 24 | 95.83 | 95.83 | +0.00 [+0.00, +0.00] | 0.061 | 0.060 | -0.001 [-0.003, -0.000] | 0/0 |