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
File size: 866 Bytes
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Copyright 2026 Tianxin Wei
This product includes modified source code from Kev by Jared Palmer:
https://github.com/jaredpalmer/kev
Kev is distributed under the Apache License 2.0. JevAny keeps that license,
marks derived source files, and documents the changes in ACKNOWLEDGEMENTS.md.
The Phi-4 conversion helper includes configuration and weight-name mappings
adapted from Hugging Face Transformers, Copyright 2025 The HuggingFace Inc. team,
under the Apache License 2.0:
https://github.com/huggingface/transformers
The released adapters require Qwen3.8-27B by the Qwen team. The base model is
distributed separately under its own Apache License 2.0 terms.
JevAny's decision interface is compatible with the public System One request
shape. Jev and TypeSafe are names of their respective owners; this project is
not affiliated with or endorsed by them.
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