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
Update README.md
Browse files
README.md
CHANGED
|
@@ -16,7 +16,7 @@ datasets:
|
|
| 16 |
|
| 17 |
# JevAny Qwen3.5 4B RoboJudge LoRA (v0.2, SFT)
|
| 18 |
|
| 19 |
-
A 4B robot judge / reward model: a robotics continuation of [`SimpleJev/JevAny-Robotics-4B`](https://huggingface.co/SimpleJev/JevAny-Robotics-4B)
|
| 20 |
(pointer readout on [`Qwen/Qwen3.5-4B`](https://huggingface.co/Qwen/Qwen3.5-4B)), fine-tuned on SimpleJev/JevAny-Robotics-Train-v0.2 — 184,942 judgement questions over
|
| 21 |
real and simulated robot images and videos (task progress, 1–5 rollout scores, execution success, failure mode, plan checking,
|
| 22 |
failure localisation, trajectory preference), built only from train-side splits and decontaminated against every test set below.
|
|
|
|
| 16 |
|
| 17 |
# JevAny Qwen3.5 4B RoboJudge LoRA (v0.2, SFT)
|
| 18 |
|
| 19 |
+
A 4B robot judge / reward model: a robotics continuation of [`SimpleJev/JevAny-Robotics-4B-LoRA`](https://huggingface.co/SimpleJev/JevAny-Robotics-4B-LoRA)
|
| 20 |
(pointer readout on [`Qwen/Qwen3.5-4B`](https://huggingface.co/Qwen/Qwen3.5-4B)), fine-tuned on SimpleJev/JevAny-Robotics-Train-v0.2 — 184,942 judgement questions over
|
| 21 |
real and simulated robot images and videos (task progress, 1–5 rollout scores, execution success, failure mode, plan checking,
|
| 22 |
failure localisation, trajectory preference), built only from train-side splits and decontaminated against every test set below.
|