Instructions to use jaswanthsanjay88/rev-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaswanthsanjay88/rev-4b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3-4B-Base") model = PeftModel.from_pretrained(base_model, "jaswanthsanjay88/rev-4b") - Notebooks
- Google Colab
- Kaggle
jaswanthsanjay88/rev-qwen3-4b
A Rev-style prefill-only decision model based on Qwen/Qwen3-4B-Base.
Features
- Single forward pass: Parallel question evaluation with zero autoregressive decoding.
- Prefix KV-Caching: Instant repeated evaluation on long document states.
- Pointer readout head: Bilinear projection over option boundaries.
- TypeSafe System One API: Native compatibility with
/v1/systemone.
Files included
adapter_model.safetensors: Trained LoRA adapterhead.pt: PointerHead weights and base model metadata- Tokenizer configurations
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Base model
Qwen/Qwen3-4B-Base