Instructions to use alpha7845/lora-lens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alpha7845/lora-lens with PEFT:
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- Notebooks
- Google Colab
- Kaggle
LoRA Lens
LoRA Lens is a small, transparent audit tool for parameter-efficient fine-tuning releases. Upload an adapter_config.json or paste one into the editor to get an immediate reviewer-facing readout.
What it checks
- Base model and PEFT type
- Rank, alpha, and the effective scaling factor
- Target modules and missing metadata
- Dropout and
modules_to_savereview notes - Conservative adapter-size estimates when
hidden_sizeis available - Optional trainable-parameter share against a supplied base-model size
Why it exists
Adapter repositories are often technically valid but difficult to review. LoRA Lens makes the important release metadata visible before a model card is written, without uploading weights or requiring an API key.
Scope
This is a metadata and sanity-check tool, not a substitute for evaluation. Parameter estimates depend on the base architecture; verify claims against the actual model before publishing.
Local run
pip install -r requirements.txt
python app.py
Built by Praveen as part of an open model tooling portfolio.
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