LlamaREST-IPD (GGUF)

LlamaREST-IPD is a Small Language Model (SLM) fine-tuned to predict inter-parameter dependencies (IPDs) among REST API parameters, used by LlamaRestTest to improve automated REST API test generation.

It is one of the two SLMs used by LlamaRestTest; the companion model, LlamaREST-EX, generates realistic example values for parameters.

Models

Quantized with llama.cpp (Q6_K) from a Llama-3-8B base fine-tuned with QLoRA.

Download

pip install -U "huggingface_hub[cli]"
hf download codingsoo/LlamaREST-IPD-GGUF LlamaREST-IPD-8B.gguf --local-dir .

Usage

Intended to be run through the LlamaRestTest pipeline. To run the GGUF directly with llama.cpp:

./llama-cli -m LlamaREST-IPD-8B.gguf -p "your prompt"

Training

Fine-tuned from Llama-3-8B with QLoRA, then quantized with llama.cpp (Q6_K). Key hyperparameters:

• 4-bit precision (nf4), compute dtype float16, no nested quantization
• LoRA: r=64, alpha=16, dropout 0.1
• 5 epochs, batch size 4, paged_adamw_32bit, LR 2e-4, weight decay 0.001, constant schedule, warmup ratio 0.03

Training data (Inter-Parameter Dependency): random1234321/REST-IPD.

License

The training/testing code is released under the MIT License. The model weights are derived from Meta Llama 3 and are therefore subject to the Meta Llama 3 Community License.

Citation

@article{kim2025llamaresttest,
  title={LlamaRestTest: Effective REST API Testing with Small Language Models},
  author={Kim, Myeongsoo and Sinha, Saurabh and Orso, Alessandro},
  journal={arXiv preprint arXiv:2501.08598},
  year={2025}
}