ScriptAI Infrastructurev1.0

Model Fine-Tuning (LoRA)

by AaaS · free · Last verified 2026-03-01

This script automates the process of fine-tuning large language models using Low-Rank Adaptation (LoRA). It provides an end-to-end workflow, from preparing custom datasets to training lightweight adapters and merging them into a base model for efficient deployment. This enables domain-specific model specialization with significantly reduced computational costs.

https://aaas.blog/script/model-fine-tuning-lora ↗

B—Above Average

Adoption: B+Quality: AFreshness: ACitations: BEngagement: F

Specifications

License: MIT
Pricing: free
Capabilities: Parameter-Efficient Fine-Tuning (PEFT) with LoRA, Automated dataset preparation and tokenization, Configuration of LoRA hyperparameters (rank, alpha, dropout), Training loop with gradient accumulation and checkpointing, Model evaluation using metrics like perplexity and loss, Merging trained LoRA adapters with the base model, Support for various Hugging Face transformer models, Integration with experiment tracking tools like Weights & Biases
Integrations: [object Object], [object Object], [object Object], [object Object], [object Object]
Use Cases: [object Object], [object Object], [object Object], [object Object]
API Available: No
Language: python
Dependencies: transformers, peft, datasets, wandb, bitsandbytes, accelerate
Environment: Python 3.11+ with CUDA 12 and 24GB+ VRAM
Est. Runtime: 30-180 minutes depending on model size and dataset
Tags: fine-tuning, lora, training, llm, peft, natural-language-processing, model-customization, pytorch, hugging-face, automation
Added: 2026-03-17
Completeness: 0.8%

Index Score

62.6

Adoption

Quality

Freshness

Citations

Engagement

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