LLM Fine-Tuning & Training Spreadsheet Calculator Bundle

About This Product

Stop blowing your budget on GPU hours and cloud compute. Most fine-tuning projects go over budget because they rely on guesswork—this spreadsheet bundle turns your training parameters into accurate cost projections before you launch a single job.

The LLM Fine-Tuning & Training Spreadsheet Calculator Bundle eliminates the hidden costs of trial-and-error fine-tuning. By modeling every variable from dataset size to H100 pricing, it gives you a realistic budget and timeline, so you can plan your experiments with confidence and avoid the costly 'oops, we need more A100s' panic.

## What's Included

- Pre-built cost models for OpenAI, Anthropic, and open-source LLaMA/Mistral fine-tuning APIs - Dynamic hyperparameter sliders to instantly see impact on training time and cost - GPU hour calculator for on-prem vs. cloud (AWS, GCP, Lambda Labs) with real-time pricing - Dataset size estimator that converts raw tokens to training steps and epochs - Exportable one-page budget report for stakeholders or investor pitches

Key Features

• Stop blowing your budget on GPU hours and cloud compute
• Most fine-tuning projects go over budget because they rely on guesswork—this spreadsheet bundle turns your training parameters into accurate cost projections before you launch a single job
• The LLM Fine-Tuning & Training Spreadsheet Calculator Bundle eliminates the hidden costs of trial-and-error fine-tuning
• By modeling every variable from dataset size to H100 pricing, it gives you a realistic budget and timeline, so you can plan your experiments with confidence and avoid the costly 'oops, we need more A100s' panic
• ## What's Included - Pre-built cost models for OpenAI, Anthropic, and open-source LLaMA/Mistral fine-tuning APIs - Dynamic hyperparameter sliders to instantly see impact on training time and cost - GPU hour calculator for on-prem vs
• cloud (AWS, GCP, Lambda Labs) with real-time pricing - Dataset size estimator that converts raw tokens to training steps and epochs - Exportable one-page budget report for stakeholders or investor pitches ## Who Is This For - Indie developers prototyping their first fine-tuned model on a tight budget - Startup CTOs who need to justify compute costs to the board - AI researchers comparing fine-tuning vs