Training & Fine-Tuning Compute Calculators

The arithmetic behind a training run: parameter counts from architecture, the FLOPs a run consumes, how long it takes on given hardware, and whether fine-tuning ever pays for itself against a longer prompt.

4 calculators in this category

Which one do you need?

Transformer Parameter Count Calculator
Count the parameters of a decoder-only transformer from hidden size, layers, feed-forward width, KV heads and vocabulary, with an attention/MLP breakdown.
LLM Training Compute (FLOPs) Calculator
Estimate training compute with C = 6ND: total FLOPs, petaflop-days, GPU-hours and wall-clock time for your parameter and token budget, plus Chinchilla check.
Fine-Tuning vs Long-Prompt Break-Even Calculator
Compare a one-off fine-tuning cost and a higher serving rate against carrying a long few-shot prompt on every request, and find where each wins.
Model Training Time Estimate Calculator
Estimate how long a training job runs: total steps from dataset, batch and epochs, wall-clock hours at your step rate, multi-GPU scaling loss and total cost.

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