Inference ≠ training

Estimate the fit.
Then test the device.

Memory math can reject obvious mismatches and identify borderline configurations. It cannot certify drivers, model architectures, prompt templates, runtimes, context implementations, or training toolkits.

Cracked-gray Curious Obmil carries a glowing device toward a smaller, sorrowful GoldCap with one broad main cap, exactly two smaller caps, and living gold veins in a device-local workshop glade
Curious brings the work home. GoldCap keeps the training path on the user’s own ground.
DEVICE-SIDE ESTIMATE

Check inference and training separately.

This calculator estimates model-weight, context, and runtime memory. It cannot certify a model, driver, prompt template, or toolkit.

OS + RUNTIMELikely fit

The selected runtime family documents this operating-system path, but version and backend still require a local test.

INFERENCE LOADStrong fit

Estimated working memory: 6.4 GB including approximately 4.4 GB of weights and 0.8 GB of context allowance.

LOCAL TRAININGNot requested

Turn on the training estimate only if a compatible toolkit and trainable base model are available.

FREE STORAGE TARGET17 GB or more

Allows model files, temporary data, logs, and one additional model copy. Toolkit behavior can require more.