All learning paths Learn See Try Make Pick a small model for one job What this lesson is about Match the model to the job and the machine you actually have, not to a public score list.
You need something that sorts Hindi customer messages into three kinds, and you have one old computer. What decides your choice?
A Pick the one at the top of a public list of scores, because that list is tested. B Match the model to the job and to the machine you really have. C Pick the smallest model that runs on the old computer, whatever languages it was taught.
Check my recall Why this matters The model card template asks for the languages a model handles and the least hardware it needs. For Indian-language work the language line decides everything else. One worked pick, read on 14 Sep 2026. Llama 3.2 1B has 1.23 billion parameters, the numbers inside it. Its card lists Hindi among eight supported languages. At full 16-bit width the file is 2,358 MB. A free Colab notebook's T4 card holds 16 GB, so that fits with room to spare. Those three lines, size, memory and language, are the whole comparison.
You can choose a small model for one job by size, memory and language, not by fame.
The model card template asks for the languages a model handles and the least hardware it needs. For Indian-language work the language line decides everything else. One worked pick, read on 14 Sep 2026. Llama 3.2 1B has 1.23 billion parameters, the numbers inside it. Its card lists Hindi among eight supported languages. At full 16-bit width the file is 2,358 MB. A free Colab notebook's T4 card holds 16 GB, so that fits with room to spare. Those three lines, size, memory and language, are the whole comparison.
Match the model to the job and to the machine you really have. Size, memory needed, and the languages it was taught on decide the choice. A top spot on somebody's list is not evidence; your own ten examples are. Task You need a model that sorts Hindi customer messages into three kinds.
Weak approach Picking the largest model at the top of a public list of English tests, and never opening its card. The old computer runs out of memory before the first message is read.
Stronger approach Opening the cards of two small models that name Hindi. One is Llama 3.2 1B, read on 14 Sep 2026. Its card says 1.23 billion parameters, Hindi listed, 2,358 MB at full width. Then running your own ten messages through both.
Why the stronger approach works The English score said nothing about Hindi. Ten of your own messages did.
Try a changed situation Your cousin wants to buy a second-hand printer for a small photocopy shop in a town with frequent power cuts. What decides it?
Make something yourself Compare three small models for one job. For each, write the size, the memory it needs, and its languages. Then say which one you picked and why.
Lesson 2 of 8 on Open models on a small budget next Run a model on a free machine Part 1 ends in a work sample you can send
Read the primary or official source: Hugging Face Hub · Annotated model card