This 278M Telugu Model Is CRAZY Good... I Tested It On My Laptop

Vemana-Base is a 278M-parameter Telugu base model from Udgam Labs. I run it locally on an RTX 4060, break it, and re-score its headline claim on 60 brand-new Telugu Wikipedia pages. Chapters 0:00 The claim and the Telugu problem 0:34 Who made Vemana, and what a base model is 1:09 The tokenizer: pieces per Telugu word 2:09 Architecture, training run, data 3:28 How Udgam Labs tests it (fresh pages, bits per byte) 4:13 Their results, and where Sarvam-1 is level 5:01 My laptop test: the transformers error, the fix, real generations 7:46 Speed and memory 8:10 My own mini-benchmark (60 pages) 9:09 Multiple-choice tests (near chance) 9:34 Verdict Links Model: https://huggingface.co/udgamlabs/Vemana-Base Technical report: https://udgamlabs.com/research/vemana Cheap, reliable GPUs: RunPod: https://get.runpod.io/pe48 Honesty notes: report figures are Udgam Labs' own measurements; my test used 2 models and 60 pages and does not verify their whole table. English glosses of Telugu output are my rough translations. Short muted clips from "Tella Cheera Tella Raika" (Vali Tunes) are used as comedy cutaways, as commentary. Get GPUs Runpod: https://get.runpod.io/pe48 Get Hostinger: https://www.hostg.xyz/SHJiu Coupon Code "PROMPT" 10% discount 🔗 Connect with me: Email → [email protected] Ko-fi → https://ko-fi.com/promptengineer Patreon → https://www.patreon.com/PromptEngineer975 Book a Call → https://calendly.com/prompt-engineer48/call GitHub → https://github.com/PromptEngineer48 Twitter/X → https://twitter.com/prompt48 Website → https://promptengineer48.com/