AI study assistant for CUET, Banking, and Commerce students, powered by the Tiny AI model
A tiny byte-level multi-head content classifier (~1.5M params, ~200KB ONNX, <6ms). Classifies code, text, markup, config, images, binary, secrets, 62 code languages, 30 text languages, 90 MIME types from raw bytes — no tokenizer needed.
Lekhani: a 0.87 MB Hindi transliterator (type Hindi in Latin letters, get Devanagari) that runs in the browser or Node, on your own device. By Udgam Labs.
An 184M-parameter monolingual decision engine delivering calibrated distributions from one 22ms forward pass while matching models 2.3x its size.
Fracast-0 is an 85K-parameter pretrained Time Series Foundation Model, small enough to load directly in a web page.
Developed and pre-trained a 20.39M-parameter Punjabi GPT-style base model from scratch, including corpus preparation, tokenizer training, benchmark evaluation, and text generation, using a cleaned Punjabi corpus and local Apple Silicon GPU acceleration.
手搓零训练「随机数」GGUF 模型：不管输入什么，只吐一个均匀随机数字然后自己停。0/1 · 0-9 · 0-100 三个版本 × F16/Q8_0/Q4_K_M/Q4_K_S/Q3_K_M/Q2_K 六档量化，18 个文件全部实测通过 χ² 均匀性检验。
Bio-inspired CNN modeling M/P/K pathways of the Lateral Geniculate Nucleus. From 76KB/15.5K params (33 FPS on Raspberry Pi) to full-scale and temporal variants. Matches ResNet18 with 52x fewer parameters. No pretraining required.
AI document generator powered by the Tiny AI model. Creates Word, PDF, PPTX, XLSX, and Markdown files completely client-side with real-time response streaming.
A tiny scorer that tells a big AI what it forgot to do. CPU-only, 1 core, ~1GB RAM. Not a language model.
Small Model Evaluation
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