Home
Models · 11 releases

Models

Every model Udgam Labs has released, newest first. Each has its own page with results, examples and where it falls short. The full write-ups are in Research. Nine of them also run as tools for AI agents such as Claude, Codex and Cursor, through our MCP server.

Hindi transliterator · 30 Oct 2026

Lekhani

Type Hindi in Latin letters and get Devanagari, in a 0.87 MB download that runs on your own device.

  • 0.87 MB
  • Runs in the browser
  • Apache-2.0

Model page

Text to video · 28 Oct 2026

Drishya Tiny

Makes 2-second 256×256 clips from a sentence. A research release: about $21 of GPU time, every failure included.

  • 212M generator
  • 15 h on one L40S
  • CC BY-NC 4.0 weights

Model page

Telugu language model · 27 Oct 2026

Vemana

A Telugu base model trained live in public. On fresh Telugu text, the best open base model under 1B that we tested.

  • 278M parameters
  • About 16 h on one H100
  • Apache-2.0

Model page

Chat model · 22 Oct 2026

Laghu

A small English chat model with a thinking switch, trained from scratch for $146 and released with everything open.

  • 152M parameters
  • $146 pretraining run
  • Apache-2.0

Model page

Speech to text · 19 Oct 2026

Shruti

Writes down Hindi, English and Hinglish, offline, on a phone or in the browser. English words stay in English.

  • 29.5 MB
  • Runs in the browser
  • Apache-2.0

Model page

Language model · 17 Oct 2026

Gargi

A small English language model that thinks step by step on maths problems and runs comfortably on a laptop.

  • 384M parameters
  • ≈17B training tokens
  • Apache-2.0

Model page

Maths word problems · 16 Oct 2026

Lilavati

Solves maths word problems by writing a short Python program and running it.

  • 95M parameters
  • GSM8K 54.7% first try
  • Apache-2.0

Model page

Text to image · 12 Oct 2026

Chitra Tiny

Makes 256×256 pictures from an English sentence, on a laptop in about three seconds per image.

  • 212M parameters
  • 256×256
  • Apache-2.0

Model page

On-device tool calling · 10 Oct 2026

Udgam-384M

Turns requests into function calls, documents into JSON and tasks into shell commands, on the device itself.

  • 384M parameters
  • Context 4,096 tokens
  • Apache-2.0

Model page

Research release · 29 Sept 2026

Udgam English 125M

A small English model trained from random weights. It missed its performance target, and we published the full results.

  • 125M parameters
  • Context 2,048 tokens
  • Target missed

Model page

Fine-tuned adapter · 22 Sept 2026

Udgam Hinglish Commands

Turns short English and Romanized Hinglish requests into a structured intent and details an app can use.

  • LoRA on Qwen3-0.6B
  • 54.88% vs 9.90% base
  • 8 command domains

Walkthrough