Laghu: a 152M chat model trained from scratch for $146. Everything is open.
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Lekhani: a 0.87 MB Hindi transliterator (type Hindi in Latin letters, get Devanagari) that runs in your browser, on your own device.
Vemana: a 278M Telugu base model trained from scratch, live in public, for about $69. Weights, checkpoints, GGUF and demo.
Offline speech-to-text, one ~30 MB model per language, each with English: Shruti Hindi and Shruti Marathi. Phone, laptop or browser.
384M English model trained from scratch on ~17B tokens. Thinks step by step, holds a conversation, reads ~16K tokens. Apache-2.0.
Text-to-image models trained from scratch by UdgamLabs. Chitra (चित्र) means "picture".
Our first releases, kept public for transparency, including negative results.
212M video generator trained from scratch (frozen Wan2.2 VAE, Flan-T5-Base). 2-second 256×256 clips from text, or text plus a first frame.
Laghu: a 152M chat model trained from scratch for $146. Weights, checkpoints, data, evals and demo.
Tests and open data for small language models. Scoring code: github.com/udgamlabs/udgam-evals
Solves English maths word problems by writing a short Python program and running it. Trained from scratch; runs on a laptop CPU.
English on-device models for tool calling, trained from scratch. 384M parameters; run in Ollama, LM Studio, llama.cpp and MLX.
Lekhani: a 0.87 MB Hindi transliterator (type Hindi in Latin letters, get Devanagari) that runs in your browser, on your own device.
212M video generator trained from scratch (frozen Wan2.2 VAE, Flan-T5-Base). 2-second 256×256 clips from text, or text plus a first frame.
Vemana: a 278M Telugu base model trained from scratch, live in public, for about $69. Weights, checkpoints, GGUF and demo.
Laghu: a 152M chat model trained from scratch for $146. Weights, checkpoints, data, evals and demo.
Offline speech-to-text, one ~30 MB model per language, each with English: Shruti Hindi and Shruti Marathi. Phone, laptop or browser.
Tests and open data for small language models. Scoring code: github.com/udgamlabs/udgam-evals
384M English model trained from scratch on ~17B tokens. Thinks step by step, holds a conversation, reads ~16K tokens. Apache-2.0.
Solves English maths word problems by writing a short Python program and running it. Trained from scratch; runs on a laptop CPU.
Text-to-image models trained from scratch by UdgamLabs. Chitra (चित्र) means "picture".
English on-device models for tool calling, trained from scratch. 384M parameters; run in Ollama, LM Studio, llama.cpp and MLX.
Our first releases, kept public for transparency, including negative results.