Sapient open-sourced HRM-Text text generation model
The 1B parameter model achieves competitive benchmarks with data-efficient training and native edge reasoning.
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Brain-inspired artificial general intelligence developer
sapient.incLast updated
In short: Sapient Intelligence launched its brain-inspired HRM-Text reasoning model, achieving high performance at a fraction of traditional costs.
The 1B parameter model achieves competitive benchmarks with data-efficient training and native edge reasoning.
It features hierarchical latent-space reasoning, small-sample learning, and adaptive computation, achieving SOTA with 0.027B parameters.
Trained on 40B tokens, the 1.15B model performs competitively on benchmarks and is available as an open release.
The team, rooted in top universities and experienced at DeepMind and xAI, develops an alternative to current AI limits across three countries.
The launch of HRM-Text is potentially significant considering that training a foundational LLM from scratch costs millions of dollars and involves scraping internet-scale data.
Sapient Intelligence, an AGI research company, announces the launch of HRM-Text, an ultra-lean 1-billion-parameter reasoning language model, to deliver competitive reasoning and general performance without...
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