Morning Edition · Tuesday, July 14, 2026Published at 1:33 AM EDT · New York
Bilibili Releases Index-1.9B, a Small Open Model Trained on 2.8 Trillion Tokens
The four-model series carries 1.9 billion non-embedding parameters and targets a size that runs on consumer hardware, extending China's downloadable-weight stack.
The video platform Bilibili published a technical report for Index-1.9B, a series of open small language models with 1.9 billion non-embedding parameters pre-trained on 2.8 trillion tokens of predominantly Chinese and English text. The seri…
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Part of a tracked trend
Chinese Open-Weight Models Emerge as the Non-US AI Stack
As Washington restricts foreign access to US frontier models, governments and enterprises cut off from American AI increasingly standardize on downloadable Chinese open-weight models, splitting the world into competing AI supply blocs rather than a single frontier.
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