Unverified50% confidenceReleaseExact time
SenseTime open-sourced the multimodal model Sensnola Lube, with only 9 billion parameters, a maximum training sequence length of 260,000 tokens, and the ability to accept text and images and generate text.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/31/2026
First Seen
Valid until: 1/29/2027
Sources
OpenCode Gives Away $100 DeepSeek Credits: Subscription Arbitrage and Security Alerts Run Rampant
bilibili小心鸦Xxya10/31/2026
Related Entities
Related Claims
Unverified1M 上下文意味着模型可以一次性处理约 75 万个英文单词或数十万行代码64% similarVerifiedThe context window refers to the maximum text length a model can process in a single inference, measured in tokens, where 1,000 tokens is approximately equal to 750 English words or 500 Chinese characters.63% similarUnverifiedEmbeddingGemma 2 adopts a modular design, requiring a minimum of 270 million parameters for text-only tasks, with a 170 million parameter visual encoder and a 300 million parameter audio encoder available as optional components that can be enabled on demand.63% similarUnverified大语言模型的原生能力边界由训练数据的模态和格式决定，标准LLM的输入输出均为纯文本Token序列，天然无法处理PDF、DOCX、XLSX等二进制文件格式62% similarUnverifiedThe d1-3B model has about 3.1 billion parameters, is trained on the LFM2.5-VL-3B vision-language backbone, and supports text and image input.61% similar
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