Model overview
**Youtu-LLM** is a new, small, yet powerful LLM, contains only 1.96B parameters, supports 128k long context, and has native agentic talents. On general evaluations, Youtu-LLM significantly outperforms SOTA LLMs of similar size in terms of Commonsense, STEM, Coding and Long Context capabilities; in agent-related testing, Youtu-LLM surpasses larger-sized leaders and is truly capable of completing multiple end2end agent tasks. **Youtu-LLM** has the following features: - Type: Autoregressive Causal Language Models with Dense MLA - Release versions: Base and Instruct - Number of Parameters: 1.96B - Number of Layers: 32 - Number of Attention Heads (MLA): 16 for Q/K/V - MLA Rank: 1,536 for Q, 512 for K/V - MLA Dim: 128 for QK Nope, 64 for QK Rope, and 128 for V - Context Length: 131,072 - Vocabulary Size: 128,256 > **Note:** The GGUF weights of Youtu-LLM-2B are available on the `GGUF` branch of this repository. Please specify the revision (`GGUF`) when downloading them:
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
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Estimate monthly base token costs
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Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
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Sources & traceability
许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。