AI Model Library: LLMs, Agents & Dev Tools
Curated reviews of mainstream AI models, agents, and dev tools — capabilities, use cases, and how they compare.
Tag: LLM
72 article(s) found · Clear tag
Ling-3.0-tiny – Ant Ling's Native Hybrid Inference Model
Ling-3.0-tiny is a native hybrid inference model introduced by the Ant Ling team, utilizing a sparse mixture-of-experts architecture (MoE). With a total of 7.9B parameters, it activates only 1.3B para...
Hy ASR 3.0 Preview – The New Generation Speech Recognition Model from Tencent Hunyuan
Hy ASR 3.0 Preview is a new generation speech recognition model launched by Tencent Hunyuan, built upon the Hy3 large language model and employing a Mixture of Experts (MoE) architecture. It integrate...
MemHarness – A Memory Reconstruction Framework for LLM Agents Introduced by the Shanghai AI Lab and Others
MemHarness is a memory reconstruction framework for LLM Agents introduced jointly by the Shanghai Artificial Intelligence Lab and universities such as Zhejiang University, Fudan University, and Shangh...
Qwen-CUA – The Native Computer Use Agent Introduced by Alibaba Qwen and Others
Qwen-CUA is a native Computer Use Agent introduced jointly by the Qwen team and XLang Lab. Based on a 397B-A17B Mixture-of-Experts (MoE) architecture, it perceives the interface state solely through s...
PerceptionBench – Moonshot AI's Open-Source Visual Perception Diagnostic Benchmark
PerceptionBench is an open-source visual perception diagnostic benchmark launched by Moonshot AI, focusing on fine-grained evaluation of atomic-level visual perception capabilities. Starting from the ...
Instella-MoE – AMD's Open-Source Mixture-of-Experts Language Model Series
Instella-MoE is AMD's open-source Mixture-of-Experts (MoE) language model series, with a total parameter count of 16B and an activated parameter count of 2.8B. It employs a 27-layer decoder architectu...
BigMac – Xiaohongshu's Open-Source Framework for Pipeline-Parallel Training of Multimodal Large Models
BigMac is an open-source pipeline-parallel training framework for multimodal large models developed by the dots infra team at Xiaohongshu. It aims to address the fundamental contradiction between comp...
Claude Opus 5 – Anthropic's Latest Flagship Model
Claude Opus 5 is a flagship large language model released by Anthropic in 2025, positioned as a high-value option with "near-frontier intelligence at about half the cost." Under the same cost structur...
SciReasoner – A Multimodal Foundation Model for Scientific Reasoning Developed by the Shanghai AI Lab and Others
SciReasoner is a new-generation multimodal foundation model for scientific reasoning, jointly developed by the Shanghai Artificial Intelligence Laboratory with teams from the Chinese University of Hon...
Colibrì – Open-Source Lightweight Local Inference Engine with Hierarchical Storage
Colibrì is an open-source lightweight local inference engine designed to run ultra-large-scale MoE (Mixture of Experts) models on consumer-grade hardware. It can operate the flagship GLM-5.2 model wit...
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