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AI 模型 85003

• qwen3.5-plus-2026-02-15↗

  阿里巴巴 · Qwen

  阿里巴巴于2026年2月16日发布了Qwen3.5-Plus模型。该模型的总参数量为3970亿（397B），其中激活参数为170亿 [2-3]。在多项基准测试中，其表现与Gemini-3-pro、GPT-5.2等模型相近。该模型采用了四项核心架构创新。其训练成本与算力部署成本相较于Qwen3-Max有所降低，推理吞吐量在256K长文本下有所提升

• Crow_Qwen9B_OpusUCH↗

  Babsie

• BlackSheep-Mistral-RP-7B-GGUF↗

  bartowski

• Rombo-Org_Rombo-LLM-V3.0-Qwen-32b-GGUF↗

  bartowski

• SpatialAxiom_SpatialAxiom-9B-GGUF↗

  bartowski

• Gemma-4-E4B-it-NVFP4↗

  bg-digitalservices

• ltxv-gguf↗

  biali

• bluebert_pubmed_mimic_uncased_L-12_H-768_A-12↗

  bionlp

  We provide preprocessed PubMed texts that were used to pre-train the BlueBERT models. The corpus contains ~4000M words extracted from the PubMed ASCII code version. This work was supported by the Intramural Research Programs of the National Institutes of Health, National Library of Medicine and Clinical Center. This work was supported by the National Library of Medicine of the National Institutes of Health under award number 4R00LM013001-01. This tool shows the results of research conducted in the Computational Biology Branch, NCBI. The information produced on this website is not intended for direct diagnostic use or medical decision-making without review and oversight by a clinical professional. Individuals should not change their health behavior solely on the basis of information produced on this website. NIH does not independently verify the validity or utility of the information produced by this tool. If you have questions about the information produced on this website, please see a health care professional. More information about NCBI's disclaimer policy is available.

• storyboard-sketch↗

  blink7630

• salamandra-2b↗

  BSC-LT