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AI 模型 84759

• OpenMed-NER-ProteinDetect-ModernMed-149M↗

  OpenMed

  **Specialized model for Biomedical Entity Recognition - Various biomedical entities** This model is a **state-of-the-art** fine-tuned transformer engineered to deliver **enterprise-grade accuracy** for biomedical entity recognition - various biomedical entities. This specialized model excels at identifying and extracting biomedical entities from clinical texts, research papers, and healthcare documents, enabling applications such as **drug interaction detection**, **medication extraction from patient records**, **adverse event monitoring**, **literature mining for drug discovery**, and **biomedical knowledge graph construction** with **production-ready reliability** for clinical and research applications. - **High Precision**: Optimized for biomedical entity recognition - **Domain-Specific**: Trained on curated FSU dataset - **Production-Ready**: Validated on clinical benchmarks - **Easy Integration**: Compatible with Hugging Face Transformers ecosystem

• distilbert-base-uncased-finetuned-sst-2-english↗

  optimum

• phi-3.5-mini-instruct-random-s30-pia↗

  plawanrath

• bert-medium↗

  prajjwal1

  The following model is a Pytorch pre-trained model obtained from converting Tensorflow checkpoint found in the official Google BERT repository. This is one of the smaller pre-trained BERT variants, together with bert-tiny, bert-mini and bert-small. They were introduced in the study `Well-Read Students Learn Better: On the Importance of Pre-training Compact Models` (arxiv), and ported to HF for the study `Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics` (arXiv). These models are supposed to be trained on a downstream task. Other models to check out: - `prajjwal1/bert-tiny` (L=2, H=128) Model Link - `prajjwal1/bert-mini` (L=4, H=256) Model Link - `prajjwal1/bert-small` (L=4, H=512) Model Link

• Ternary Bonsai 2 9B↗

  prism-ml

  Ternary Bonsai 2 9B 是 PrismML 面向对话式 AI、推理和工具使用的紧凑型开放权重语言模型。它基于 Qwen3.5 构建，采用二值化权重并以 2 位进行打包，以实现高效的……

• deepseek-coder-1.3B-kexer-GGUF↗

  QuantFactory

• Qwen3-235B-A22B-MLX-4bit↗

  阿里巴巴 · Qwen

• RLVR-Qwen2.5-Math-1.5B↗

  relex-rlvr

• meta-llama_-_CodeLlama-34b-Python-hf-gguf↗

  RichardErkhov

• Grok 4↗

  SpaceXAI