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AI 모델 85003

• mmBERT-small↗

  jhu-clsp

  > TL;DR: A state-of-the-art multilingual encoder trained on 3T+ tokens across 1800+ languages, introducing novel techniques for learning low-resource languages during the decay phase. mmBERT is a modern multilingual encoder that significantly outperforms previous generation models like XLM-R on classification, embedding, and retrieval tasks. Built on the ModernBERT architecture with novel multilingual training innovations, mmBERT demonstrates that low-resource languages can be effectively learned during the decay phase of training. It is also significantly faster than any previous multilingual encoder. - Highlights - Quick Start - Model Description - Novel Training Innovations - Model Family - Training Data - Usage Examples - Fine-tuning Examples - Model Architecture - Citation

• GLM-4-32B-0414-DASHQ-Q2-GGUF↗

  jkim96

• Hermes-4-70B-MLX-6bit↗

  lmstudio-community

  _👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord_. **Model creator**: NousResearch **Original model**: Hermes-4-70B **MLX quantization**: provided by LM Studio team using mlx_lm 🙏 Special thanks to the Apple Machine Learning Research team for creating MLX.

• Hammer2.1-0.5b↗

  MadeAgents

• nesso3-0.4B-agentic↗

  mii-llm

• mathstral-7B-v0.1-llamafile↗

  mozilla-ai

• airoboros-dpo-70b-3.3-i1-GGUF↗

  mradermacher

• AnyGPT-base-GGUF↗

  mradermacher

• AuroraCap-7B-IMG-xtuner-GGUF↗

  mradermacher

• CIA-1.7B-i1-GGUF↗

  mradermacher