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AI 모델 84760

• Qwen3.8-2.4T-A95B-NVFP4↗

  Inferact

• QI-neural-chat-7B-ko-DPO-GGUF↗

  joongi007

• boreal-flux-dev-v2↗

  kudzueye

• Spark-X2.5-GGUF↗

  lainlives

• bilingual-embedding-small↗

  Lajavaness

  Bilingual-embedding is the Embedding Model for bilingual language: french and english. This model is a specialized sentence-embedding trained specifically for the bilingual language, leveraging the robust capabilities of Multilingual-MiniLM-L12-H384, a pre-trained language model is built upon multilingual-e5 architecture. The model utilizes MiniLM to encode english-french sentences into a 384-dimensional vector space, facilitating a wide range of applications from semantic search to text clustering. The embeddings capture the nuanced meanings of english-french sentences, reflecting both the lexical and contextual layers of the language. @article{conneau2019unsupervised, title={Unsupervised cross-lingual representation learning at scale}, author={Conneau, Alexis and Khandelwal, Kartikay and Goyal, Naman and Chaudhary, Vishrav and Wenzek, Guillaume and Guzm{\'a}n, Francisco and Grave, Edouard and Ott, Myle and Zettlemoyer, Luke and Stoyanov, Veselin}, journal={arXiv preprint arXiv:1911.02116}, year={2019} } @article{reimers2019sentence, title={Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks}, author={Nils Reimers, Iryna Gurevych}, journal={https://arxiv.org/abs/1908.10084}, year={2019} }

• legal-roberta-large↗

  lexlms

• K-EXAONE-236B-A23B-GGUF↗

  LGAI-EXAONE

• llm-jp-3-1.8b-instruct↗

  llm-jp

• MS3.2-PaintedFantasy-v4.1-24B-ultra-uncensored-heretic-v1-GGUF↗

  llmfan46

• gemma-3n-E4B-it-MLX-bf16↗

  lmstudio-community

  *👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** google **Original model**: gemma-3n-E4B-it **MLX quantization:** provided by LM Studio team using mlx_vlm Original bfloat16 version of gemma-3n-E4B-it using MLX, optimized for Apple Silicon.