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AI 모델 84759

• NinjaMouse-2.4B-32L-danube-i1-GGUF↗

  mradermacher

• PromptEnhancer-32B-GGUF↗

  mradermacher

• Qwen2.5-Coder-32B-abliterated-i1-GGUF↗

  mradermacher

• Rocinante-XL-16B-v1-dehumidified-i1-GGUF↗

  mradermacher

• Tess-4.1-35B-A3B-i1-GGUF↗

  mradermacher

• Uni-MuMER-Qwen3-VL-2B-i1-GGUF↗

  mradermacher

• emma-3-GGUF↗

  MrMeOrYou

• nodelve_gemma_2_9b↗

  nagolinc

• nomic-embed-text-v2-moe↗

  nomic-ai

  This model was presented in the paper Training Sparse Mixture Of Experts Text Embedding Models. `nomic-embed-text-v2-moe` is a SoTA multilingual MoE text embedding model that excels at multilingual retrieval: - **High Performance**: SoTA Multilingual performance compared to ~300M parameter models, competitive with models 2x in size - **Multilinguality**: Supports ~100 languages and trained on over 1.6B pairs - **Flexible Embedding Dimension**: Trained with Matryoshka Embeddings with 3x reductions in storage cost with minimal performance degradations - **Fully Open-Source**: Model weights, code, and training data (see code repo) released

• whisper-large-v3-turbo↗

  OpenASR