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AI Models 84759

• all-hands.openhands-lm-1.5b-v0.1-GGUF↗

  DevQuasar-11

• distilbert-base-multilingual-cased↗

  distilbert

  1. Model Details 2. Uses 3. Bias, Risks, and Limitations 4. Training Details 5. Evaluation 6. Environmental Impact 7. Citation 8. How To Get Started With the Model This model is a distilled version of the BERT base multilingual model. The code for the distillation process can be found here. This model is cased: it does make a difference between english and English. The model is trained on the concatenation of Wikipedia in 104 different languages listed here. The model has 6 layers, 768 dimension and 12 heads, totalizing 134M parameters (compared to 177M parameters for mBERT-base). On average, this model, referred to as DistilmBERT, is twice as fast as mBERT-base.

• NVIDIA-Nemotron-3.5-Bolt-74B-A9B-MLX-8bit↗

  divinetribe

• Qwythos-27B-v1↗

  empero-ai

• Huihui-Qwen3-VL-4B-Instruct-abliterated-mlx↗

  EZCon

• MobileLLM-R1-140M-base↗

  facebook

• multi-qa_v1-MiniLM-L6-cls_dot↗

  flax-sentence-embeddings

• nor-100mb-after-wc-uniform-newlex-before-ckpt500-packed-bfdiso_seed455↗

  francesca9805

• fsmn-vad-GGUF↗

  FunAudioLLM

• vqgan-dummy↗

  fusing