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AI 模型 84759

• Huihui-Qwen3.8-27B-abliterated-Q4_K_M-GGUF↗

  mitkox

• Qwen3.6-35B-A3B-6bit↗

  mlx-community

• Qwen3.8-27B-MTP-8bit↗

  mlx-community

• whisper-medium-mlx-4bit↗

  mlx-community

• deberta-v3-base-zeroshot-v1.1-all-33↗

  MoritzLaurer

  The model is designed for zero-shot classification with the Hugging Face pipeline. The model can do one universal classification task: determine whether a hypothesis is "true" or "not true" given a text (`entailment` vs. `not_entailment`). This task format is based on the Natural Language Inference task (NLI). The task is so universal that any classification task can be reformulated into this task. A detailed description of how the model was trained and how it can be used is available in this paper.

• AgoraMix-14B-v0.2-i1-GGUF↗

  mradermacher

• alduin-4b-it-base-i1-GGUF↗

  mradermacher

• ATPO-G-Qwen3-VL-8B-GGUF↗

  mradermacher

• CharTool-7B-i1-GGUF↗

  mradermacher

• dolphin-email-8b-i1-GGUF↗

  mradermacher