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AI 模型 84759

• tiny-random-qwen3↗

  optimum-internal-testing

  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

• Ternary-Bonsai-2-27B-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS-MLX-Mixed-2-8bit↗

  PhillyLabs

• Mistral-Gutenberg-Doppel-7B-FFT-GGUF↗

  QuantFactory

• Qwen-1_8B-Chat-Int4↗

  阿里巴巴 · Qwen

• Qwen3 Omni 30B A3B (Reasoning)↗

  阿里巴巴 · Qwen

• roberta-base-on-cuad↗

  Rakib

  Read: An Open Source Contractual Language Understanding Application Using Machine Learning for detailed information on training procedure, dataset preprocessing and evaluation.

• Aspen77_-_llama-3-3b-instruct-extract-pii-gguf↗

  RichardErkhov

• phanerozoic_-_Tiny-Cowboy-1.1b-v0.1-gguf↗

  RichardErkhov

• trl-internal-testing_-_tiny-Qwen2ForCausalLM-2.5-Coder-gguf↗

  RichardErkhov

• wav2vec2-xls-r-300m-ftspeech↗

  saattrupdan

  This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the FTSpeech dataset, being a dataset of 1,800 hours of transcribed speeches from the Danish parliament. The use of this model needs to adhere to this license from the Danish Parliament.