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AI モデル 84757

• zephyr-7B-beta-GGUF↗

  TheBloke

  GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. These quantised GGUFv2 files are compatible with llama.cpp from August 27th onwards, as of commit d0cee0d They are also compatible with many third party UIs and libraries - please see the list at the top of this README.

• vit_large_patch14_clip_336.laion2b_ft_in12k_in1k↗

  timm

• minimalclass-lokr-flux↗

  toxicwind

• GLM-5.3-EXL3-3.38bpw↗

  vcruz305

• universa-ext_wavlm-base_5metric↗

  vvwangvv

• qwen2.5-vl-3b-instruct↗

  wangkanai

• Qwen3.8-27B-GGUF↗

  wuji2006

• distilbert-base-uncased-finetuned-sst-2-english↗

  Xenova

  https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english with ONNX weights to be compatible with Transformers.js. If you haven't already, you can install the Transformers.js JavaScript library from NPM using: Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).

• Qwen3.5-4B-Claude-3xMerge-Jackrong↗

  xtools-at

• opt-350m-lora↗

  ybelkada