サイト内検索

AI モデル 84757

• opus-mt-mk-en↗

  Helsinki-NLP

• Qwen2.5-VL-7B-Instruct-GPTQ-Int4↗

  hfl

  This is an **UNOFFICIAL** GPTQ-Int4 quantized version of the `Qwen2.5-VL` model using `gptqmodel` library. The model is compatible with the latest `transformers` library (which can run non-quantized Qwen2.5-VL models). Response: > 这张图片展示了一个中文和英文的标志，内容为“中文LLaMA & Alpaca大模型”和“Chinese LLaMA & Alpaca Large Language Models”。标志左侧有两个卡通形象，一个是红色围巾的羊驼，另一个是白色毛发的羊驼，背景是一个绿色的草地和一座红色屋顶的建筑。标志右侧有一个数字3，旁边有一些电路图案。整体设计简洁明了，使用了明亮的颜色和可爱的卡通形象来吸引注意力。

• hibou-L↗

  histai

• whisper-large-v3-eu↗

  HiTZ

• Huihui-GLM-4.7-Flash-abliterated↗

  huihui-ai

• HunyuanImage-2.1↗

  腾讯

• vitmatte-base-composition-1k↗

  hustvl

  ViTMatte model trained on Composition-1k. It was introduced in the paper ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers by Yao et al. and first released in this repository. Disclaimer: The team releasing ViTMatte did not write a model card for this model so this model card has been written by the Hugging Face team. ViTMatte is a simple approach to image matting, the task of accurately estimating the foreground object in an image. The model consists of a Vision Transformer (ViT) with a lightweight head on top.

• GneissWeb.7B_ablation_model_on_350B_GneissWeb.seed2↗

  ibm-granite

• mixtral-instruct-8x7b-quantized-gguf↗

  ikawrakow

• XLM-Roberta-Large-Vit-B-16Plus↗

  immich-app