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AI 模型 84760

• Everos↗

  theomnira

• Falcon-H1-Tiny-90M-Base↗

  tiiuae

• resnet18.gluon_in1k↗

  timm

• Qwen3-Coder-30B-A3B-GeoRefine-C30-abl-GGUF↗

  Tsotchke-Corporation

• Swift-1.5-Qwen3.8-27b-NVFP4↗

  ukisai

  Website  •  Learn more  •  GGUF  •  GSQ-RCO GGUF  •  Evaluation  •  Enterprise licensing **NVIDIA NVFP4/FP8 mixed precision.** Derived directly from Swift 1.5 with NVIDIA ModelOpt. Run it with a ModelOpt-compatible runtime; native NVFP4 execution requires compatible NVIDIA Blackwell support. Swift 1.5 Qwen3.8-27B is UkisAI's reasoning-efficient derivative of Qwen3.8-27B. It uses **58.5% fewer thinking tokens** while scoring **0.35% higher** than the base, for a **9.18× speed-up** on several tasks.

• AceReason-Nemotron-14B-GGUF↗

  unsloth

• Ministral-3-3B-Reasoning-2512-bnb-4bit↗

  unsloth

• lisrd↗

  vismatch

• bge-small-zh-v1.5↗

  Xenova

  https://huggingface.co/BAAI/bge-small-zh-v1.5 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`).

• camembert-ner-with-dates↗

  Xenova