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AI 模型 84757

• ReadyArt_Forgotten-Safeword-24B-3.6-GGUF↗

  bartowski

• Replete-LLM-Mist-Nemo-12b-test-merged-250k-GGUF↗

  bartowski

• GRASP↗

  caithmac

• Qwen3.5-122B-A10B-GM-E32-GGUF↗

  cgg507

• resnet18-eurosat↗

  cm93

• command-a-vision-07-2025↗

  Cohere

• bge-small-zh-v1.5-gguf↗

  CompendiumLabs

  Quantized and unquantized embedding models in GGUF format for use with `llama.cpp`. A large benefit over `transformers` is almost guaranteed and the benefit over ONNX will vary based on the application, but this seems to provide a large speedup on CPU and a modest speedup on GPU for larger models. Due to the relatively small size of these models, quantization will not provide huge benefits, but it does generate up to a 30% speedup on CPU with minimal loss in accuracy. Here `texts` can either be a string or a list of strings, and the return value is a list of embedding vectors. The inputs are grouped into batches automatically for efficient execution. There is also LangChain integration through `langchain_community.embeddings.LlamaCppEmbeddings`.

• prithivMLmods.Bootes-Xuange-Qwen-14B-GGUF↗

  csabakecskemeti

• periquito-3B-GGUF↗

  dagbs

• Z-Image-Turbo-FP8↗

  drbaph

  This is a quantization of Comfy-Org/z_image_turbo to FP8_E5M2 and FP8_E4M3FN ⚡️- Image An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Z-Image is a powerful and highly efficient image generation model with **6B** parameters. It is currently has three variants: