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AI 모델 84759

• xmod-base-60-125k↗

  facebook

• swe-latn-100mb-after-ppt-mp-struct-100mb-ckpt500_seed10↗

  francesca9805

• Qwen3.8-Flash-Next-FP8-Abliterated-GGUF↗

  GCSA-AiLab

  Experimental changes to refusal behavior may alter safeguards. Validate outputs and safety measures before use; follow applicable laws and the Qwen Community License 1.0 upstream terms.

• embeddinggemma-300m-qat-q8_0-GGUF↗

  ggml-org

  Then the endpoint can be accessed at http://localhost:8080/embedding, for example using `curl`: When a model uses pooling, or the pooling method is specified using `--pooling`, the normalization can be controlled by the `embd_normalize` parameter. The default value is `2` which means that the embeddings are normalized using the Euclidean norm (L2). Other options are: * -1 No normalization * 0 Max absolute * 1 Taxicab * 2 Euclidean/L2 * \>2 P-Norm

• siglip2-so400m-patch16-512↗

  Google

  You can use the raw model for tasks like zero-shot image classification and image-text retrieval, or as a vision encoder for VLMs (and other vision tasks). For more code examples, we refer to the siglip documentation. 1. Decoder loss 2. Global-local and masked prediction loss 3. Aspect ratio and resolution adaptibility

• gorilla-openfunctions-v0-gguf↗

  gorilla-llm

• stable-diffusion-v3-5-medium-GGUF↗

  gpustack

• CHOCO-BRAIN-0.8B-v0.1↗

  hwihwalab

• granite-4.2-30b-q8-mlx↗

  ibm-granite

• CapRL-InternVL3.5-8B↗

  internlm