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AI 모델 84757

• addis-scribe-streaming↗

  addisai

• experimental_merge_241026_v1↗

  alansmithee-cpu

• Qwen_Qwen3-1.7B-GGUF↗

  Alcoft

• OLMo 2 7B↗

  Allen Institute for AI

• OLMo-7B-0724-Instruct-hf↗

  allenai

• GLM-5.2-MXFP4↗

  amd

  - **Model Architecture:** GLM-5.2 - **Input:** Text - **Output:** Text - **Supported Hardware Microarchitecture:** AMD MI350/MI355 - **ROCm:** 7.0.0 - **PyTorch:** 2.9.0 - **Transformers:** 5.8.1 - **Operating System(s):** Linux - **Inference Engine:** SGLang/vLLM - **Model Optimizer:** AMD-Quark (V0.11) - **Weight quantization:** MOE-only (shared experts quantized), OCP MXFP4, Static - **Activation quantization:** MOE-only, OCP MXFP4, Dynamic This model was built with GLM-5.2 model by applying AMD-Quark for MXFP4 quantization. The model was quantized from zai-org/GLM-5.2 using AMD-Quark. The weights and activations are quantized to MXFP4.

• MioCodec-25Hz-44.1kHz-v2↗

  Aratako

  **MioCodec-25Hz-44.1kHz-v2** is an upsampled, high-fidelity version of the MioCodec-25Hz-24kHz model. By integrating an **UpsamplerBlock** inspired by Inworld TTS-1 into the decoder, this model reconstructs 44.1 kHz audio from the standard 25 Hz token stream. This model is a fine-tuned version of `MioCodec-25Hz-24kHz` with the following architectural enhancements:

• Silero-VAD-v5-CoreML↗

  aufklarer

• Qwen3.8-Flash-Next-Uncensored-GGUF↗

  axi0mX

• Tesslate_Tessa-T1-7B-GGUF↗

  bartowski