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AI モデル 85003

• 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

• TheDrummer_GLM-Steam-106B-A12B-v1-GGUF↗

  bartowski

• UI-TARS-72B-DPO-GGUF↗

  bartowski

• stable-diffusion-xl-anime-V5↗

  bdsqlsz

• bloom-560m↗

  bigscience

  BLOOM LM BigScience Large Open-science Open-access Multilingual Language Model Model Card 1. Model Details 2. Uses 3. Bias, Risks, and Limitations 4. Recommendations 5. Training Data 6. Evaluation 7. Environmental Impact 8. Technical Specifications 9. Citation 10. Glossary and Calculations 11. More Information 12. Model Card Authors 13. Model Card Contact *This section provides information for anyone who wants to know about the model.*