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AI 모델 84760

• darkc0de_XORTRON-AgentRICO-GGUF↗

  bartowski

• GLM-5.3-Flash-BF16-GGUF↗

  bartowski

  **Model details:** - Parameter count: 321B (source checkpoint) - Input support: text, image (with mmproj file) - details - Speculative decoding: yes (MTP) - details - imatrix: yes - details **Don't know which to choose?** Grab Q4_K_M (200.83GB) - usually a good mix of size and performance. Download instructions available here The files marked `true` in the Split column above are stored as multiple parts in a folder. To download all the parts to a local folder, run:

• google_gemma-3-12b-it-GGUF↗

  bartowski

  All quants made using imatrix option with dataset from here Run them directly with llama.cpp, or any other llama.cpp based project This model has vision capabilities, more details here: https://github.com/ggml-org/llama.cpp/pull/12344

• LensVLM-9B-GGUF↗

  bartowski

  **Model details:** - Parameter count: 9B - Input support: text, image (with mmproj file) - details - Speculative decoding: no - imatrix: yes - details **Don't know which to choose?** Grab Q4_K_M (5.84GB) - usually a good mix of size and performance. Download instructions available here These quants were made with llama.cpp release b11081 - if this model's architecture is newly supported, you'll need that release or newer to run them.

• Nemomix-v2.0-12B-GGUF↗

  bartowski

• zai-org_GLM-4.5-GGUF↗

  bartowski

• messis↗

  crop-classification

• DumBot↗

  deepparag

• HuggingFaceH4.zephyr-7b-beta-GGUF↗

  DevQuasar-8

• Qwen-2.5-Coder-7B↗

  EasierAI