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AI 模型 84760

• qwen3-coder-plus-2025-07-22↗

  阿里巴巴 · Qwen

• amini-fm↗

  AminiTech

• AIST-87M-GGUF↗

  augmem

• CrucibleLab_L3.3-Dark-Ages-70b-v0.1-GGUF↗

  bartowski

• JetBrains-Qwen3.8-3.6-27B-blend-GGUF↗

  bartowski

  **Model details:** - Parameter count: 28B - 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 (17.44GB) - 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:

• pix2text-mfr-1.5↗

  breezedeus

  This MFR model utilizes the TrOCR architecture developed by Microsoft, starting with its initial values and retrained using a dataset of mathematical formula images. The resulting MFR model can be used to convert images of mathematical formulas into LaTeX text representation. More detailed can be found: Pix2Text V1.0 New Release: The Best Open-Source Formula Recognition Model | Breezedeus.com. 此 MFR 模型使用了微软的 TrOCR 架构，以其为初始值并利用数学公式图片数据集进行了重新训练。 获得的 MFR 模型可用于把数学公式图片转换为 LaTeX 文本表示。更多细节请见：Pix2Text V1.0 新版发布：最好的开源公式识别模型 | Breezedeus.com。 This method requires the installation of pix2text, utilizing the Mathematical Formula Detection model (MFD) within Pix2Text. It is capable of recognizing not only pure formula images but also mixed images containing text.

• Gemma-4-26B-MoE-GGUF↗

  CelesteImperia

• Qwen3.5-122B-A10B-GM-CoT-GGUF↗

  cgg507

• vev-4b↗

  CountingSheep

• bidirlm-omni-2.5b-GGUF↗

  cstr