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AI Models 84757

• Smaug-Mini↗

  abacusai

• ModernBERT-base-reference_AllLang2-Cefr2↗

  AbdullahBarayan

• olmOCR-7B-0825-FP8↗

  allenai

  Quantized to FP8 Version of olmOCR-7B-0825, using llmcompressor. This is a release of the olmOCR model that's fine tuned from Qwen2.5-VL-7B-Instruct using the olmOCR-mix-0225 dataset. Quick links: - 📃 Paper - 🤗 Dataset - 🛠️ Code - 🎮 Demo

• Llama-3-11b-Instruct↗

  athirdpath

• gemma-4-31B-it-GGUF↗

  AtomicChat

  **Gemma 4 31B**, self-quantized to GGUF by Atomic Chat. Built straight from Google's original weights with a per-tensor importance matrix, so this is not a repack of somebody else's files. Runs fully offline. > [!NOTE] > These GGUFs are **self-quantized from the original weights**, not a repack. The importance matrix keeps low-bit quants closer to the full-precision model. > [!IMPORTANT] > Always pass `--jinja` so the **Gemma 4 31B chat template** is applied. Without it the model can emit malformed turns.

• AltCLIP-m18↗

  BAAI

• Fimbulvetr-11B-v2-GGUF↗

  backyardai

• burtenshaw_GemmaCoder3-12B-GGUF↗

  bartowski

• Dolphin3.0-Llama3.2-3B-GGUF↗

  bartowski

  Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (Dolphin3.0-Llama3.2-3B-Q8_0) or download them all in place (./)

• Llama-3-Hercules-5.0-8B-GGUF↗

  bartowski