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AI Models 84759

• llmae-qwen-0.5b-s2↗

  arkanathp

• lebanese-llama-3.1-8b↗

  assix-research

• finance-sentiment-de-base↗

  bardsai

• cognitivecomputations_Dolphin-Mistral-24B-Venice-Edition-GGUF↗

  bartowski

  Original model: https://huggingface.co/cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition All quants made using imatrix option with dataset from here Run them directly with llama.cpp, or any other llama.cpp based project

• Krea-2-Engineer-V1-GGUF↗

  BennyDaBall

• Wan2.1-T2V-14B-gguf↗

  city96

  This is a direct GGUF conversion of Wan-AI/Wan2.1-T2V-14B All quants are created from the FP32 base file, though I only uploaded FP16 due to it exceeding the 50GB max file limit and gguf-split loading not currently being supported in ComfyUI-GGUF. The model files can be used with the ComfyUI-GGUF custom node.

• Mage-Flow↗

  Comfy-Org

  Mage-Flow-Edit Turbo: Image Edit Before After Mage-Flow-Edit: Image Edit Before After Mage-Flow Turbo: Text to Image Mage-Flow: Text to Image

• gemma-4-26B-A4B-Claude-Opus-4.7-QAT-Q4_0-Heretic-GGUF↗

  DFveloper

• SmolDocling-256M-preview↗

  docling-project

  📢 New Release: We’ve released granite-docling-258M , the successor to SmolDocling . It will now receive updates and support, check it out! SmolDocling-256M-preview SmolDocling is a multimodal Image-Text-to-Text model designed for efficient document conversion. It retains Docling's most popular features while ensuring full compatibility with Docling through seamless support for DoclingDocuments . This model was presented in the paper SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion.

• dolphin-2.9.2-Phi-3-Medium-abliterated↗

  dphn

  Curated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations Uncensored by FailSpy Our appreciation for the sponsor of Dolphin 2.9.2: - Crusoe Cloud - provided excellent on-demand 8xL40Snode This model is based on Phi-3-Medium-Instruct-4k, and is governed by the MIT license with which Microsoft released Phi-3.