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Ever wanted a 27B model that runs on almost nothing? Meet Ternary Bonsai 2: a GGUF build squeezed into 2-bit ternary weights. Tiny footprint, huge brain energy. Perfect for local setups.
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20k+ downloads and counting. If you want a local LLM that's fast, tiny, and totally unfiltered, this is it. Grab the GGUF, fire up llama.cpp, and enjoy the freedom.
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Meet Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF: a 27B parameter model built on Qwen3.8, optimized for reasoning and token efficiency. With 22k+ downloads, it's making waves for its smart thinking and GGUF format.
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Top-tier because it balances size and speed: 27B params, token-efficient reasoning, and GGUF compatibility. 22k downloads and 73 likes show the community loves its practical power.
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Ever wished AI could write Nabati poetry that feels truly Saudi? Mawrooth-ALLaM-7B-LoRA is here! This 7B model fine-tuned with LoRA on Arabic poetry brings cultural heritage to life. A must-try for Arabic NLP fans.
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With 364 downloads, Mawrooth proves its value in the Arabic AI community. It's a top-tier model for Nabati poetry generation, blending modern AI with Saudi heritage. Try it for your next cultural project!
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Built on google/gemma-4-31B with 31B parameters. It uses the transformers library and safetensors format. The model card references an arXiv paper (2607.02770) and includes eval results, so you can check benchmarks before deploying.
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With 139 downloads and a permissive Apache 2.0 license, it's a practical choice for commercial projects. The eval-results tag signals transparent performance data. Try it for your next multimodal app.
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Meet gemma-4-31B-it-custom: a 31B image-text-to-text model fine-tuned from Google's Gemma 4. It handles conversations with images and text, all under Apache 2.0. A solid pick for multimodal builders.
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Use it for visual Q&A, image captioning, or building chatbots that see. The image-text-to-text pipeline means you feed it images plus text and get conversational replies. Great for assistants, accessibility tools, and more.
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