BRIEF DETAILS: A Long-T5 model fine-tuned for scientific text simplification, specializing in converting complex research papers into lay-friendly summaries. ROUGE-1: 49.15
Brief-details: MS Paint-style image generation model that intentionally creates "bad" artwork, perfect for meme-like and nostalgic digital art aesthetics
BRIEF DETAILS: NVIDIA's quantized 8B parameter LLaMA model optimized for FP8 precision, offering 1.3x speedup on H100 GPUs while maintaining strong performance across benchmarks.
Brief Details: SDXL LoRA model that applies Studio Ghibli-style artistic effects with adjustable strength (-3 to +3), optimized for SDXL pipeline integration.
Brief-details: Cross-encoder reranking model based on ELECTRA, optimized for text ranking tasks. Specializes in reordering passages for retrieve-rerank pipelines.
Brief Details: Japanese-optimized AI VTuber assistant based on Gemma-3B-4B, specialized in multi-turn conversations with personality traits and image understanding capabilities.
BRIEF-DETAILS: BERT-based NER model specialized for trip planning, extracting origin, destination & transport mode from natural language queries. Ideal for travel apps.
Brief-details: BlackSheep-24B is a 24B parameter LLM known for high willingness scores (9.5/10) and specialized layers 6-20, designed for controlled hallucinations and alignment research.
Brief-details: Spanish clinical language model built on RigoBERTa 2, trained on ClinText-SP corpus (26M tokens). Optimized for medical NLP tasks with state-of-the-art performance.
Brief Details: Gemma 3 1B quantized model optimized for inference, featuring 4-bit precision, multimodal capabilities, and 32K context window.
Brief-details: An AI model hosted by omar07ibrahim on Hugging Face, with limited public information available. Purpose and capabilities require further documentation.
Brief-details: A fine-tuned variant of TinyLlama optimized for 2x faster performance using Unsloth and TRL library, developed by omar07ibrahim under Apache-2.0 license.
Brief-details: A TinyLlama variant finetuned using Unsloth and TRL libraries, offering 2x faster training while maintaining LLaMA architecture capabilities
Brief-details: A variant of the Orca language model hosted on HuggingFace by omar07ibrahim, designed for natural language processing tasks and conversation.
Brief-details: Azerbaijani language model based on NLLB (No Language Left Behind) architecture, developed by omar07ibrahim for machine translation tasks.
Brief-details: Tesslate's 32B parameter model with multiple GGUF quantizations, offering flexible deployment options from 9GB to 65GB with varying quality-size tradeoffs
BRIEF DETAILS: Quantized 8B parameter instruction-tuned LLM from Yandex, optimized for GGUF format, featuring custom dialogue template and server/interactive modes
Brief-details: Qwen2.5-VL-3B is a versatile vision-language model offering advanced visual understanding, video processing, and agent capabilities in a compact 3B parameter format
Brief Details: Video-R1-7B is a 7B parameter model focused on video reasoning capabilities in Multi-modal Large Language Models (MLLMs) for enhanced video understanding.
Brief-details: A 32B parameter vision-language model optimized for 4-bit quantization, featuring enhanced mathematical reasoning, video understanding, and structured output capabilities.
BRIEF DETAILS: A sophisticated 70B parameter LLaMA merge combining 20 specialized models, focused on uncensored output, intelligence, creative writing, and roleplay capabilities. Notable for its DARE TIES merge methodology.
