Brief-details: Specialized 8B parameter German language model based on Llama3, trained on 65B high-quality tokens. Features improved German capabilities while maintaining English performance.
BRIEF DETAILS: Jina CLIP implementation combining EVA 02 vision architecture with XLM RoBERTa Flash Attention for multilingual text-image understanding
Brief Details: YOLOv10m - Advanced real-time object detection model with 16.6M parameters, COCO dataset trained, featuring state-of-the-art end-to-end detection capabilities.
Brief-details: Specialized Qwen-7B model fine-tuned for translating classical Chinese Kanbun text to Japanese Kakikudashibun, enabling accurate literary translations.
BRIEF-DETAILS: An 8.03B parameter merged language model combining three base models using LazyMergekit, optimized for text generation with FP16 precision.
Brief Details: A 7B parameter GGUF-quantized Mistral-based model optimized for roleplay interactions, offering multiple compression variants from 2.8GB to 14.6GB.
Brief-details: A fine-tuned TrOCR large model specialized for printed text recognition, particularly optimized for CMC7 and MICR formats, with 609M parameters and F32 tensor support.
Brief Details: A 559M parameter prompt generation model built with PyTorch and safetensors, specifically designed for creating text-to-image prompts.
Brief-details: Arc2Face is an advanced ID-conditioned face generation model that creates diverse, identity-consistent photos from ArcFace embeddings, built on diffusion technology.
Here's the response: BRIEF DETAILS: Bilingual (Chinese/English) LLM specialized in knowledge extraction tasks, supporting NER, relation extraction, and event extraction. Built on Chinese-Alpaca-2-13B architecture.
Brief-details: LSTM-based stock price prediction model trained on Google stock data, featuring 5 layers, 64 hidden dimensions, and proven accuracy on both training and test datasets.
Brief-details: Real-time human pose estimation model optimized for mobile deployment, featuring dual-stage detection with 815K and 3.37M parameters for efficient body landmark tracking.
Brief-details: Norwegian speech recognition model with 1.54B parameters, trained on 66,000 hours of speech data. Supports Norwegian, English and handles ASR tasks with high accuracy.
Brief-details: Advanced Vietnamese language model with 3.7B parameters, fine-tuned on 70K instructional prompts and 290K conversations. State-of-the-art performance for Vietnamese text generation.
Brief Details: InstructIR is a state-of-the-art image restoration model that follows human instructions to enhance degraded images, supporting multiple restoration tasks with impressive results.
Brief-details: Kunoichi-7B is a high-performing 7.24B parameter Mistral-based model optimized for RP and general tasks, with impressive MT-Bench (8.14) and MMLU (64.9) scores
Brief-details: SDXL Detector is an 86.8M parameter image classification model fine-tuned to detect SDXL-generated images with 98.1% accuracy and 0.97 F1 score.
Brief Details: Specialized 7B parameter Mistral model fine-tuned for detecting racial covenants in property deeds, achieving 99.7% F1 score.
Brief-details: A 7.24B parameter Mistral-based model specialized in grammar correction and text rephrasing, featuring GGUF format for efficient inference
Brief-details: A 13B parameter LLaMA-based model optimized for storytelling and descriptive outputs, featuring GGUF quantization for efficient deployment and combining Chronos and Hermes capabilities.
Brief-details: YOLOv8-based face detection model trained on 10k+ images, optimized for 100 epochs on NVIDIA V100. Supports both detection and recognition tasks. AGPL-3.0 licensed.
