Brief-details: InternLM2.5-1.8B is an advanced language model featuring significant improvements in reasoning capabilities compared to its predecessor, utilizing synthetic data and iterative refinement processes.
BRIEF DETAILS: 8B parameter Llama 3.1 model quantized to 4-bit, optimized with Unsloth for 2x faster training. Apache-2.0 licensed, specialized for text generation.
Brief-details: Korean-optimized 8B parameter LLaMA 3.1 instruction model, fine-tuned on diverse Korean datasets for enhanced conversational AI and text generation capabilities.
Brief Details: [Pantheon-RP-1.5-12b-Nemo is a 12B parameter roleplay-focused LLM featuring multiple distinct AI personas and optimized character interactions]
Brief-details: ZEBRA retrieval model (109M params) for zero-shot commonsense QA augmentation, based on E5-base-v2, supporting example-based retrieval and knowledge generation.
Brief-details: Specialized inpainting model based on Kolors-Basemodel, featuring enhanced mask generation strategies and superior artifact handling for image editing tasks.
Brief Details: RoBERTa-based language model for Kazakh (355M params) trained on multidomain dataset. Specializes in masked language modeling with broad domain coverage.
BRIEF DETAILS: A Stable Diffusion XL-based LoRA model specialized in generating Pixar-style 3D images, featuring customizable parameters and high-quality cartoon rendering capabilities.
Brief Details: Microsoft's 3.8B parameter language model optimized for instruction-following, reasoning, and multi-turn conversations with 4K context window.
BRIEF DETAILS: CogVLM2-Video-Llama3-Chat is a powerful 12.5B parameter video understanding model that achieves SOTA performance in video QA tasks, supporting one-minute video analysis.
BRIEF DETAILS: An 8B parameter Turkish-focused chat model based on Llama-3, fine-tuned by Trendyol with advanced text generation capabilities and BF16 precision.
BRIEF DETAILS: A specialized LoRA model for SDXL focused on photorealistic image generation, featuring constant LR scheduling and AdamW optimization. Built for high-quality portrait and human subject rendering.
Brief Details: Quantized PoseNet model optimized for mobile deployment using MobileNet backbone. Efficient human pose estimation at 513x257 resolution with INT8 precision.
Brief-details: MobileCLIP-S0 is a fast, efficient image-text model achieving CLIP-like performance with 4.8x faster speed and 2.8x smaller size than ViT-B/16
Brief-details: 8B parameter medical LLM based on Llama3, specialized in biomedicine through instruction pre-training. Offers strong performance comparable to larger models.
Brief-details: 70B parameter reward model using SteerLM architecture to rate AI responses on 5 attributes: helpfulness, correctness, coherence, complexity, and verbosity.
Brief-details: German-specialized 8B parameter LLM based on Meta's Llama3, trained on 65B tokens of high-quality German text with improved language capabilities and minimal English performance loss
Brief Details: 8B parameter Spanish-English LLM built on Llama-3, trained on 24 datasets including translation, QA, and code. Optimized for bilingual tasks and instruction-following.
Brief Details: YOLOv10m is a state-of-the-art object detection model with 16.6M parameters, offering real-time performance and COCO dataset compatibility
Brief-details: Jina CLIP implementation combining EVA-02 vision architecture with XLM RoBERTa text model using Flash Attention, optimized for multilingual vision-language tasks.
BRIEF DETAILS: Specialized 7B parameter model fine-tuned for translating classical Chinese Kanbun to Japanese Kakikudashibun, built on Qwen-7B-Chat-Int4 using PEFT technology.
