Brief Details: Meta's 17B parameter Llama-4 variant optimized for instruction-following, using FP8 quantization and 128-token context enhancement
Brief-details: SkyReels-A2 is a sophisticated video diffusion transformer model capable of composing video content using dual-branch encoding for spatial and semantic features, supporting high-resolution video generation.
Brief-details: Meta's Llama-4-Scout-17B-16E is a 17B parameter large language model, part of the Llama family, focused on enhanced dialogue and task completion capabilities.
Brief Details: Gemma 3B 27B - Google's quantized instruction-tuned large language model, optimized for efficiency using 4-bit quantization in GGUF format
Brief Details: RolmOCR is a fast, efficient OCR model built on Qwen2.5-VL-7B, offering improved performance and lower memory usage compared to olmOCR for document text extraction
Brief Details: Educational PyTorch implementation of Llama 3.2 with 1B/3B parameter variants, optimized for learning and research. Includes instruction-tuned versions.
BRIEF-DETAILS: Meta's 17B parameter LLaMA-4 variant optimized for instruction-following tasks, featuring enhanced context handling and improved performance.
Brief-details: OpenHands LM 32B is an open-source coding model with 37.2% resolve rate on SWE-Bench, featuring 128K context window and local deployment capability on consumer GPUs.
Brief Details: Meta's 17B parameter instruction-tuned LLaMA model optimized for conversational AI, featuring enhanced instruction-following capabilities
BRIEF-DETAILS: Qwen2.5-VL-32B-Instruct-8bit is a converted MLX format vision-language model optimized for efficiency with 8-bit quantization, enabling multimodal interactions
BRIEF-DETAILS: MLX-optimized Qwen2.5 vision-language model with 32B parameters. Supports multimodal tasks using MLX framework. BF16 precision for efficient inference.
Brief-details: GenHancer enhances CLIP models' fine-grained visual perception through innovative two-stage training, improving vision-language tasks by up to 6.0% on OpenAICLIP.
Brief Details: DanbotNL-2408-260M is a 260M parameter language model specialized in translating natural language (Japanese/English) to Danbooru tags, using modernbert-ja-130m architecture.
Brief-details: A 3 billion parameter pretrained language model focused on German language processing, created by amuvarma and hosted on Hugging Face.
Brief-details: Multimodal Gemma-3 variant with speech capabilities - 4B parameters, handles text/audio/vision, specialized in ASR/AST tasks with 128K context window.
Brief-details: A comprehensive collection of GGUF quantizations of X-Ray_Alpha model, offering various compression levels from 7.77GB to 1.54GB with different quality-size tradeoffs.
Brief Details: A quantized version of Fallen-Gemma3-27B-v1 with multiple GGUF variants, offering flexible performance-size tradeoffs from 8GB to 54GB with varying quality levels
BRIEF-DETAILS: A personal collection of AI model clips shared on HuggingFace, designed for easy bulk access rather than individual curated uploads.
Brief-details: A 32B parameter Cantonese LLM built on Qwen 2.5, trained with 600M Hong Kong news articles and fine-tuned with 75K instruction pairs. Optimized for Hong Kong knowledge and Cantonese conversations.
Brief Details: LayerAnimate-Mix is a video diffusion framework enabling layer-level animation control, developed by Yuxue Yang et al., with unique layer-aware architecture for precise manipulation.
Brief-details: Llama-3.1-Nemotron-Nano-8B derivative of Meta's Llama-3.1-8B-Instruct, optimized for reasoning and chat with 128K context. Supports multiple quantization formats for various hardware configurations.
