BRIEF-DETAILS: A 12B parameter AI model focused on analytical neutrality and unbiased responses, built on Gemma architecture with specialized emotional neutrality protocols
Brief-details: Fibonacci-2-9b: A 9.24B parameter LLM based on Gemma2 architecture, optimized for NLP tasks with multi-format support (4-bit to 16-bit). MIT licensed.
Brief Details: A Gemma 3 12B model fine-tuned on Claude 3.7 Sonnet's reasoning capabilities, offering enhanced analytical thinking while remaining open-source.
Brief Details: Tessa-T1-32B is a specialized React-focused LLM based on Qwen2.5-Coder, designed for autonomous frontend development with 32B parameters and React reasoning capabilities.
Brief-details: A 7B parameter vision-language model specialized in visual mathematical reasoning and complex multimodal tasks, built on Qwen2.5-VL architecture.
Brief Details: Fibonacci-2-14B: A 14B parameter LLM based on Phi 4 architecture, optimized for NLP tasks with multi-format support (4-8-16 bit). MIT licensed.
Brief-details: DeepSeek-V3-0324 GGUF quantizations offering various compression levels from Q8_0 to IQ1_S, optimized for different hardware and memory constraints
Brief Details: TxGemma-9b-predict - A 9B parameter language model by Google requiring explicit terms acceptance via Health AI Developer Foundation
Brief-details: LHM is a groundbreaking AI model for creating animatable 3D human reconstructions from single images in seconds, featuring both 500M and 1B parameter versions
Brief-details: GenXD is an advanced AI model for generating 3D and 4D content from images, featuring multiview-temporal modules and alpha-fusing techniques. Developed by NUS and Microsoft under Apache-2.0 license.
Brief Details: Flux Wavelet model by zhang0jhon - A specialized implementation focusing on wavelet transformations for signal processing and analysis applications.
Brief-details: A 24B parameter Mistral-based model featuring 6-bit quantization, 128k context window, multilingual support, and vision capabilities, optimized for efficient local deployment.
Brief-details: TxGemma-27B-Predict: Google's large language model requiring Health AI Developer Foundation terms acceptance, hosted on HuggingFace with 27B parameters.
BRIEF DETAILS: TxGemma-2B-Predict: A specialized 2B parameter Google model requiring Health AI Foundation terms agreement, designed for healthcare applications.
Brief-details: Baharrr_Fluxxx is a LoRA model trained on Replicate's Flux dev trainer, designed for integration with diffusers library and triggered using "TOK" keyword for image generation.
Brief Details: A specialized image generation model that recreates the distinctive Studio Ghibli animation style, focusing on detailed environments, character expressions, and magical storytelling elements.
BRIEF-DETAILS: Vietnamese female voice cloning model based on F5-TTS architecture, trained on 800k+ samples. Supports zero-shot voice cloning with BY-NC 4.0 license restrictions.
BRIEF-DETAILS: TxGemma 9B Chat is Google's specialized chat model requiring Health AI Developer Foundation agreement, built for medical conversations.
Brief-details: OCR-CAPTCHA model specialized in recognizing common verification codes with two variants - a highly accurate small model (100% accuracy) and a larger model (93.95% accuracy) for diverse CAPTCHA types.
BRIEF-DETAILS: 4-bit quantized version of Qwen2.5-Omni-7B offering multimodal capabilities with reduced model size (12.71GB vs 22.39GB) while maintaining performance.
Brief-details: Unidrone is a YOLO-v8 based drone detection model for identifying 7 object classes from aerial imagery, optimized for both nadir and forward-looking angles.
