Brief Details: FLX is an AI model created by Aitrepreneur, available on HuggingFace. Limited public information suggests it's a specialized language model.
Brief Details: An 8B parameter LLaMA-based digital twin model trained to emulate the writing style and knowledge of ML engineers using accelerated training techniques.
Brief Details: Research-focused AI model from Microsoft (maira-2) - Not for clinical use - Specialized development model requiring explicit disclaimer agreement
BRIEF-DETAILS: Meta's Llama 3.1 8B vision model with 128K context window, enhanced with mmprojector for improved multimodal capabilities and GGUF format support.
BRIEF-DETAILS: GGUF quantized version of Gemma 2 9B SimPO model offering various compression levels from 3.9GB to 18.6GB, optimized for efficient deployment and inference.
Brief-details: Tifa-7B-Qwen2 is a Chinese-focused roleplay LLM distilled from a 220B model, optimized for character interaction and industrial knowledge, running on Ollama via GGUF format.
Brief Details: Stable Fast 3D is a specialized AI model by Stability AI focused on efficient 3D content generation and processing, requiring license agreement acceptance.
Brief Details: Meta's latest 405B parameter LLaMA instruction-tuned model, designed for advanced language understanding and generation tasks
Brief Details: Meta's Llama-3.1-405B is a powerful large language model featuring 405 billion parameters, representing Meta's latest advancement in LLM technology.
Brief Details: A quantized version of Big-Tiger-Gemma-27B offering multiple compression formats (Q2-Q8) for efficient deployment, with sizes ranging from 10.5GB to 29GB.
Brief Details: SEMIKONG-70B is a 70 billion parameter large language model developed by pentagoniac, available on HuggingFace for advanced natural language processing tasks.
BRIEF DETAILS: EAGLE-LLaMA3-Instruct-70B is a powerful 70B parameter instruction-tuned language model built on LLaMA3, designed for enhanced instruction following and task completion.
Brief-details: Efficient on-device 2.51B parameter LLM based on Gemma-2b, optimized for planning tasks with 98.1% success rate. Ideal for edge device AI agents.
Brief-details: Multilingual speech language identification model by Facebook, supporting 126 languages with 1B parameters. Built on Wav2Vec2 architecture, 16kHz audio processing.
Brief Details: Specialized table recognition model developed by vikp for the Surya project, focused on extracting and processing tabular data from documents.
Brief-details: Japanese manga OCR model using Vision Encoder Decoder framework. Specializes in both vertical/horizontal text recognition, handles furigana and various font styles.
BRIEF-DETAILS: A test-focused tokenizer model with random weights, designed for development and testing purposes of LLaMA-based architectures.
Brief Details: SigLIP SO-400M vision-language model with 384x384 input resolution and 400M parameters. Optimized for image-text alignment using HuggingFace's implementation.
BRIEF DETAILS: CLIP-based vision transformer model (ViT-B-32) from OpenAI, optimized for Immich photo library with separated visual and text encoders in ONNX format.
Brief Details: Ovis1.5-Llama3-8B is an open-source multimodal LLM combining SigLip-400M for vision and Llama3-8B for text, offering strong performance on visual-language tasks.
Brief-details: A compact random initialization of the Phi architecture for causal language modeling, designed for testing and experimentation purposes by echarlaix.
