Brief-details: Alita-v1 is a machine learning model developed by Jonny001, available on HuggingFace. Limited public information suggests it's an experimental AI model focused on natural language processing tasks.
BRIEF-DETAILS: ControlNet model for image segmentation control in Stable Diffusion, enabling precise semantic control over generated images using segmentation maps
Brief-details: A 4-bit quantized MNN version of deepseek-llm-7b-chat, optimized for efficient deployment using Alibaba's MNN framework. Focuses on low memory usage and CPU performance.
Brief-details: A lightweight version of Gemma-2 model, created by katuni4ka and hosted on HuggingFace. Designed for experimental and research purposes with randomized weights.
Brief-details: A comprehensive collection of GGUF quantizations of DeepSeek-R1-Distill-Llama-70B, offering multiple compression levels from 16.75GB to 74.98GB with varying quality-size tradeoffs.
Brief-details: A LoRA adapter for the tiny-random-Llama-3 model, offering a lightweight and efficient fine-tuning approach for the base Llama 3 architecture
Brief Details: A tiny random initialization of OPT model for causal language modeling, designed for testing and development purposes. Hosted on HuggingFace by hf-tiny-model-private.
Brief-details: SecRoBERTa is a specialized RoBERTa-based language model pre-trained on cybersecurity texts, optimized for security-related NLP tasks like NER and classification.
Brief-details: 4-bit quantized version of Pygmalion-6B language model optimized with GPTQ, using 128-group size for efficient deployment while maintaining performance.
Brief Details: Fugaku-LLM-13B is a Japanese large language model developed using supercomputer "Fugaku" through collaboration between major Japanese institutions, available for commercial use.
Brief-details: A specialized SDXL LoRA model focused on creating 3D rendered imagery, optimized for weights between 0.7-1.0 with recommended highres fix implementation.
Brief Details: ALLaM-7B-Instruct is a bilingual Arabic-English LLM trained on 5.2T tokens, optimized for GGUF format with Q4 quantization for efficiency
BRIEF-DETAILS: PhotoDoodle by nicolaus-huang: An AI model for transforming photos into artistic doodle-style sketches, available on HuggingFace.
Brief-details: Unsloth's optimized version of DeepSeek-R1 with dynamic quantization (2-4 bit), offering improved accuracy and censorship-free reasoning capabilities
Brief-details: ViT-based deepfake detection model achieving 95.16% accuracy, trained on high-quality dataset. Excellent precision for both real (92.38%) and fake (98.33%) image classification.
Brief-details: Quantized version of Perplexity AI's r1-1776 model, optimized for efficient deployment while maintaining knowledge-sharing capabilities
Brief Details: A Whisper-small model finetuned on Galician language, achieving 13.68% WER, significantly improved from 40.81% baseline performance
Brief-details: UIGEN-T1.1-Qwen-7B-Q4_K_M-GGUF is a quantized GGUF version of Qwen-7B, optimized for llama.cpp deployment with 4-bit precision
Brief Details: Indoor 3D mapping system using mobile video with semantic enrichment. Combines DPT-based depth estimation with PaLiGemma vision-language model for comprehensive scene reconstruction.
Brief-details: A 7B parameter math reasoning model trained using SimpleRL approach on just 8K MATH examples, demonstrating efficient learning through reinforcement learning
Brief-details: SigLIP 2 is Google's advanced vision-language model trained on WebLI dataset, offering improved semantic understanding and localization capabilities with 400M parameters.
