Brief-details: Turn detector model by LiveKit - likely used for conversation turn detection and analysis, though specific details and implementation are not publicly documented.
Brief-details: ShieldGemma-2B is Google's secure 2B parameter language model requiring Hugging Face authentication and license agreement for access. Built for safe, controlled deployment.
BRIEF DETAILS: Meta's 8B parameter multilingual LLM optimized for chat/instruction. Supports 8 languages, 128k context, GGUF format for efficient deployment. Strong performance on reasoning and tool use.
Brief Details: A compact 68M parameter LLaMA-like model trained on Wikipedia and C4 datasets, designed for speculative inference research
Brief-details: TimeMoE-50M is a specialized 50-million parameter foundation model designed for time series analysis, utilizing Mixture of Experts architecture for efficient processing
Brief Details: A GGUF format test model by Isotr0py hosted on HuggingFace, designed for experimental purposes and format validation testing.
Brief-details: A compact experimental version of Meta's Llama-3-8B-Instruct model, designed for testing and development purposes by llamafactory
Brief-details: High-performance language identification model capable of detecting 189 languages with 0.93 F1 score, built on FastText architecture with improved accuracy and coverage.
Brief-details: State-of-the-art embedding model by NVIDIA ranking #1 on MTEB benchmark. Built on Mistral-7B, features 4096-dim embeddings with innovative latent-attention pooling.
Brief-details: AI-powered Git commit message generator that provides both commit messages and detailed reasoning, available via Hugging Face with API integration
Brief Details: Experimental uncensored version of Gemma 3 12B using layerwise abliteration technique, optimized for reduced refusals while maintaining model capabilities
Brief Details: An uncensored 4B parameter variant of Google's Gemma-3 model using layerwise abliteration technique, optimized for reduced content filtering.
Brief-details: Advanced lip-sync AI model by ByteDance featuring improved temporal consistency, better Chinese video support, and reduced VRAM requirements (20GB). Built for high-quality video lip synchronization.
Brief-details: XLM-RoBERTa-large model fine-tuned for Spanish NER, achieving 89.17% F1-score on CoNLL-2002 dataset - top performer for Spanish NER tasks.
Brief-details: A state-of-the-art BERT-based masked language model trained on 4.6GB of Nepali news data, achieving 1.0495 loss and 8.56 perplexity.
Brief Details: Optimized FP16 ControlNet-v1-1 checkpoints in safetensors format, designed for ComfyUI and other UIs supporting controlnets.
Brief Details: Quantized version of Gemma-3-27B model optimized to INT4, reducing memory by 75% while maintaining multimodal capabilities for text and image processing.
BRIEF-DETAILS: DeepHermes-3-Mistral-24B GGUF quantized variants optimized for different hardware/RAM configurations, offering quality-size tradeoffs from 47GB to 7GB
Brief-details: MLX-optimized 4-bit quantized version of Google's Gemma 3B 27B vision-language model, enabling image understanding and text generation with reduced memory footprint
Brief Details: Arabic-optimized sentence transformer model (210M params) with Matryoshka embeddings, 8192 token context, achieving 73.5% improvement on STS17 benchmarks.
Brief Details: A 32B parameter LLM fine-tuned from Qwen2.5-Coder specialized in natural language to SparkSQL generation, handling 32k token contexts
