Brief Details: 8B parameter GGUF-formatted LLaMA-3 instruction model, optimized for various bit precisions (2-8 bit). Ideal for local deployment with GPU acceleration.
Brief Details: 8B parameter legal-focused LLM available in GGUF format with multiple quantization options (2-8 bit), optimized for deployment via llama.cpp
Brief-details: A powerful 768-dimensional sentence embedding model trained on 215M Q&A pairs, optimized for semantic search with MPNet architecture and 109M parameters.
Brief-details: Advanced multilingual text-to-speech model supporting 17 languages, capable of voice cloning with just 6 seconds of audio and cross-language voice generation at 24kHz.
Brief Details: A quantized 8B parameter LLaMA-3 instruction-tuned model available in GGUF format, optimized for efficient local deployment with multiple quantization options from 2-bit to 8-bit precision.
Brief-details: A lightweight T5-based time series forecasting model with 8.39M parameters, specialized in generating probabilistic forecasts through token-based sequence prediction.
Brief Details: 8B parameter LLaMA3 model optimized for GGUF format, supporting efficient inference through llama.cpp with BF16/U8 precision options and 2.8B effective parameters.
Brief-details: Advanced multimodal model with 7B parameters capable of processing images and videos with dynamic resolution and multilingual support, optimized for visual understanding tasks.
BRIEF DETAILS: Financial sentiment analysis BERT model trained on financial texts. 1.7M+ downloads. Classifies text into positive/negative/neutral sentiment.
Brief-details: A 7B parameter mathematical model based on Mistral, optimized for GGUF format with multiple quantization options (2-8 bit), excelling in math tasks like MATH (56.6%) and GSM8K (77.1%).
Brief-details: A quantized 8B parameter LLaMA-3 instruction model with 64k context length, available in GGUF format for efficient local deployment. Optimized for various bit precisions.
BRIEF-DETAILS: A 70.6B parameter GGUF-formatted model optimized for function calling, based on Llama 3 with competitive performance vs GPT-4, offering multiple quantization options.
Brief-details: RoBERTa-base model fine-tuned for sentiment analysis on software engineering texts, built on StackOverflow4423 dataset. 125M parameters, OpenRAIL license.
Brief-details: Yi-Coder-1.5B-Chat-GGUF is a quantized GGUF format model with 1.48B parameters, optimized for code generation and chat, supporting multiple bit precisions.
Brief-details: Yi-Coder-9B-Chat-GGUF is a quantized coding-specialized language model with 8.83B parameters, available in multiple precision formats (2-8 bit) in GGUF format.
Brief Details: Qwen2-0.5B is a 494M parameter language model optimized for text generation, featuring improved tokenization and SwiGLU activation for enhanced natural language processing.
BRIEF DETAILS: 8B parameter GGUF-formatted LLaMA-3 model optimized for tool use, featuring multiple quantization options (2-8 bit) and wide compatibility with popular LLM platforms.
Brief details: 70B parameter quantized GGUF model supporting 8 languages, available in multiple precision formats (2-8 bit), optimized for text generation and conversational tasks
Brief-details: Yi-1.5-6B-Chat GGUF is a quantized conversational AI model with 6.06B parameters, optimized for efficient local deployment using the GGUF format.
Brief Details: Quantized 8B parameter LLaMA-3 model in GGUF format, optimized for efficient local deployment with multiple precision options (2-8 bit) and broad client support.
Brief-details: Quantized GGUF version of Google's Gemma 2.2B instruction-tuned model, optimized for efficient local deployment with 2-8 bit precision options and wide compatibility.
