This is the Llamacpp imatrix quantized version of the Ling-flash-2.0 model by inclusionAI. Through advanced quantization technology, it significantly reduces memory usage and computational requirements while maintaining model performance, thereby improving operational efficiency. It supports multiple quantization levels and is suitable for different hardware configurations.

Natural Language ProcessingGguf

This is the GGUF version of the OpenAI GPT OSS 20B model, with 21 billion parameters, of which 3.6 billion are active parameters. This version is optimized for local deployment and specific use cases, aiming to reduce inference latency and improve operational efficiency.

Natural Language ProcessingTransformers

The quantized version of Tencent Hunyuan A13B Instruction Model, which uses technical means to improve operational efficiency while ensuring performance.

Natural Language ProcessingGguf

The GGUF format converted version of the Wan 2.1 text-to-video model, supporting text-to-video, image-to-video, and video-to-video conversions. It has been quantized to improve operational efficiency.

MultimodalGgufEnglish

Orpheus is a high-performance German text-to-speech model, fine-tuned to achieve natural and emotionally rich speech synthesis. This model is an 8-bit quantized version of the 3-billion-parameter model, optimized for operational efficiency.

Audio ProcessingGgufMultiple Languages

Llama-4-Scout-17B-16E-Instruct is a 17B parameter instruction fine-tuned large language model released by Meta, which has undergone quantization processing to improve operational efficiency.

Natural Language ProcessingGgufMultiple Languages

Orpheus is a high-performance text-to-speech model, fine-tuned to achieve natural and emotionally rich speech synthesis. This repository hosts the 8-bit quantized version of the 3-billion-parameter model, optimizing operational efficiency while maintaining high-quality output.

Audio ProcessingGgufMultiple Languages