#大语言模型#SGLang is a fast serving framework for large language models and vision language models.
#大语言模型#Use PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, ...) or 100+ MLLMs (Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL...
#计算机科学#SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
#大语言模型#A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
#大语言模型#Open-source evaluation toolkit of large vision-language models (LVLMs), support 160+ VLMs, 50+ benchmarks
streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL
#大语言模型#🔥🔥 LLaVA++: Extending LLaVA with Phi-3 and LLaMA-3 (LLaVA LLaMA-3, LLaVA Phi-3)
#大语言模型#The easiest way to use the Ollama API in .NET
#自然语言处理#👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]