vllm-playground is described as 'A modern web interface for managing and interacting with vLLM servers (www.github.com/vllm-project/vllm). Supports both GPU and CPU modes, with special optimizations for macOS Apple Silicon and enterprise deployment on OpenShift/Kubernetes' and is a large language model (llm) tool in the ai tools & services category. There are seven alternatives to vllm-playground for a variety of platforms, including Windows, Linux, Mac, Self-Hosted and Flathub apps. The best vllm-playground alternative is Ollama, which is both free and Open Source. Other great apps like vllm-playground are GPT4ALL, Jan.ai, LM Studio and KoboldCpp.
Supports local deployment of Llama 3, Code Llama, and other language models, enabling users to customize and create personalized models. Ideal for AI development, it offers flexibility for offline AI needs and integrates AI writing and chatbot tools in local setups.
An ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.
KoboldCpp is an easy-to-use AI text-generation software for GGML models. It's a single self contained distributable from Concedo, that builds off llama.cpp, and adds a versatile Kobold API endpoint, additional format support, backward compatibility, as well as a fancy UI...
Run LLMs on AMD Ryzen™ AI NPUs in minutes. Just like Ollama - but purpose-built and deeply optimized for the AMD NPUs.
The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.
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