Best VLLM Alternatives in 2025
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EasyLLM is an open source project that provides helpful tools and methods for working with large language models (LLMs), both open source and closed source. Get immediataly started or check out the documentation.
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To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
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Introducing StreamingLLM: An efficient framework for deploying LLMs in streaming apps. Handle infinite sequence lengths without sacrificing performance and enjoy up to 22.2x speed optimizations. Ideal for multi-round dialogues and daily assistants.
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LazyLLM: Low-code for multi-agent LLM apps. Build, iterate & deploy complex AI solutions fast, from prototype to production. Focus on algorithms, not engineering.
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OneLLM is your end-to-end no-code platform to build and deploy LLMs.
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Revolutionize LLM development with LLM-X! Seamlessly integrate large language models into your workflow with a secure API. Boost productivity and unlock the power of language models for your projects.
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Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.
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PolyLM, a revolutionary polyglot LLM, supports 18 languages, excels in tasks, and is open-source. Ideal for devs, researchers, and businesses for multilingual needs.
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Discover, compare, and rank Large Language Models effortlessly with LLM Extractum. Simplify your selection process and empower innovation in AI applications.
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LM Studio is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs). The LM Studio cross platform desktop app allows you to download and run any ggml-compatible model from Hugging Face, and provides a simple yet powerful model configuration and inferencing UI. The app leverages your GPU when possible.
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Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime.
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Semantic routing is the process of dynamically selecting the most suitable language model for a given input query based on the semantic content, complexity, and intent of the request. Rather than using a single model for all tasks, semantic routers analyze the input and direct it to specialized models optimized for specific domains or complexity levels.
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Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
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ManyLLM: Unify & secure your local LLM workflows. A privacy-first workspace for developers, researchers, with OpenAI API compatibility & local RAG.
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Llamafile is a project by a team over at Mozilla. It allows users to distribute and run LLMs using a single, platform-independent file.
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Debug your AI agents with complete visibility into every request. vLLora works out of the box with OpenAI-compatible endpoints, supports 300+ models with your own keys, and captures deep traces on latency, cost, and model output.
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LLaMA Factory is an open-source low-code large model fine-tuning framework that integrates the widely used fine-tuning techniques in the industry and supports zero-code fine-tuning of large models through the Web UI interface.
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LoLLMS WebUI: Access and utilize LLM models for writing, coding, data organization, image and music generation, and much more. Try it now!
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Qwen2.5 series language models offer enhanced capabilities with larger datasets, more knowledge, better coding and math skills, and closer alignment to human preferences. Open-source and available via API.
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One AI assistant for you or your team with access to all the state-of-the-art LLMs, web search and image generation.
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Unlock the power of large language models with 04-x. Enhanced privacy, seamless integration, and a user-friendly interface for language learning, creative writing, and technical problem-solving.
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Integrate large language models like ChatGPT with React apps using useLLM. Stream messages and engineer prompts for AI-powered features.
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LMCache is an open-source Knowledge Delivery Network (KDN) that accelerates LLM applications by optimizing data storage and retrieval.
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Ruby AI simplified! RubyLLM: Single API for top AI models (OpenAI, Gemini, Anthropic, DeepSeek). Build AI apps easily with chat, images, PDFs, streaming, & more.
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Deploy AI models lightning fast with LitServe! Easy, scalable serving for PyTorch, TensorFlow, JAX & more. Cut costs & focus on AI. Get started now!
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WordLlama is a utility for natural language processing (NLP) that recycles components from large language models (LLMs) to create efficient and compact word representations, similar to GloVe, Word2Vec, or FastText.
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Discover Code Llama, a cutting-edge AI tool for code generation and understanding. Boost productivity, streamline workflows, and empower developers.
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GLM-4.5V: Empower your AI with advanced vision. Generate web code from screenshots, automate GUIs, & analyze documents & video with deep reasoning.
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With a total of 8B parameters, the model surpasses proprietary models such as GPT-4V-1106, Gemini Pro, Qwen-VL-Max and Claude 3 in overall performance.
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LightEval is a lightweight LLM evaluation suite that Hugging Face has been using internally with the recently released LLM data processing library datatrove and LLM training library nanotron.