Best StreamingLLM Alternatives in 2025
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A high-throughput and memory-efficient inference and serving engine for LLMs
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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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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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LMCache is an open-source Knowledge Delivery Network (KDN) that accelerates LLM applications by optimizing data storage and retrieval.
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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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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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ManyLLM: Unify & secure your local LLM workflows. A privacy-first workspace for developers, researchers, with OpenAI API compatibility & local RAG.
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Flowstack: Monitor LLM usage, analyze costs, & optimize performance. Supports OpenAI, Anthropic, & more.
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SmolLM is a series of state-of-the-art small language models available in three sizes: 135M, 360M, and 1.7B parameters.
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The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
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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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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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Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime.
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Thousands of developers use Streamlit as their go-to platform to experiment and build generative AI apps. Create, deploy, and share LLM-powered apps as fast as ChatGPT can compute!
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OneLLM is your end-to-end no-code platform to build and deploy LLMs.
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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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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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Laminar is a developer platform that combines orchestration, evaluations, data, and observability to empower AI developers to ship reliable LLM applications 10x faster.
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Crawl4LLM: Intelligent web crawler for LLM data. Get high-quality, open-source data 5x faster for efficient AI pre-training.
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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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The LlamaEdge project makes it easy for you to run LLM inference apps and create OpenAI-compatible API services for the Llama2 series of LLMs locally.
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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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Create custom AI models with ease using Ludwig. Scale, optimize, and experiment effortlessly with declarative configuration and expert-level control.
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Discover StableLM, an open-source language model by Stability AI. Generate high-performing text and code on personal devices with small and efficient models. Transparent, accessible, and supportive AI technology for developers and researchers.
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LLM Outputs detects hallucinations in structured data from LLMs. It supports formats like JSON, CSV, XML. Offers real-time alerts, integrates easily. Targets various use cases. Has free and enterprise plans. Ensures data integrity.
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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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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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Explore InternLM2, an AI tool with open-sourced models! Excel in long-context tasks, reasoning, math, code interpretation, and creative writing. Discover its versatile applications and strong tool utilization capabilities for research, application development, and chat interactions. Upgrade your AI landscape with InternLM2.
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RankLLM: The Python toolkit for reproducible LLM reranking in IR research. Accelerate experiments & deploy high-performance listwise models.