Best Model2vec Alternatives in 2025
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KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.
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Ongoing research training transformer models at scale
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VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.
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DeepSeek-VL2, a vision - language model by DeepSeek-AI, processes high - res images, offers fast responses with MLA, and excels in diverse visual tasks like VQA and OCR. Ideal for researchers, developers, and BI analysts.
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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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A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible
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EmbeddingGemma: On-device, multilingual text embeddings for privacy-first AI apps. Get best-in-class performance & efficiency, even offline.
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VoltaML Advanced Stable Diffusion WebUI，Easy to use, yet feature-rich WebUI with easy installation. By community, for community.
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JetMoE-8B is trained with less than $ 0.1 million1 cost but outperforms LLaMA2-7B from Meta AI, who has multi-billion-dollar training resources. LLM training can be much cheaper than people generally thought.
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MiniCPM is an End-Side LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings (2.7B in total).
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RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
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Unlock the power of AI with Martian's model router. Achieve higher performance and lower costs in AI applications with groundbreaking model mapping techniques.
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Octopus v2 model, a versatile AI agent that can be applied to any industry function. Stay tuned for code release.
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Eagle 7B : Soaring past Transformers with 1 Trillion Tokens Across 100+ Languages (RWKV-v5)
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FastEmbed is a lightweight, fast, Python library built for embedding generation. We support popular text models. Please open a Github issue if you want us to add a new model.
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Yuan2.0-M32 is a Mixture-of-Experts (MoE) language model with 32 experts, of which 2 are active.
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Unlock powerful multilingual text understanding with Qwen3 Embedding. #1 MTEB, 100+ languages, flexible models for search, retrieval & AI.
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Qwen2.5-Turbo by Alibaba Cloud. 1M token context window. Faster, cheaper than competitors. Ideal for research, dev & business. Summarize papers, analyze docs. Build advanced conversational AI.
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Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks.
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OLMo 2 32B: Open-source LLM rivals GPT-3.5! Free code, data & weights. Research, customize, & build smarter AI.
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Gemma 3 270M: Compact, hyper-efficient AI for specialized tasks. Fine-tune for precise instruction following & low-cost, on-device deployment.
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Transformer Lab: An open - source platform for building, tuning, and running LLMs locally without coding. Download 100s of models, finetune across hardware, chat, evaluate, and more.
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A Trailblazing Language Model Family for Advanced AI Applications. Explore efficient, open-source models with layer-wise scaling for enhanced accuracy.
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Supercharge your AI projects with DeepSpeed - the easy-to-use and powerful deep learning optimization software suite by Microsoft. Achieve unprecedented scale, speed, and efficiency in training and inference. Learn more about Microsoft's AI at Scale initiative here.
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Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
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OpenBMB: Building a large-scale pre-trained language model center and tools to accelerate training, tuning, and inference of big models with over 10 billion parameters. Join our open-source community and bring big models to everyone.
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Build AI models from scratch! MiniMind offers fast, affordable LLM training on a single GPU. Learn PyTorch & create your own AI.
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Meet Falcon 2: TII Releases New AI Model Series, Outperforming Meta’s New Llama 3
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XVERSE-MoE-A36B: A multilingual large language model developed by XVERSE Technology Inc.
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Modelbit lets you train custom ML models with on-demand GPUs and deploy them to production environments with REST APIs.