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Alternatives to Phi AI (Microsoft)

Qwen AI
Qwen AIQwen is Alibaba's open-source family of foundation models covering LLMs, image generation, translation, and AI safety. Available on Hugging Face, GitHub, ModelScope, and via API.
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Essential AI Enterprise
Essential AI EnterpriseEssential AI builds open-source frontier large language models and research tools to democratize access to cutting-edge AI. Explore Rnj-1 and their STEM-focused LLM platform.
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StarCoder AI
StarCoder AIStarCoder AI provides open-source large language models for code generation, trained on 600+ programming languages and trillions of tokens from The Stack v2.
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NVIDIA Modulus AI Physics
NVIDIA Modulus AI PhysicsNVIDIA PhysicsNeMo is an open-source Python framework for building, training, and fine-tuning physics AI models. Accelerate engineering simulations and digital twins with PINNs, neural operators, GNNs, and more.
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OpenNMT
OpenNMTOpenNMT is a free, open-source neural machine translation ecosystem supporting PyTorch and TensorFlow, with tools for training, inference, and tokenization.
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EleutherAI Open LLM
EleutherAI Open LLMEleutherAI is a nonprofit AI research collective that trains and releases open-source LLMs, advancing interpretability, alignment, and language modeling research.
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DeepEval
DeepEvalDeepEval is an open-source LLM evaluation framework with 50+ research-backed metrics, Pytest integration, and support for single/multi-turn and multi-modal AI testing.
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NVIDIA FourCastNet
NVIDIA FourCastNetNVIDIA FourCastNet uses Spherical Fourier Neural Operators to deliver global weather forecasts 1,000x faster than traditional NWP models, powered by PyTorch and the ERA5 dataset.
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P
PromptMagePromptMage is a self-hosted Python framework for building multi-step LLM applications with prompt version control, a playground, auto-generated APIs, and evaluation tools.
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MACE Foundations
MACE FoundationsMACE is an open-source ML framework for generating accurate force fields using equivariant message passing. Supports foundation models, fine-tuning, LAMMPS, and OpenMM.
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