Best Large Language Models for Phi-2
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Compare the Top Large Language Models that integrate with Phi-2 as of November 2025
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This a list of Large Language Models that integrate with Phi-2. Use the filters on the left to add additional filters for products that have integrations with Phi-2. View the products that work with Phi-2 in the table below.
What are Large Language Models for Phi-2?
Large language models are artificial neural networks used to process and understand natural language. Commonly trained on large datasets, they can be used for a variety of tasks such as text generation, text classification, question answering, and machine translation. Over time, these models have continued to improve, allowing for better accuracy and greater performance on a variety of tasks. Compare and read user reviews of the best Large Language Models for Phi-2 currently available using the table below. This list is updated regularly.
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LM-Kit.NET
LM-Kit
LM-Kit.NET lets C# and VB.NET developers integrate large and small language models for natural language understanding, text generation, multi-turn dialogue, and low-latency on-device inference, while its vision language models add image analysis and captioning, its embedding models turn text into vectors for fast semantic search, and its LM-Lit catalog lists every state-of-the-art model with continuous updates, all in one efficient toolkit that stays inside your codebase without revealing any AI origin to the user.Starting Price: Free (Community) or $1000/year
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