7 Top Open-Source LLMs for 2025

In the last few years, we have seen businesses lean towards the adoption of AI solutions. Do you know that AI text generation tools use powerful large language models (LLMs)?

Over the past few years, hundreds of LLMs have emerged on the scene. Some are open-source, while others are proprietary large language models. Smaller organizations usually prefer open-source LLMs because they are free to use and modifiable to match their needs.

Today, we will be exploring the top 7 open-source LLMs among the hundreds available that you must use in 2025.

List of the 7 Top Open-Source LLMs for 2025

1: Llama 3.1

We have seen multiple top names like OpenAI introduce proprietary LLMs. However, a big name, Meta, didn’t shy away from releasing one of the best open-source LLM, Llama 3.1. It was released on July 23, 2024.

Llama 3.1 offers unmatched capabilities while staying openly available to developers. It is known for its scalability and high performance. It supports eight languages and supports a whopping 128,000 tokens context length. That means it is able to understand long texts and engage in more complex conversations. It is a powerhouse for creating synthetic data and improving smaller models.

2: BERT

BERT is another of the best open-source LLMs founded in 2018 by Google. It helps computers understand the context of a sentence by analyzing the surrounding words. This approach is called a bidirectional approach. It is easy to understand and works really well in practice. BERT comes in two versions:

• BERT-Base: Has 12 layers and 110 million parameters
• BERT-Large: Has 24 layers and 340 million parameters

BERT LLM is most suitable for tasks like summarization, question answering, and sentiment classification.

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