Top 10 Open-Source LLMs : Everything You Need To Know

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The advancement of large language models (LLMs) is a major development in the technology field. These tools not only revolutionise interaction with machines but also present unique opportunities for creativity and innovation. In this blog post, we will explore open-source LLMs, an area that has gained popularity due to its accessibility and versatility.

Why should you be interested in open-source LLMs? In a nutshell, they are leading the way in transforming how we process information, communicate, and approach problem solving. From startups to corporations, these models have a wide-ranging impact on various aspects of our digital lives.

However, given the abundance of tools, it can be challenging to determine which ones are truly valuable. That’s where this blog comes into play. We have carefully curated a list of the 10 open-source LLM tools that excel in their capabilities, community support, and innovative features. Whether you are a developer, a business owner, or simply someone passionate about technology, familiarising yourself with these tools can give you an edge.


What is a Large Language Model (LLM)?

A large language model, commonly known as LLM, is a highly advanced form of artificial intelligence designed to analyse, understand, and generate text that closely resembles human language. These models are created using complex deep learning techniques and are trained on vast amounts of textual data, primarily gathered from various sources, including the internet.

LLMs, or large language models, are typically classified as open-source or proprietary. The fact that open-source LLMs are accessible to everyone distinguishes them. This means you can examine the data from which they learned, how they’re constructed, and what makes them tick. Open-source LLMs are fantastic because they allow everyone to see how they work and contribute to the spread of AI research. This is in contrast to proprietary models such as GPT and Claude, which do not provide their inner workings to the public.


Top 10 Open-source LLM

Choosing the right open-source language model can be hard. That is why we have curated this list of open-source LLMs. We have carefully selected the top 10 open-source LLMs, each with unique key features, using this foundation and our industry expertise of AI and LLMs

1. Llama 2

  • Multimodal Capabilities: Llama 2 can handle both text and image inputs, making it suitable for a variety of multimodal tasks.
  • Enhanced Contextual Understanding: It excels at grasping conversational meaning and context shifts.
  • Adaptive Communication: Adjusts tone and style based on user interaction.
  • Ethical AI Practises: Focuses on minimising biassed or harmful outputs.

Explore Llama 2 on Hugging Face

2. Falcon

  • Advanced Language Comprehension: Deep understanding of language nuances for coherent responses.
  • Autoregressive Model: Effective in capturing sequence dependencies and enhancing text generation and translation capabilities.
  • Robust Safety Features: This includes comprehensive safety measures for reliable performance.

Explore Falcon on Hugging Face

3. Dolly 2.0

  • Instruction Tuning: Utilises a unique fine-tuning approach for controlled and accurate text generation.
  • Commercial viability: suitable for various applications, offering a cost-effective solution for language generation.
  • Coding Assistance: Provides real-time coding suggestions and auto-completions.

Explore Dolly 2.0 on Hugging Face

4. Vicuna-33B

  • Fine-Grained Contextual Understanding: Captures intricate nuances of context for accurate responses.
  • Cross-Domain Versatility: Trained on diverse text sources for proficiency across various domains.
  • Rapid Inference Speed: Delivers fast responses without compromising accuracy.

Explore Vicuna-33B on Hugging Face

5. Platypus 2

  • Data Security: Advanced encryption and access controls to safeguard sensitive information.
  • Bias Mitigation: Uses techniques like LoRA to reduce biases in learned representations.
  • Efficiency: integrates technologies for quick adaptation and cost-effective solutions.

Explore Platypus 2 on Hugging Face


Suggested Reading

  1. Evaluate how different Large Language models (LLMs) React to Your Prompts
  2. AI Apps Deployment with LLM Spark
  3. Built-In Prompt Templates to Boost AI App Development Process
  4. Transforming Customer Support with Powerful GPT Chatbot

6. Stable Beluga 2

  • Exceptional Reasoning Skills: Capable of insightful and contextually accurate responses.
  • Supervised Fine Tuning: Enhances performance on specific tasks through labelled data learning.
  • Ethical Content Generation: Prioritises safe, respectful, and non-offensive responses.

Explore Stable Beluga 2 on Hugging Face

7. Baichuan

  • Chinese Language Proficiency: specialises in understanding and generating Chinese content.
  • Industry-Grade Performance: Competes with leading models in text generation and analysis.
  • Vast Linguistic Capacity: Handles complex language patterns for nuanced communication.

Explore Baichuan on Hugging Face

8. GPT-J

  • Powerful Text Generation: Known for generating high-quality, coherent text across domains.
  • Few-Shot Learning Capability: Performs well on NLP tasks with minimal training.
  • Accessible and User-Friendly: Easy integration into applications with a straightforward API.

Explore GPT-J on Hugging Face

9. GPT-NeoX-20B

  • Large-Scale Parameter Count: Enhances its ability to produce contextually relevant content.
  • Efficient Multi-GPU Training: Optimised for faster training times and model convergence.
  • Enhanced Contextual Understanding: Grasps text nuances for accurate and coherent responses.

Explore GPT-NeoX-20B on Hugging Face

10. BERT

  • Bidirectional Context Understanding: Reads sentences in both directions for nuanced comprehension.
  • Attention Mechanism: Focuses on relevant words for better dependency capture.
  • Masked Language Model: Predicts masked words using context, enhancing inference capabilities.

Explore BERT on Hugging Face

Each of these models has been designed with specific features that make them suitable for various applications in natural language processing, from text generation to complex problem-solving tasks.


Conclusion

In this blog, we looked at ten open-source language models. Each model, from Llama 2 to BERT, has its own set of strengths and weaknesses. These tools are more than just techniques to grasp language; they represent a significant advancement in how we use technology and cope with complex information.

The open-source nature of these models is critical. It enables greater access, collaboration, and the development of new AI ideas. Whether you’re a developer, researcher, or simply curious, these models provide numerous chances for learning, development, and application.

With these large language models, they’ll change things in a big way, from schools to businesses. We can work more efficiently, be more creative, and solve problems more effectively if we understand them and know how to use them. The future of AI is bright, and these models are leading the way!

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Kajal
December 6, 2023

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