LLM models are making it easier to write code and do programming. And there are plenty of options in that space. I made a below post so that you can understand the same.
Make sure to test these LLM Models on your own and figure out how to code and programming using the same.
Here are some excellent free and open-source large language models (LLMs) suitable for creating code projects and potentially deployable SaaS applications:
1. StarCoder
StarCoder, developed by Hugging Face and ServiceNow, is one of the best coding-specific models available. It is trained on "The Stack," a large dataset of permissively licensed code, and excels at writing and understanding code across multiple programming languages. It also performs well on benchmarks like HumanEval and MBPP, demonstrating its capability to generate high-quality, executable code. With built-in tools for handling sensitive data and strong support for Python and other languages, it is ideal for SaaS development and customizable via fine-tuning or prompt engineering
2. LLaMA 2 (Meta AI)
LLaMA 2 is highly versatile and scalable, offering sizes from 7 billion to 70 billion parameters. While not specifically designed for coding, its capabilities in natural language understanding and response generation make it adaptable for SaaS applications, especially when combined with prompt engineering or fine-tuning for specific tasks
3. GPT-NeoX-20B
This model from EleutherAI is based on GPT-3 architecture and supports high-quality content generation, including coding tasks. Its flexibility and multi-GPU support make it efficient for training and deployment on your hardware. It can be adapted for creating both technical and general-purpose SaaS tools.
4. Falcon 40B
Developed by the UAE's Technology Innovation Institute, Falcon 40B is a robust general-purpose model that supports advanced reasoning and coding tasks. It's licensed under Apache 2.0, making it free for commercial use. Its coding proficiency makes it a good choice for building applications with complex logic
5. BLOOM
As a multilingual model, BLOOM is ideal if your SaaS projects need localization or support for multiple languages. It’s capable of coding tasks, summarization, and embeddings, making it a flexible choice for global SaaS solutions
Recommendations for Use:
- StarCoder is the top recommendation for coding-specific projects. Its multilingual coding ability and efficient resource usage make it a perfect fit for your hardware.
- Consider starting with LLaMA 2 or Falcon 40B if your SaaS applications require broader AI functionalities beyond coding.
- Use Hugging Face’s platform to download and experiment with these models. It also offers tools for fine-tuning or customizing models for your specific SaaS requirements.
These models will allow you to create deployable and scalable applications without incurring costs, making them ideal for your goals.
