News Report Technology
September 12, 2023

FLM-101B: A Super-Cost-Effective 101B-Scale Language Model Competes with Leading AI Models

FLM-101B: A Super-Cost-Effective 101B-Scale Language Model Competes with Leading AI Models

Chinese researchers have unveiled a new LLM, the FLM-101B, a decoder-only LLM boasting a remarkable 101 billion parameters. This development provides a cost-effective alternative for both research and practical applications.

Related: AI Model Training Costs Are Expected to Rise from $100 Million to $500 Million by 2030

What makes FLM-101B stand out is its exceptional performance achieved on a relatively modest budget. While it’s well-known that training LLMs from scratch can require astronomical investments, the creators of FLM-101B have shown that it’s possible to train a model with 101 billion parameters using just a $100K budget.

The experimental results are nothing short of impressive. FLM-101B has demonstrated performance levels comparable to established and resource-intensive models like GPT-3 and GLM-130B. This comparison highlights the tremendous potential of this cost-effective model, particularly on IQ benchmarks with complex contexts not present in the training data.

In a move that underlines their commitment to advancing AI research and development, the creators of FLM-101B have made this model open-source. Researchers and developers worldwide can now access and leverage this 101B-scale LLM for various applications, spanning both the Chinese and English languages.

The FLM-101B model employs a unique training approach. It rapidly accumulates knowledge from a smaller 16-billion-parameter model in the initial stages of training and progressively scales up to 101 billion parameters. This incremental approach significantly reduces training costs, making it financially feasible for a broader range of projects.

One standout feature of FLM-101B is its support for efficient window size expansion during inference. This is achieved through the use of xPos rotary position embedding, allowing the model to handle a broader context, enhancing its adaptability and usability.

FLM-101B was trained on a cluster of 24 DGX-A800 GPU servers in less than 26 days. This impressive feat underscores the model’s scalability and efficient resource utilization. The model’s training codebase, adapted from Megatron-LM, will soon be available as open-source, providing valuable insights for the AI community.

The creators of FLM-101B acknowledge potential limitations, including the model’s exposure to unsafe examples in the training corpus due to the open nature of the dataset. This caveat serves as a reminder of the importance of responsible AI usage and content moderation.

While FLM-101B has achieved remarkable results, the creators acknowledge areas for improvement. The model’s inference process, while powerful, is not yet fully optimized, leading to higher resource usage and reduced speed. However, plans are underway to introduce Flash Attention in inference, addressing this limitation.

Read more about AI:

Disclaimer

Any data, text, or other content on this page is provided as general market information and not as investment advice. Past performance is not necessarily an indicator of future results.


The Trust Project is a worldwide group of news organizations working to establish transparency standards.

Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.Ā 

More articles
Damir Yalalov
Damir Yalalov

Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.Ā 

Hot Stories
Join Our Newsletter.
Latest News

20 Most Underrated AI Startups in 2023: Ranked by Funding

AI remains a constant focal point for investors and entrepreneurs alike. While the spotlight often falls on ...

Know More

Ranked: Top 10 Countries by Estimated AI Contribution to Economy by 2030

AI stands at the cusp of a transformative era, poised to reshape virtually every sector and ignite ...

Know More
Join Our Innovative Tech Community

Read More

Read more
Justin Sun Announces 5,000 ETH Hack at HTX, Assures Full Coverage of Losses
Markets News Report
Justin Sun Announces 5,000 ETH Hack at HTX, Assures Full Coverage of Losses
September 25, 2023
Mitsubishi UFJ Trust Bank Partners with Binance Japan to Advance Stablecoin AdoptionĀ 
Markets News Report
Mitsubishi UFJ Trust Bank Partners with Binance Japan to Advance Stablecoin AdoptionĀ 
September 25, 2023
Mystiko.Network Unveils First Privacy Solution for L2 on Base Mainnet
News Report Technology
Mystiko.Network Unveils First Privacy Solution for L2 on Base Mainnet
September 25, 2023
OpenAI’s ChatGPT Unveils Major Upgrade, Adds Voice Conversation and Image Chat
News Report Technology
OpenAI’s ChatGPT Unveils Major Upgrade, Adds Voice Conversation and Image Chat
September 25, 2023
What You
Need to Know

Subscribe To Our Newsletter.
Daily search marketing tidbits for savvy pros.