The Falcon LLM is an open-source large language model created by the Technology Innovation Institute (TII) in Abu Dhabi, which also developed Noor, the largest Arabic Language Model. It has two versions: the Falcon-7B and the Falcon-40B. The Falcon-40B is a new addition to the open LLM leaderboard and has been ranked #1. The Falcon LLM has impressive performance and inference efficiency.
Key Features of Falcon Language Model
Falcon is not just a fine-tuning of another existing model but is trained from scratch with pre-training. There are two versions of the model: a 40 billion parameter model and a 7 billion parameter model. The 40 billion parameter version is one of the largest models available in the market. The model includes flash attention and other optimizations to speed up inference.
Benchmarking Results for Falcon Language Model
Hugging Face benchmarking systems show that Falcon outperforms other models in various tasks. For the arc reasoning challenge, HellaSwag, and other tasks, Falcon performs significantly better than other models. GPT 3.5 is currently performing slightly better than Falcon on few-shot tasks.
Technical Details of Models
Technical details about the Falcon 40B and Falcon 7B models released by the Technology Innovation Institute as stated below.
Falcon 40B Model
This model has been fine-tuned on an unknown dataset. It has been submitted to leaderboards and performs well. The model is decoder-only large language model and based on the GPT architecture and has 40 billion parameters. The model has been trained on a vast amount of text data consisting of refined web datasets and curated responses.
The purpose of the decoder-only model is to generate text based on an input prompt without an encoder component that would understand context. Falcon outperforms other open-source models such as Llama Stable LM Red Pajama and MPT in terms of performance.
Falcon 7B Model
This model was released on a mixture of chat instruct datasets. It's unclear if these datasets are distilled or can be used for training. The model uses the flash attention multi-query from Noam Shazeer's paper for the decoder. The 7 billion parameter model is less expensive than the 40 billion one and is more responsive for articulated responses as well as for generic instruction in a chat format.
Use Case of Falcon Model
The Falcon LLM stands as an extensive language model comprising 40 billion parameters, having undergone training on a staggering one trillion tokens. This model possesses the capability to cater to a diverse range of tasks, encompassing the realms of natural language understanding and natural language generation.
Its prowess extends to generating text that emulates human-like quality, including but not limited to poetry, code, scripts, musical compositions, emails, and letters. Essentially, the primary objective of the Falcon LLM revolves around crafting an exceptionally intelligent AI entity that serves as an invaluable workforce, proficiently undertaking responsibilities such as customer service, data analysis, and beyond.
Using the Falcon Models
The Google Colab hyperlink enables users to integrate and experiment with the 7 billion parameter model designed for chatbot queries based on instructions. To make use of this hyperlink, save it in your personal Drive, establish a connection, switch the runtime to GPU, install the required packages, and begin utilizing and exploring this live model.
For additional guidance on utilizing this model, users can visit Hugging Face's website, which offers more detailed information and instructions. All Desired links are provided under 'source' section at the end of this article.
License for Using Falcon Language Model
Falcon Language Model is not free to use. If you make more than one million dollars per year using the model, you are expected to pay royalties.
The licensing scheme for a 40 billion parameter-based model released by the Technology Innovation Institute. The royalty for using the 40 billion parameter-based model is 10%. Some people may be little disappointed with this licensing scheme. Maybe it's reasonable to charge a fee since training these models requires a lot of resources.
The license terms are little unclear, and it's uncertain if people will set up companies to provide access to the model as an API. However, Users can find specific details about the licensing agreement on the Hugging Face license page.
Risks and Limitations of Falcon 40B Model
The AI language models like Falcon 40B can be influenced by biases present in the training data. If the training data contains biases or unrepresentative information, it may unintentionally generate biased or unfair outputs. There is a potential that the actual model might be used for wrong purposes and could generate harmful content. Many models nowadays are censored to prevent generating misused content or content that generates harm.
AI models including Falcon 40B are not always able to produce accurate or optimal results due to statistical patterns learned from training data. It may generate uncertain responses, hallucinations as well as errors in output. One of the most significant limitations is that if you're going to use this for commercial use cases, you'll have to pay a 10% royalty fee.
Summary
Falcon LLM stands as an innovative and pioneering open-source large language model, extensively trained on an immense corpus of text and code. This remarkable model sets itself apart as one of the most expansive and comprehensive options currently available in the market. Comprising two distinct variants, namely Falcon-7B and Falcon-40B, the latter represents the latest and most impressive addition to the ever-growing lineup of open-source LLMs. With its versatile capabilities, Falcon LLM proves invaluable across a myriad of tasks, ranging from the creation of text with a human-like touch to the generation of poems, code, scripts, musical compositions, emails, letters, and beyond.
For various applications, the employment of Falcon-40B is highly recommended. However, it is essential to bear in mind that the utilization of Falcon LLM is not free of charge. Despite this particular restriction, the sheer power and potential of Falcon LLM as a transformative tool within the realm of natural language processing cannot be understated. This cutting-edge model possesses the ability to generate superior-quality text across diverse applications, ushering in a new era in the field.
source
TII Website: https://www.tii.ae/
Falcon link : https://falconllm.tii.ae/
Falcon 40b Huggingface Model: https://huggingface.co/tiiuae/falcon-40b
Falcon 7b Huggingface Model: https://huggingface.co/tiiuae/falcon-7b
Open LLM Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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