LightOn Mini-instruct 40B
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Mini-instruct is a powerful, multilingual AI model with 40B parameters trained on high-quality data from a variety of sources. It is built using Falcon LLM technology from the Technology Innovation Institute.
The amount of data in Mini corpus is 1 trillion tokens. We mainly used data from the public web to pre-train our model, with strong filtering, toxicity reduction, and deduplication to ensure that only high-quality data is retained.
It's designed to understand natural language and respond to instructions tailored to your needs. It works great in consumer products, such as chatbots, voice assistants, and smart appliances. It also has broad applications in the enterprise, such as natural language generation for automated customer service or agent assist for customer support.
The API documentation, resources on prompt design and parameters are available in the documentation: https://lightonai.github.io/paradigm-docs/
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