Accessing and Utilizing Pretrained LLMs: A Guide to Mistral AI and Other Open-Source Models" | HackerNoon
Briefly

from Hackernoon2 months ago
To access these LLMs, we use the Mistral AI and the open-source weights of the remaining models, available at the HuggingFace Hub repositories.
Hackernoonhttps://hackernoon.com/accessing-and-utilizing-pretrained-llms-a-guide-to-mistral-ai-and-other-open-source-models
The pretrained LLM weights are used through the transformers python library, with models loaded using standard configurations and their respective default tokenizers.
Hackernoonhttps://hackernoon.com/accessing-and-utilizing-pretrained-llms-a-guide-to-mistral-ai-and-other-open-source-models
For the instruction models, inputs were passed through each model's chat template, ensuring responses were formatted appropriately and cleaned for evaluation.
Hackernoonhttps://hackernoon.com/accessing-and-utilizing-pretrained-llms-a-guide-to-mistral-ai-and-other-open-source-models
All models were optimized for GPU resources through specific loading options, which focus on maximizing performance based on available hardware.
Hackernoonhttps://hackernoon.com/accessing-and-utilizing-pretrained-llms-a-guide-to-mistral-ai-and-other-open-source-models
Read at Hackernoon
#llms #natural-language-processing #bioinformatics #machine-learning #model-optimization
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