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Source channel @githubtrending · Post #15432 · Jan 23
#jupyter_notebook#chinese_llm#chinese_nlp#finetune#generative_ai#instruct_gpt#instruction_set#llama#llm#lora#open_models#open_source#open_source_models#qlora AirLLM is a tool that lets you run very large AI models on computers with limited memory by using a smart layer-by-layer loading technique instead of traditional compression methods. You can run a 70-billion-parameter model on just 4GB of GPU memory, or even a 405-billion-parameter model on 8GB, without losing model quality. The benefit is that you can use powerful AI models on affordable hardware without expensive upgrades, and the tool also offers optional compression features that can speed up performance by up to 3 times while maintaining accuracy. https://github.com/lyogavin/airllm
Search: #modulefinder
@djangoproject · Post #154 · 09/04/2016, 12:14 PM
https://docs.python.org/2/library/modulefinder.html This #module provides a #ModuleFinder class that can be used to determine the set of modules imported by a script. modulefinder.py can also be run as a script, giving the filename of a Python script as its argument, after which a report of the imported modules will be printed.
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@djangoproject · Post #145 · 09/02/2016, 03:28 AM
https://docs.python.org/3/library/modulefinder.html This module provides a #ModuleFinder class that can be used to determine the set of #modules#imported by a #script. modulefinder.py can also be run as a script, giving the #filename of a Python script as its argument, after which a report of the imported modules will be printed.