About helen88
About helen88
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Note that the above configuration is for converting Aquila-34B and you might need to change the design configurations such as num_layers andhidden_size as required.
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Make sure you established the next variables in advance of functioning the command as these used in the design bodyweight conversion:
The explanation why we start off from Megatron-LM is the fact it might achieve an exceptionally large-degree useful resource utilization by combining one of the most detailed dispersed schooling and accelerating procedures, specifically for education LLMs past ten-billions of parameters.
In addition, it helps developers in swiftly creating a fundamental still complete pipeline for LLM, which includes instruction, fantastic-tuning, inference and serving. It's a number of features as follows:
To assist help the investigation, you are able to pull the corresponding mistake log out of your World-wide-web server and post it our aid workforce. You should include things like the Ray ID (that is at the bottom of the mistake web page). Additional troubleshooting methods.
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Give the education schemes of your Aquila types kind BAAI which might confirmed instruction convergence
traditional experienced formal upper course all-natural wholesome solid refined uncomplicated severe
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Ahead of accomplishing the heterogenous schooling, you'll want to lengthen the hostfile by incorporating the device sorts. You might be no cost to pick the identifier strings for these machine types, but please make sure they don't seem to be duplicated.
HOSTFILE: the hostfile from the nodes for The existing coaching, which is made up of a list of hostnames and slot counts. By way of example: