Github repo to learn the OPD/OPSD and how they perform compared to GRPO, on a consumer grade GPU [P]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I am trying to learn concepts like On Policy Distillation (OPD), On Policy Self Distillation (OPSD) and how do they compare to RL algorithms like GRPO.
There are a lot of papers on this, but because of limited compute I cannot try these papers out and learn them by implementing them myself.
If someone here has worked with these algorithms and their implementation on SLMs (something that can fit a consumer grade GPU like Nvidia RTX 4090 or 5090), can they suggest either a:
Github repo, or
The right choice of SLM(s) and the datasets, where i can see the difference between, RL/GRPO and OPSD algorithms?
Thanks in advance!
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