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User configures PyTorch on dual-GPU cluster with PEFT

By PulseAugur Editorial · [1 sources] ·

The user is detailing their efforts to configure PyTorch on a personal dual-GPU cluster, utilizing a Docker image with PyTorch version 2.6.0 and CUDA 12.6. They are employing libraries such as PEFT and SFTTrainer, noting the challenges and rapid evolution of the machine learning field. AI

RANK_REASON This is a personal anecdote about setting up hardware and software, not a significant industry event.

Read on Mastodon — sigmoid.social →

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User configures PyTorch on dual-GPU cluster with PEFT

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  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    I've spent a few more hours on getting pytorch working on my cheapo dual-GPU cluster. I'm now using a docker image based on pytorch:2.6.0-cuda12.6 with PEFT and

    I've spent a few more hours on getting pytorch working on my cheapo dual-GPU cluster. I'm now using a docker image based on pytorch:2.6.0-cuda12.6 with PEFT and SFTTrainer. It takes a lot of patience because the field is fast-moving, and there is lots to learn. # ml # homelab

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