Tensor parallelism is all you need. Run LLMs on an AI cluster at home using any device. Distribute the workload, divide RAM usage, and increase inference speed.
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Updated
Nov 21, 2024 - C++
Tensor parallelism is all you need. Run LLMs on an AI cluster at home using any device. Distribute the workload, divide RAM usage, and increase inference speed.
✨ Kubectl plugin to create manifests with LLMs
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
The code for HerO: a fact-checking pipeline based on open LLMs (the runner-up in AVeriTeC)
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