What kind of hardware do you need to run LLaMA locally?

This page summarizes the projects mentioned and recommended in the original post on /r/LocalLLaMA

InfluxDB - Power Real-Time Data Analytics at Scale
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  • llama.cpp

    LLM inference in C/C++

  • Anyhow, you'll need the latest release of llama.cpp (here is the version that supports CUDA 12.1) and you'll also need version 12.1 of CUDA toolkit (that can be found here. Note that it's over 3 GB).

  • ml-ane-transformers

    Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)

  • Apple ML team released a paper and repo last year ( Ane_transformers )that shows how to optimize transformer architecture for ANE use prior to converting a PyTorch model to CoreML.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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