This repository contains executable weights (which we call
llamafiles
) that run on Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64.
llamafile is a new format introduced by Mozilla Ocho on Nov 20th 2023.
It uses Cosmopolitan Libc to turn LLM weights into runnable llama.cpp
binaries that run on the stock installs of six OSes for both ARM64 and
AMD64.
About Quantization Formats
Your choice of quantization format depends on three things:
Will it fit in RAM or VRAM?
Is your use case reading (e.g. summarization) or writing (e.g. chatbot)?
llamafiles bigger than 4.30 GB are hard to run on Windows (see
gotchas
)
Good quants for writing (eval speed) are Q5_K_M, and Q4_0. Text
generation is bounded by memory speed, so smaller quants help, but they
also cause the LLM to hallucinate more.
Good quants for reading (prompt eval speed) are BF16, F16, Q4_0, and
Q8_0 (ordered from fastest to slowest). Prompt evaluation is bounded by
computation speed (flops) so simpler quants help.
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