docs: update use llama-server instead #34
Merged
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I created llama-server image over the weekend, it's very small, simple and entirely static.
CPU image is, 68MB compressed and 250MB uncompressed.
GPU CUDA image is, 1.5GB compressed and 4GB uncompressed. (depending on platform)
There is also a test intel image which is very huge but supports additional optimizations for Intel devices GPUs and CPUs both.
No python or interpreted languages here, also it uses the
.cache
directory, as long as its volume mounted you can easily cache it.