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this fixes a subtle bug with makeRequestWithRetry where an HTTP status
error on a retried request will potentially not return the right err

Fix up the CPU fallback selection

The memory changes and multi-variant change had some merge
glitches I missed.  This fixes them so we actually get the cpu llm lib
and best variant for the given system.

fix build and lint

Support multiple LLM libs; ROCm v5 and v6; Rosetta, AVX, and AVX2 compatible CPU builds

add lint and test on pull_request

This switches darwin to dynamic loading, and refactors the code now that no
static linking of the library is used on any platform

This reduces the built-in linux version to not use any vector extensions
which enables the resulting builds to run under Rosetta on MacOS in
Docker.  Then at runtime it checks for the actual CPU vector
extensions and loads the best CPU library available

In some cases we may want multiple variants for a given GPU type or CPU.
This adds logic to have an optional Variant which we can use to select
an optimal library, but also allows us to try multiple variants in case
some fail to load.

This can be useful for scenarios such as ROCm v5 vs v6 incompatibility
or potentially CPU features.

* increase minimum cuda overhead and fix minimum overhead for multi-gpu

* fix multi gpu overhead

* limit overhead to 10% of all gpus

* better wording

* allocate fixed amount before layers

* fixed only includes graph alloc

Smarter GPU Management library detection

When there are multiple management libraries installed on a system
not every one will be compatible with the current driver.  This change
improves our management library algorithm to build up a set of discovered
libraries based on glob patterns, and then try all of them until we're able to
load one without error.

This can help speed up incremental builds when you're only testing one
archicture, like amd64.  E.g.
BUILD_ARCH=amd64 ./scripts/build_linux.sh && scp ./dist/ollama-linux-amd64 test-system:

update submodule to commit `1fc2f265ff9377a37fd2c61eae9cd813a3491bea` until its main branch is fixed

* update submodule to `6efb8eb30e7025b168f3fda3ff83b9b386428ad6`
* unblock condition variable in `update_slots` when closing server

Fixed assistant in the example response.

Set corret CUDA minimum compute capability version

If you attempt to run the current CUDA build on compute capability 5.2
cards, you'll hit the following failure:
cuBLAS error 15 at ggml-cuda.cu:7956: the requested functionality is not supported

fix: set template without triple quotes