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Previously, some costly things were causing the loading of GGUF files
and their metadata and tensor information to be VERY slow:

  * Too many allocations when decoding strings
  * Hitting disk for each read of each key and value, resulting in a
    not-okay amount of syscalls/disk I/O.

The show API is now down to 33ms from 800ms+ for llama3 on a macbook pro
m3.

This commit also prevents collecting large arrays of values when
decoding GGUFs (if desired). When such keys are encountered, their
values are null, and are encoded as such in JSON.

Also, this fixes a broken test that was not encoding valid GGUF.

This commit changes the 'ollama run' command to defer fetching model
information until it really needs it. That is, when in interactive mode.

It also removes one such case where the model information is fetch in
duplicate, just before calling generateInteractive and then again, first
thing, in generateInteractive.

This positively impacts the performance of the command:

    ; time ./before run llama3 'hi'
    Hi! It's nice to meet you. Is there something I can help you with, or would you like to chat?

    ./before run llama3 'hi'  0.02s user 0.01s system 2% cpu 1.168 total
    ; time ./before run llama3 'hi'
    Hi! It's nice to meet you. Is there something I can help you with, or would you like to chat?

    ./before run llama3 'hi'  0.02s user 0.01s system 2% cpu 1.220 total
    ; time ./before run llama3 'hi'
    Hi! It's nice to meet you. Is there something I can help you with, or would you like to chat?

    ./before run llama3 'hi'  0.02s user 0.01s system 2% cpu 1.217 total
    ; time ./after run llama3 'hi'
    Hi! It's nice to meet you. Is there something I can help you with, or would you like to chat?

    ./after run llama3 'hi'  0.02s user 0.01s system 4% cpu 0.652 total
    ; time ./after run llama3 'hi'
    Hi! It's nice to meet you. Is there something I can help you with, or would you like to chat?

    ./after run llama3 'hi'  0.01s user 0.01s system 5% cpu 0.498 total
    ; time ./after run llama3 'hi'
    Hi! It's nice to meet you. Is there something I can help you with or would you like to chat?

    ./after run llama3 'hi'  0.01s user 0.01s system 3% cpu 0.479 total
    ; time ./after run llama3 'hi'
    Hi! It's nice to meet you. Is there something I can help you with, or would you like to chat?

    ./after run llama3 'hi'  0.02s user 0.01s system 5% cpu 0.507 total
    ; time ./after run llama3 'hi'
    Hi! It's nice to meet you. Is there something I can help you with, or would you like to chat?

    ./after run llama3 'hi'  0.02s user 0.01s system 5% cpu 0.507 total

Fix use_mmap parsing for modelfiles

fix: quantization with template

Add the new tristate parsing logic for the code path for modelfiles,
as well as a unit test.

Refine mmap default logic on linux

Bump latest fedora cuda repo to 39

If we try to use mmap when the model is larger than the system free space, loading is slower than the no-mmap approach.

handle asymmetric embedding KVs

fix: skip os.removeAll() if PID does not exist

* API Show Extended

* Initial Draft of Information
Co-Authored-By: Patrick Devine <pdevine@sonic.net>

* Clean Up

* Descriptive arg error messages and other fixes

* Second Draft of Show with Projectors Included

* Remove Chat Template

* Touches

* Prevent wrapping from files

* Verbose functionality

* Docs

* Address Feedback

* Lint

* Resolve Conflicts

* Function Name

* Tests for api/show model info

* Show Test File

* Add Projector Test

* Clean routes

* Projector Check

* Move Show Test

* Touches

* Doc update

---------
Co-authored-by: Patrick Devine <pdevine@sonic.net>

Implement log rotation for tray app

remove confusing log message

Move libraries out of users path

Put back temporary intel GPU env var

Fix bad symbol load detection

This reverts commit 755b4e4f.

pointer deref's weren't correct on a few libraries, which explains
some crashes on older systems or miswired symlinks for discovery libraries.

Fix levelzero empty symbol detect

The Digest type in its current form is awkward to work with and presents
challenges with regard to how it serializes via String using the '-'
prefix.

We currently only use this in ollama.com, so we'll move our specific
needs around digest parsing and validation there.

This reverts commit 163cd3e7.

deepseek v2 graph

Handle models with divergent layer sizes

The recent refactoring of the memory prediction assumed all layers
are the same size, but for some models (like deepseek-coder-v2) this
is not the case, so our predictions were significantly off.

Tighten up memory prediction logging

Prior to this change, we logged the memory prediction multiple times
as the scheduler iterates to find a suitable configuration, which can be
confusing since only the last log before the server starts is actually valid.
This now logs once just before starting the server on the final configuration.
It also reports what library instead of always saying "offloading to gpu" when
using CPU.

Adjust mmap logic for cuda windows for faster model load

On Windows, recent llama.cpp changes make mmap slower in most
cases, so default to off.  This also implements a tri-state for
use_mmap so we can detect the difference between a user provided
value of true/false, or unspecified.