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Enable parallel building of the GPU architectures.

* Reapply "feat: incremental gguf parser (#10822)" (#11114)

This reverts commit a6e64fbd.

* fix older ggufs

We don't check the return status after computing the graph, which
can silently lead to bad outputs if we try to keep going and future
computation succeeds. This appears to happens in certain cases on
Apple M2 devices.

Fixes #11070

Verified these fail on 0.9.1 and pass on HEAD.

Removes a test under benchmark/ that is unused

Reverts PR #11115. The original change was mistakingly reverted instead of #10822

This reverts commit aaa78180.

This reverts commit 6b04cad7.

Fixes issue where tool calls that don't expect any parameters were
not being parsed. This also fixes two additional issues: one where
2+ tool calls would not be correctly parsed, and cases where tool calls
with invalid parameters would still get parsed

* ggml: test write gguf order
* ggml: fix write tensor order

* incremental gguf parser
* gguf: update test to not rely on gguf on disc
* re-use existing create gguf
* read capabilities from gguf kv
* kv exists
* update tests
* s/doneFunc/successFunc/g
* new buffered reader

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Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>

The current splitDim function only operates on tensors that are split evenly which isn't always the case, e.g. a QKV tensor. This change allows the function to be used for arbitrary splits

if tokenizer.json is already copied, skip tokenizer.model

while nn.Linear.Forward isn't applicable for sparse MLP, it's still
a nice container for the tensors

When a user elects to keep the existing app, the
new Ollama is named `Ollama 2.app`
This fixes the app startup flow to handle this naming pattern.

Give the desktop app a hint to start fast.

This reverts commit 09430011.

When starting the app in the background, start it hidden.

Fix an array out of bounds crash

move thinking logic into its own package

export ThinkingParser

This enables matching up devices and information reported by the backend
with system management libraries such as nvml to get accurate free
memory reporting.