* llama: wire up builtin runner
This adds a new entrypoint into the ollama CLI to run the cgo built runner.
On Mac arm64, this will have GPU support, but on all other platforms it will
be the lowest common denominator CPU build. After we fully transition
to the new Go runners more tech-debt can be removed and we can stop building
the "default" runner via make and rely on the builtin always.
* build: Make target improvements
Add a few new targets and help for building locally.
This also adjusts the runner lookup to favor local builds, then
runners relative to the executable, and finally payloads.
* Support customized CPU flags for runners
This implements a simplified custom CPU flags pattern for the runners.
When built without overrides, the runner name contains the vector flag
we check for (AVX) to ensure we don't try to run on unsupported systems
and crash. If the user builds a customized set, we omit the naming
scheme and don't check for compatibility. This avoids checking
requirements at runtime, so that logic has been removed as well. This
can be used to build GPU runners with no vector flags, or CPU/GPU
runners with additional flags (e.g. AVX512) enabled.
* Use relative paths
If the user checks out the repo in a path that contains spaces, make gets
really confused so use relative paths for everything in-repo to avoid breakage.
* Remove payloads from main binary
* install: clean up prior libraries
This removes support for v0.3.6 and older versions (before the tar bundle)
and ensures we clean up prior libraries before extracting the bundle(s).
Without this change, runners and dependent libraries could leak when we
update and lead to subtle runtime errors.
After a user pushes their model it is not clear what to do next. Add a link
to the output of `ollama push` that tells the user where their model can now
be found.
In the past the ollama.com server would return a JWT that contained
information about the user being authenticated. This was used to return
different error messages to the user. This is no longer possible since the
token used to authenticate does not contain information about the user
anymore. Removing this code that no longer works.
Follow up changes will improve the error messages returned here, but good to
clean up first.
This avoids emitting the progress indicators to stderr, and the interactive
prompts to the output file or pipe. Running "ollama run model > out.txt"
now exits immediately, and "echo hello | ollama run model > out.txt"
produces zero stderr output and a typical response in out.txt
Currently the CLI only sends images from the most recent image-
containing message. This prevents doing things like sending
one message with an image and then a follow message with a
second image and asking for comparision based on additional
information not present in any text that was output.
It's possible that some models have a problem with this but the
CLI is not the right place to do this since any adjustments are
model-specific and should affect all clients.
Both llava:34b and minicpm-v do reasonable things with multiple
images in the history.
Provide a mechanism for users to set aside an amount of VRAM on each GPU
to make room for other applications they want to start after Ollama, or workaround
memory prediction bugs
* Fix typo and improve readability
Summary:
* Rename updatAvailableMenuID to updateAvailableMenuID
* Replace unused cmd parameter with _ in RunServer function
* Fix typos in comments
(cherry picked from commit 5b8715f0b04773369e8eb1f9e6737995a0ab3ba7)
* Update api/client.go
Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
---------
Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
The OLLAMA_MAX_VRAM env var was a temporary workaround for OOM
scenarios. With Concurrency this was no longer wired up, and the simplistic
value doesn't map to multi-GPU setups. Users can still set `num_gpu`
to limit memory usage to avoid OOM if we get our predictions wrong.
