GitLab

This will make it simpler for CI to accumulate artifacts from prior steps

* llm: limit generation to 10x context size to avoid run on generations

* add comment

* simplify condition statement

If we get our predictions wrong, this can be used to
set a lower memory limit as a workaround.  Recent multi-gpu
refactoring accidentally removed it, so this adds it back.

Now that the llm runner is an executable and not just a dll, more users are facing
problems with security policy configurations on windows that prevent users
writing to directories and then executing binaries from the same location.
This change removes payloads from the main executable on windows and shifts them
over to be packaged in the installer and discovered based on the executables location.
This also adds a new zip file for people who want to "roll their own" installation model.

Tmp cleaners can nuke the file out from underneath us.  This detects the missing
runner, and re-initializes the payloads.

This change adds support for multiple concurrent requests, as well as
loading multiple models by spawning multiple runners. The default
settings are currently set at 1 concurrent request per model and only 1
loaded model at a time, but these can be adjusted by setting
OLLAMA_NUM_PARALLEL and OLLAMA_MAX_LOADED_MODELS.

Fixed improper env references

Forgot a " on the write-host

Added OLLAMA_CUSTOM_CUDA_DEFS and OLLAMA_CUSTOM_ROCM_DEFS to customize GPU builds on Windows

Added OLLAMA_CUSTOM_CUDA_DEFS and OLLAMA_CUSTOM_ROCM_DEFS instead of OLLAMA_CUSTOM_GPU_DEFS

* parse wide argv characters on windows

* cleanup

* move cleanup to end of `main`

TODO: update padding() to _only_ returning the padding

* terminate subprocess if receiving `SIGINT` or `SIGTERM` signals while model is loading

* use `unload` in signal handler