The v5 hip library returns unsupported GPUs which wont enumerate at
inference time in the runner so this makes sure we align discovery. The
gfx906 cards are no longer supported so we shouldn't compile with that
GPU type as it wont enumerate at runtime.
This also adjusts our algorithm to favor our bundled ROCm.
I've confirmed VRAM reporting still doesn't work properly so we
can't yet enable concurrency by default.
Refine the way we log GPU discovery to improve the non-debug
output, and report more actionable log messages when possible
to help users troubleshoot on their own.
* OpenAI v1 models
* Refactor Writers
* Add Test
Co-Authored-By: Attila Kerekes
* Credit Co-Author
Co-Authored-By: Attila Kerekes <439392+keriati@users.noreply.github.com>
* Empty List Testing
* Use Namespace for Ownedby
* Update Test
* Add back envconfig
* v1/models docs
* Use ModelName Parser
* Test Names
* Remove Docs
* Clean Up
* Test name
Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
* Add Middleware for Chat and List
* Testing Cleanup
* Test with Fatal
* Add functionality to chat test
* OpenAI: /v1/models/{model} compatibility (#5028)
* Retrieve Model
* OpenAI Delete Model
* Retrieve Middleware
* Remove Delete from Branch
* Update Test
* Middleware Test File
* Function name
* Cleanup
* Test Update
* Test Update
---------
Co-authored-by: Attila Kerekes <439392+keriati@users.noreply.github.com>
Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
* 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>
* docs: add missing instruction for powershell build
The powershell script for building Ollama on Windows now requires the `ThreadJob` module. Add this to the instructions and dependency list.
* Update development.md
* Added instructions to easily install specific versions on faq.md
* Small typo
* Moved instructions on how to install specific version to linux.md
* Update docs/linux.md
* Update docs/linux.md
---------
Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
* note on naming restrictions
else push would fail with cryptic
retrieving manifest
Error: file does not exist
==> maybe change that in code too
* Update docs/import.md
---------
Co-authored-by: C-4-5-3 <154636388+C-4-5-3@users.noreply.github.com>
Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
* Update api.md
Changed the calculation of tps (token/s) in the documentation
* Update docs/api.md
---------
Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
This commit introduces a more friendly way to build Ollama dependencies
and the binary without abusing `go generate` and removing the
unnecessary extra steps it brings with it.
This script also provides nicer feedback to the user about what is
happening during the build process.
At the end, it prints a helpful message to the user about what to do
next (e.g. run the new local Ollama).
The recent ROCm change partially removed idempotent
payloads, but the ggml-metal.metal file for mac was still
idempotent. This finishes switching to always extract
the payloads, and now that idempotentcy is gone, the
version directory is no longer useful.
This refines where we extract the LLM libraries to by adding a new
OLLAMA_HOME env var, that defaults to `~/.ollama` The logic was already
idempotenent, so this should speed up startups after the first time a
new release is deployed. It also cleans up after itself.
We now build only a single ROCm version (latest major) on both windows
and linux. Given the large size of ROCms tensor files, we split the
dependency out. It's bundled into the installer on windows, and a
separate download on windows. The linux install script is now smart and
detects the presence of AMD GPUs and looks to see if rocm v6 is already
present, and if not, then downloads our dependency tar file.
For Linux discovery, we now use sysfs and check each GPU against what
ROCm supports so we can degrade to CPU gracefully instead of having
llama.cpp+rocm assert/crash on us. For Windows, we now use go's windows
dynamic library loading logic to access the amdhip64.dll APIs to query
the GPU information.
