This allows people who package up ollama on their own to place
the rocm dependencies in a peer directory to the ollama executable
much like our windows install flow.
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.
Also, document OLLAMA_HOST client semantics per command that honors it.
This looks nicer than having a general puprose environment variable
section in the root usage which was showing up after the "addition help
topics" section outputed by Cobra's default template.
It was decided this was easier to work with than using a custom template
for Cobra right now.
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.
* Add Odin Runes to README
Add Odin Runes to README
This commit adds Odin Runes to the "Community Integrations" section of the README. Odin Runes is a Java-based GPT client designed to provide seamless interaction with GPT models, enhancing productivity in prompt engineering and text generation tasks. This addition highlights the integration between Odin Runes and Ollama, offering users the flexibility to leverage large language models locally within their development workflow.
* Update README.md
this commit applies the comments of the reviewer.
