* docs: vulkan information
* Revert "CI: Set up temporary opt-out Vulkan support (#12614)"
This reverts commit 8b6e5baee7.
* vulkan: temporary opt-in for Vulkan support
Revert this once we're ready to enable by default.
* win: add vulkan CI build
Some route endpoints return an empty response with a 200 OK. These should be documented in the OpenAPI doc. Note that the previous deletion response was not correct.
* doc: re-add login autostart faq
This appears to have been accidentally dropped during the doc migration.
* docs: GPU updates lost on the doc update
* review comments: improve windows login disable instructions
Co-authored-by: A-Akhil <akhilrahul70@gmail.com>
This PR introduces a new ollama embed command that allows users to generate embeddings directly from the command line.
Added ollama embed MODEL [TEXT...] command for generating text embeddings
Supports both direct text arguments and stdin piping for scripted workflows
Outputs embeddings as JSON arrays (one per line)
* Bring back escape valve for llm libraries
If the new discovery logic picks the wrong library, this gives users the
ability to force a specific one using the same pattern as before. This
can also potentially speed up bootstrap discovery if one of the libraries
takes a long time to load and ultimately bind to no devices. For example
unsupported AMD iGPUS can sometimes take a while to discover and rule out.
* Bypass extra discovery on jetpack systems
On at least Jetpack6, cuda_v12 appears to expose the iGPU, but crashes later on in
cublasInit so if we detect a Jetpack, short-circuit and use that variant.
This revamps how we discover GPUs in the system by leveraging the Ollama
runner. This should eliminate inconsistency between our GPU discovery and the
runners capabilities at runtime, particularly for cases where we try to filter
out unsupported GPUs. Now the runner does that implicitly based on the actual
device list. In some cases free VRAM reporting can be unreliable which can
leaad to scheduling mistakes, so this also includes a patch to leverage more
reliable VRAM reporting libraries if available.
Automatic workarounds have been removed as only one GPU leveraged this, which
is now documented. This GPU will soon fall off the support matrix with the next
ROCm bump.
Additional cleanup of the scheduler and discovery packages can be done in the
future once we have switched on the new memory management code, and removed
support for the llama runner.
* Add support for upcoming NVIDIA Jetsons
The latest Jetsons with JetPack 7 are moving to an SBSA compatible model and
will not require building a JetPack specific variant.
* cuda: bring back dual versions
This adds back dual CUDA versions for our releases,
with v11 and v13 to cover a broad set of GPUs and
driver versions.
* win: break up native builds in build_windows.ps1
* v11 build working on windows and linux
* switch to cuda v12.8 not JIT
* Set CUDA compression to size
* enhance manual install linux docs
The current scheduler algorithm of picking the paralellism based on available
VRAM complicates the upcoming dynamic layer memory allocation algorithm. This
changes the default to 1, with the intent going forward that parallelism is
explicit and will no longer be dynamically determined. Removal of the dynamic
logic will come in a follow up.
EntropyYue
Lhiam Andrei Lingco
Jeffrey Morgan
Parth Sareen
nicole pardal
Kowyo
Daniel Hiltgen
Bruce MacDonald
Sheikh
Tomoya Fujita
Michael Yang
Thomas Pelster
Patrick Devine
Gao feng
Yoshi
ycomiti
frob
Marcelo Fornet
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