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Author SHA1 Message Date
Daniel Hiltgen
96624aa412
Merge pull request #5072 from dhiltgen/windows_path 
Move libraries out of users path
 2024-06-19 09:13:39 -07:00
Daniel Hiltgen
10f33b8537
Merge pull request #5146 from dhiltgen/backout 
Put back temporary intel GPU env var
 2024-06-19 09:12:45 -07:00
Daniel Hiltgen
4a633cc295
Merge pull request #5145 from dhiltgen/bad_loads 
Fix bad symbol load detection
 2024-06-19 09:12:33 -07:00
Daniel Hiltgen
d34d88e417 Revert "Revert "gpu: add env var for detecting Intel oneapi gpus (#5076)"" 
This reverts commit 755b4e4fc2.
 2024-06-19 08:57:41 -07:00
Daniel Hiltgen
52ce350b7a Fix bad symbol load detection 
pointer deref's weren't correct on a few libraries, which explains
some crashes on older systems or miswired symlinks for discovery libraries.
 2024-06-19 08:39:07 -07:00
Daniel Hiltgen
2abebb2cbe
Merge pull request #5128 from zhewang1-intc/fix_levelzero_empty_symbol_detect 
Fix levelzero empty symbol detect
 2024-06-19 08:33:16 -07:00
Blake Mizerany
380e06e5be types/model: remove Digest 
The Digest type in its current form is awkward to work with and presents
challenges with regard to how it serializes via String using the '-'
prefix.

We currently only use this in ollama.com, so we'll move our specific
needs around digest parsing and validation there.
 2024-06-18 20:28:11 -07:00
Wang,Zhe
badf975e45 get real func ptr. 2024-06-19 09:00:51 +08:00
Wang,Zhe
755b4e4fc2 Revert "gpu: add env var for detecting Intel oneapi gpus (#5076)" 
This reverts commit 163cd3e77c.
 2024-06-19 08:59:58 +08:00
Daniel Hiltgen
1a1c99e334 Bump latest fedora cuda repo to 39 2024-06-18 17:13:54 -07:00
Michael Yang
21adf8b6d2
Merge pull request #5121 from ollama/mxyng/deepseekv2 
deepseek v2 graph
 2024-06-18 16:30:58 -07:00
Daniel Hiltgen
784bf88b0d Wire up windows AMD driver reporting 
This seems to be ROCm version, not actually driver version, but
it may be useful for toggling logic for VRAM reporting in the future
 2024-06-18 16:22:47 -07:00
Michael Yang
e873841cbb deepseek v2 graph 2024-06-18 15:35:12 -07:00
Daniel Hiltgen
26d0bf9236
Merge pull request #5117 from dhiltgen/fix_prediction 
Handle models with divergent layer sizes
 2024-06-18 11:36:51 -07:00
Daniel Hiltgen
359b15a597 Handle models with divergent layer sizes 
The recent refactoring of the memory prediction assumed all layers
are the same size, but for some models (like deepseek-coder-v2) this
is not the case, so our predictions were significantly off.
 2024-06-18 11:05:34 -07:00
Daniel Hiltgen
b55958a587
Merge pull request #5106 from dhiltgen/clean_logs 
Tighten up memory prediction logging
 2024-06-18 09:24:38 -07:00
Daniel Hiltgen
7784ca33ce Tighten up memory prediction logging 
Prior to this change, we logged the memory prediction multiple times
as the scheduler iterates to find a suitable configuration, which can be
confusing since only the last log before the server starts is actually valid.
This now logs once just before starting the server on the final configuration.
It also reports what library instead of always saying "offloading to gpu" when
using CPU.
 2024-06-18 09:15:35 -07:00
Daniel Hiltgen
c9c8c98bf6
Merge pull request #5105 from dhiltgen/cuda_mmap 
Adjust mmap logic for cuda windows for faster model load
 2024-06-17 17:07:30 -07:00
Daniel Hiltgen
171796791f Adjust mmap logic for cuda windows for faster model load 
On Windows, recent llama.cpp changes make mmap slower in most
cases, so default to off.  This also implements a tri-state for
use_mmap so we can detect the difference between a user provided
value of true/false, or unspecified.
 2024-06-17 16:54:30 -07:00
Jeffrey Morgan
176d0f7075
Update import.md 2024-06-17 19:44:14 -04:00
Daniel Hiltgen
8ed51cac37
Merge pull request #5103 from dhiltgen/faster_win_build 
Revert powershell jobs, but keep nvcc and cmake parallelism
 2024-06-17 14:23:18 -07:00
Daniel Hiltgen
c9e6f0542d
Merge pull request #5069 from dhiltgen/ci_release 
Implement custom github release action
 2024-06-17 13:59:37 -07:00
Daniel Hiltgen
b0930626c5 Add back lower level parallel flags 
nvcc supports parallelism (threads) and cmake + make can use -j,
while msbuild requires /p:CL_MPcount=8
 2024-06-17 13:44:46 -07:00
Daniel Hiltgen
e890be4814 Revert "More parallelism on windows generate" 
This reverts commit 0577af98f4.
 2024-06-17 13:32:46 -07:00
Daniel Hiltgen
b2799f111b Move libraries out of users path 
We update the PATH on windows to get the CLI mapped, but this has
an unintended side effect of causing other apps that may use our bundled
DLLs to get terminated when we upgrade.
 2024-06-17 13:12:18 -07:00
Jeffrey Morgan
152fc202f5
llm: update llama.cpp commit to 7c26775 (#4896) 
* llm: update llama.cpp submodule to `7c26775`

* disable `LLAMA_BLAS` for now

* `-DLLAMA_OPENMP=off`
 2024-06-17 15:56:16 -04:00
Lei Jitang
4ad0d4d6d3
Fix a build warning (#5096) 
Signed-off-by: Lei Jitang <leijitang@outlook.com>
 2024-06-17 14:47:48 -04:00
Jeffrey Morgan
163cd3e77c
gpu: add env var for detecting Intel oneapi gpus (#5076) 
* gpu: add env var for detecting intel oneapi gpus

* fix build error
 2024-06-16 20:09:05 -04:00
Daniel Hiltgen
4c2c8f93dd
Merge pull request #5080 from dhiltgen/debug_intel_crash 
Add some more debugging logs for intel discovery
 2024-06-16 14:42:41 -07:00
Daniel Hiltgen
fd1e6e0590 Add some more debugging logs for intel discovery 
Also removes an unused overall count variable
 2024-06-16 07:42:52 -07:00
royjhan
89c79bec8c
Add ModifiedAt Field to /api/show (#5033) 
* Add Mod Time to Show

* Error Handling
 2024-06-15 20:53:56 -07:00
Jeffrey Morgan
c7b77004e3
docs: add missing powershell package to windows development instructions (#5075) 
* 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
 2024-06-15 23:08:09 -04:00
Daniel Hiltgen
07d143f412
Merge pull request #5058 from coolljt0725/fix_build_warning 
gpu: Fix build warning
 2024-06-15 11:52:36 -07:00
Daniel Hiltgen
a12283e2ff Implement custom github release action 
This implements the release logic we want via gh cli
to support updating releases with rc tags in place and retain
release notes and other community reactions.
 2024-06-15 11:36:56 -07:00
Daniel Hiltgen
4b0050cf0e
Merge pull request #5037 from dhiltgen/faster_win_build 
More parallelism on windows generate
 2024-06-15 08:03:05 -07:00
Daniel Hiltgen
0577af98f4 More parallelism on windows generate 
Make the build faster
 2024-06-15 07:44:55 -07:00
Daniel Hiltgen
17ce203a26
Merge pull request #4875 from dhiltgen/rocm_gfx900_workaround 
Rocm gfx900 workaround
 2024-06-15 07:38:58 -07:00
Daniel Hiltgen
d76555ffb5
Merge pull request #4874 from dhiltgen/rocm_v6_bump 
Rocm v6 bump
 2024-06-15 07:38:32 -07:00
Daniel Hiltgen
2786dff5d3
Merge pull request #4264 from dhiltgen/show_gpu_visible_settings 
Centralize GPU configuration vars
 2024-06-15 07:33:52 -07:00
Lei Jitang
225f0d1219 gpu: Fix build warning 
Signed-off-by: Lei Jitang <leijitang@outlook.com>
 2024-06-15 14:26:23 +08:00
Daniel Hiltgen
532db58311
Merge pull request #4972 from jayson-cloude/main 
fix: "Skip searching for network devices"
 2024-06-14 17:04:40 -07:00
Daniel Hiltgen
6be309e1bd Centralize GPU configuration vars 
This should aid in troubleshooting by capturing and reporting the GPU
settings at startup in the logs along with all the other server settings.
 2024-06-14 15:59:10 -07:00
Daniel Hiltgen
da3bf23354 Workaround gfx900 SDMA bugs 
Implement support for GPU env var workarounds, and leverage
this for the Vega RX 56 which needs
HSA_ENABLE_SDMA=0 set to work properly
 2024-06-14 15:38:13 -07:00
Daniel Hiltgen
26ab67732b Bump ROCm linux to 6.1.1 2024-06-14 15:37:54 -07:00
Daniel Hiltgen
45cacbaf05
Merge pull request #4517 from dhiltgen/gpu_incremental 
Enhanced GPU discovery and multi-gpu support with concurrency
 2024-06-14 15:35:00 -07:00
Daniel Hiltgen
17df6520c8 Remove mmap related output calc logic 2024-06-14 14:55:50 -07:00
Daniel Hiltgen
6f351bf586 review comments and coverage 2024-06-14 14:55:50 -07:00
Daniel Hiltgen
ff4f0cbd1d Prevent multiple concurrent loads on the same gpus 
While models are loading, the VRAM metrics are dynamic, so try
to load on a GPU that doesn't have a model actively loading, or wait
to avoid races that lead to OOMs
 2024-06-14 14:51:40 -07:00
Daniel Hiltgen
fc37c192ae Refine CPU load behavior with system memory visibility 2024-06-14 14:51:40 -07:00
Daniel Hiltgen
434dfe30c5 Reintroduce nvidia nvml library for windows 
This library will give us the most reliable free VRAM reporting on windows
to enable concurrent model scheduling.
 2024-06-14 14:51:40 -07:00