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31 Commits

Author SHA1 Message Date
CosmicEventHorizon
e8d4eb3e68 readme: add ChibiChat to community integrations (#8883) 2025-02-06 16:08:46 -08:00
Michael Yang
ae7e368f75 build(rocm): add numa, elf (#8900) 2025-02-06 15:46:30 -08:00
oslook
31acd1ebf9 readme: add Ollama Chat WebUI for Docker to community integrations (#8084) 2025-02-06 15:41:02 -08:00
Michael Yang
9a4757ae66 build(rocm): add tinfo (#8899) 2025-02-06 15:08:12 -08:00
Abhinav Pant
7814019708 docs: add step for removing libraries in linux.md (#8897) 2025-02-06 14:54:58 -08:00
Michael Yang
b698f9a0d8 build: add missing dependencies (#8896) 2025-02-06 13:12:16 -08:00
Azis Alvriyanto
32285a6d19 format: rename test file from byte_test.go to bytes_test.go (#8865) 2025-02-06 13:06:15 -08:00
Michael Yang
1c198977ec ci: fix linux archive (#8862)
the find returns intermediate directories which pulls the parent
directories. it also omits files under lib/ollama.

switch back to globbing
2025-02-05 19:45:58 -08:00
zyphixor
330b6c50b0 readme: add simple-discord-ai to community integrations (#8659) 2025-02-05 18:35:04 -08:00
Diego Pereira
928911bc68 runner: avoid buffer overwrite when generating multiple embeddings (#8714)
Shield the code processing the embedding result
from subsequent calls that may overwrite the same
buffer to process a second input when retrieving
model embeddings.
2025-02-05 16:53:33 -08:00
Michael Yang
5b446cc815 chore: update gitattributes (#8860)
* chore: update gitattributes
* chore: add build info source
2025-02-05 16:37:18 -08:00
Daniel Lok
451c1596af readme: add MLflow Tracing as an observability integration (#8811) 2025-02-05 16:04:24 -08:00
Michael Yang
932bded12f chore: add optional field for server logs 2025-02-05 15:55:32 -08:00
Michael Yang
070ad913ac ci: fix linux archive 2025-02-05 15:08:02 -08:00
Azis Alvriyanto
8d8b9f83ae format: byte formatting test coverage (#8692)
Removed redundant checks and streamlined the switch-case structure.
Added test cases for both HumanBytes and HumanBytes2 to cover a wide range of scenarios.
2025-02-05 12:23:07 -08:00
Jeffrey Morgan
f00d359a67 docs: add section in development.md on library detection (#8855) 2025-02-05 11:16:27 -08:00
Yashwanth A
291def6adb server: increase timeout in stall detection from 5s to 30s (#8831)
In some cases, downloads slow due to disk i/o or other factors,
causing the download to restart a part. This causes the download
to "reverse" in percent completion. By increasing the timeout to 30s,
this should happen less frequently.
2025-02-05 10:00:26 -08:00
Jeffrey Morgan
cd3fbf1c49 llama: use dynamic backend loading for mllama and clip (#8835) 2025-02-05 09:46:56 -08:00
Jeffrey Morgan
c852b8e021 server: always print upload/download part info (#8832) 2025-02-04 19:30:49 -08:00
William
d8932c55e7 server: fix out of bounds exception on model download (#8746) 2025-02-04 18:52:47 -08:00
Michael Yang
63f0269f7f ci: split docker build by platform
this improves build reliability and concurrency
2025-02-04 17:04:27 -08:00
Jeffrey Morgan
4759ecae19 ml/backend/ggml: fix library loading on macOS amd64 (#8827) 2025-02-04 15:05:39 -08:00
Michael Yang
65b7ecac7b fix extra quote 2025-02-04 08:35:30 -08:00
Michael Yang
f9d2d89135 fix linux archive 2025-02-03 16:12:33 -08:00
Michael Yang
669dc31cf3 fix build 2025-02-03 15:10:51 -08:00
Tilman Griesel
d4d338c224 readme: add Chipper to community integrations (#8803) 2025-02-03 14:18:19 -08:00
Melroy van den Berg
bfdeffc375 docs: use OLLAMA_VERSION=0.5.7 for install version override (#8802) 2025-02-03 13:54:08 -08:00
Michael Yang
e806184023 fix release workflow 2025-02-03 13:19:57 -08:00
Jeffrey Morgan
50566113ac llm: do not error if LibOllamaPath does not exist (#8801) 2025-02-03 12:27:48 -08:00
Davide Bertoni
ad22ace439 docs: add missing json and shell code blocks in api.md (#8766) 2025-02-02 13:12:55 -08:00
Anıl Kaynar
f4321a421c readme: add MinimalNextOllamaChat to community integrations (#8767) 2025-02-02 12:56:10 -08:00
26 changed files with 399 additions and 299 deletions

4
.gitattributes vendored
View File

@@ -15,6 +15,10 @@ ml/backend/**/*.cu linguist-vendored
ml/backend/**/*.cuh linguist-vendored
ml/backend/**/*.m linguist-vendored
ml/backend/**/*.metal linguist-vendored
ml/backend/**/CMakeLists.txt linguist-vendored
llama/build-info.cpp linguist-generated
ml/backend/ggml/ggml/src/ggml-metal/ggml-metal-embed.s linguist-generated
* text=auto
*.go text eol=lf

View File

@@ -9,6 +9,14 @@ body:
description: What happened? What did you expect to happen?
validations:
required: true
- type: textarea
id: logs
attributes:
label: Relevant log output
description: Please copy and paste any relevant log output. See [Troubleshooting Guide](https://github.com/ollama/ollama/blob/main/docs/troubleshooting.md#how-to-troubleshoot-issues) for details.
render: shell
validations:
required: false
- type: dropdown
id: os
attributes:

View File

@@ -81,7 +81,7 @@ jobs:
path: dist/darwin-arm64
- run: |
export VERSION=${GITHUB_REF_NAME#v}
./scripts/build_darwin.sh macapp sign
./scripts/build_darwin.sh sign macapp
env:
APPLE_IDENTITY: ${{ secrets.APPLE_IDENTITY }}
APPLE_PASSWORD: ${{ secrets.APPLE_PASSWORD }}
@@ -197,33 +197,38 @@ jobs:
env:
GOFLAGS: ${{ needs.setup-environment.outputs.GOFLAGS }}
steps:
- name: Install system dependencies
- name: Install AMD64 system dependencies
if: matrix.arch == 'amd64'
run: |
$ErrorActionPreference = "Stop"
if ("${{ matrix.arch }}" -eq 'amd64') {
Start-Process "C:\msys64\usr\bin\pacman.exe" -ArgumentList @("-S", "--noconfirm", "mingw-w64-clang-x86_64-gcc-compat", "mingw-w64-clang-x86_64-clang") -NoNewWindow -Wait
echo "C:\msys64\usr\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "C:\msys64\clang64\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
} elseif ("${{ matrix.arch }}" -eq 'arm64') {
Set-ExecutionPolicy Bypass -Scope Process -Force
[System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072
iex ((New-Object System.Net.WebClient).DownloadString('https://community.chocolatey.org/install.ps1'))
echo "C:\ProgramData\chocolatey\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
Start-Process "C:\msys64\usr\bin\pacman.exe" -ArgumentList @("-S", "--noconfirm", "mingw-w64-clang-x86_64-gcc-compat", "mingw-w64-clang-x86_64-clang") -NoNewWindow -Wait
echo "C:\msys64\usr\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "C:\msys64\clang64\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
- name: Install ARM64 system dependencies
if: matrix.arch == 'arm64'
run: |
$ErrorActionPreference = "Stop"
Set-ExecutionPolicy Bypass -Scope Process -Force
[System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072
iex ((New-Object System.Net.WebClient).DownloadString('https://community.chocolatey.org/install.ps1'))
echo "C:\ProgramData\chocolatey\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
choco install -y --no-progress git gzip
echo "C:\Program Files\Git\cmd" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
choco install -y --no-progress git gzip
echo "C:\Program Files\Git\cmd" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
Invoke-WebRequest -Uri "https://github.com/mstorsjo/llvm-mingw/releases/download/20240619/llvm-mingw-20240619-ucrt-aarch64.zip" -OutFile "${{ runner.temp }}\llvm-mingw-ucrt-aarch64.zip"
Expand-Archive -Path ${{ runner.temp }}\llvm-mingw-ucrt-aarch64.zip -DestinationPath "C:\Program Files\"
$installPath=(Resolve-Path -Path "C:\Program Files\llvm-mingw-*-ucrt-aarch64").path
echo $installPath\bin | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
}
Invoke-WebRequest -Uri "https://github.com/mstorsjo/llvm-mingw/releases/download/20240619/llvm-mingw-20240619-ucrt-aarch64.zip" -OutFile "${{ runner.temp }}\llvm-mingw-ucrt-aarch64.zip"
Expand-Archive -Path ${{ runner.temp }}\llvm-mingw-ucrt-aarch64.zip -DestinationPath "C:\Program Files\"
$installPath=(Resolve-Path -Path "C:\Program Files\llvm-mingw-*-ucrt-aarch64").path
echo $installPath\bin | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with:
go-version-file: go.mod
- run: |
go build -o dist/${{ matrix.os }}-${{ matrix.arch }}/ .
- if: matrix.arch == 'arm64'
run: |
Invoke-WebRequest -Uri "https://aka.ms/vs/17/release/vc_redist.arm64.exe" -OutFile "dist\windows-arm64\vc_redist.arm64.exe"
- run: |
$env:VERSION='${{ github.ref_name }}' -Replace "v(.*)", '$1'
& .\scripts\build_windows.ps1 buildApp
@@ -258,16 +263,18 @@ jobs:
echo "${{ vars.OLLAMA_CERT }}" >ollama_inc.crt
- uses: actions/download-artifact@v4
with:
name: build-windows-*
pattern: build-windows-*
path: dist\
merge-multiple: true
- uses: actions/download-artifact@v4
with:
name: depends-windows-amd64-*
pattern: depends-windows-amd64-*
path: dist\windows-amd64\
merge-multiple: true
- run: |
& .\scripts\build_windows.ps1 gatherDependencies sign buildInstaller distZip
env:
KEY_CONTAINER: ${{ vars.KEY_CONTAINER }}
- uses: actions/upload-artifact@v4
with:
name: dist-windows
@@ -281,10 +288,13 @@ jobs:
include:
- os: linux
arch: amd64
targets: 'archive rocm'
target: archive
- os: linux
arch: amd64
target: rocm
- os: linux
arch: arm64
targets: archive
target: archive
runs-on: ${{ matrix.arch == 'arm64' && format('{0}-{1}', matrix.os, matrix.arch) || matrix.os }}
environment: release
needs: setup-environment
@@ -293,44 +303,104 @@ jobs:
steps:
- uses: actions/checkout@v4
- uses: docker/setup-buildx-action@v3
- uses: docker/build-push-action@v6
with:
context: .
platforms: ${{ matrix.os }}/${{ matrix.arch }}
target: ${{ matrix.target }}
build-args: |
GOFLAGS=${{ env.GOFLAGS }}
CGO_CFLAGS=${{ env.CGO_CFLAGS }}
CGO_CXXFLAGS=${{ env.CGO_CXXFLAGS }}
outputs: type=local,dest=dist/${{ matrix.os }}-${{ matrix.arch }}
cache-from: type=registry,ref=ollama/ollama:latest
cache-to: type=inline
- run: |
apt-get update && apt-get install pigz
for TARGET in ${{ matrix.targets }}; do docker buildx build --platform $PLATFORM --target $TARGET --build-arg GOFLAGS --build-arg CGO_CFLAGS --build-args CGO_CXXFLAGS --output type=local,dest=dist/$PLATFORM .; done
tar c -C dist/$PLATFORM . | pigz -9cv >dist/ollama-${PLATFORM//\//-}.tgz
env:
PLATFORM: ${{ matrix.os }}/${{ matrix.arch }}
for COMPONENT in bin/* lib/ollama/*; do
case "$COMPONENT" in
bin/ollama) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
lib/ollama/*.so) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
lib/ollama/cuda_v11) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
lib/ollama/cuda_v12) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
lib/ollama/cuda_jetpack5) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}-jetpack5.tar.in ;;
lib/ollama/cuda_jetpack6) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}-jetpack6.tar.in ;;
lib/ollama/rocm) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}-rocm.tar.in ;;
esac
done
working-directory: dist/${{ matrix.os }}-${{ matrix.arch }}
- run: |
for ARCHIVE in dist/${{ matrix.os }}-${{ matrix.arch }}/*.tar.in; do tar c -C dist/${{ matrix.os }}-${{ matrix.arch }} -T $ARCHIVE | pigz -9vc >$(basename ${ARCHIVE//.*/}.tgz); done
- uses: actions/upload-artifact@v4
with:
name: dist-${{ matrix.os }}-${{ matrix.arch }}
name: dist-${{ matrix.os }}-${{ matrix.arch }}-${{ matrix.target }}
path: |
dist/ollama-${{ matrix.os }}-${{ matrix.arch }}.tgz
*.tgz
docker-build:
# Build each Docker variant (OS, arch, and flavor) separately. Using QEMU is unreliable and slower.
docker-build-push:
strategy:
matrix:
include:
- flavor: 'latest=false'
platforms: linux/amd64,linux/arm64
- os: linux
arch: arm64
build-args: |
CGO_CFLAGS
CGO_CXXFLAGS
GOFLAGS
- flavor: 'latest=false,suffix=rocm'
platforms: linux/amd64
- os: linux
arch: amd64
build-args: |
CGO_CFLAGS
CGO_CXXFLAGS
GOFLAGS
- os: linux
arch: amd64
suffix: '-rocm'
build-args: |
CGO_CFLAGS
CGO_CXXFLAGS
GOFLAGS
FLAVOR=rocm
env:
GOFLAGS: ${{ needs.setup-environment.outputs.GOFLAGS }}
runs-on: linux
runs-on: ${{ matrix.arch == 'arm64' && format('{0}-{1}', matrix.os, matrix.arch) || matrix.os }}
environment: release
needs: setup-environment
env:
GOFLAGS: ${{ needs.setup-environment.outputs.GOFLAGS }}
steps:
- uses: actions/checkout@v4
- uses: docker/setup-qemu-action@v2
- uses: docker/setup-buildx-action@v2
- uses: docker/setup-buildx-action@v3
- uses: docker/login-action@v3
with:
username: ${{ vars.DOCKER_USER }}
password: ${{ secrets.DOCKER_ACCESS_TOKEN }}
- id: build-push
uses: docker/build-push-action@v6
with:
context: .
platforms: ${{ matrix.os }}/${{ matrix.arch }}
build-args: ${{ matrix.build-args }}
outputs: type=image,name=ollama/ollama,push-by-digest=true,name-canonical=true,push=true
cache-from: type=registry,ref=ollama/ollama:latest
cache-to: type=inline
- run: |
mkdir -p ${{ matrix.os }}-${{ matrix.arch }}
echo "${{ steps.build-push.outputs.digest }}" >${{ matrix.os }}-${{ matrix.arch }}-${{ matrix.suffix }}.txt
working-directory: ${{ runner.temp }}
- uses: actions/upload-artifact@v4
with:
name: digest-${{ matrix.os }}-${{ matrix.arch }}-${{ matrix.suffix }}
path: |
${{ runner.temp }}/${{ matrix.os }}-${{ matrix.arch }}-${{ matrix.suffix }}.txt
# Merge Docker images for the same flavor into a single multi-arch manifest
docker-merge-push:
strategy:
matrix:
suffix: ['', '-rocm']
runs-on: linux
environment: release
needs: [docker-build-push]
steps:
- uses: docker/login-action@v3
with:
username: ${{ vars.DOCKER_USER }}
@@ -338,22 +408,23 @@ jobs:
- id: metadata
uses: docker/metadata-action@v4
with:
flavor: ${{ matrix.flavor }}
flavor: |
latest=false
suffix=${{ matrix.suffix }}
images: |
ollama/ollama
tags: |
type=ref,enable=true,priority=600,prefix=pr-,event=pr
type=semver,pattern={{version}}
- uses: docker/build-push-action@v6
- uses: actions/download-artifact@v4
with:
context: .
push: true
platforms: ${{ matrix.platforms }}
build-args: ${{ matrix.build-args }}
tags: ${{ steps.metadata.outputs.tags }}
labels: ${{ steps.metadata.outputs.labels }}
cache-from: type=registry,ref=ollama/ollama:latest
cache-to: type=inline
provenance: false
pattern: digest-*
path: ${{ runner.temp }}
merge-multiple: true
- run: |
docker buildx imagetools create $(echo '${{ steps.metadata.outputs.json }}' | jq -cr '.tags | map("-t", .) | join(" ")') $(cat *-${{ matrix.suffix }}.txt | xargs printf 'ollama/ollama@%s ')
docker buildx imagetools inspect ollama/ollama:${{ steps.metadata.outputs.version }}
working-directory: ${{ runner.temp }}
# Aggregate all the assets and ship a release
release:
@@ -366,33 +437,24 @@ jobs:
GH_TOKEN: ${{ github.token }}
steps:
- uses: actions/checkout@v4
- name: Set Version
shell: bash
run: |
- uses: actions/download-artifact@v4
with:
name: dist-darwin
path: dist
pattern: dist-darwin
- uses: actions/download-artifact@v4
with:
name: dist-windows
path: dist
pattern: dist-windows
- uses: actions/download-artifact@v4
with:
path: dist
pattern: dist-linux-*
- uses: actions/download-artifact@v4
with:
path: dist
pattern: dist-windows
- run: |
ls -lh dist/
(cd dist; find . -type f | xargs sha256sum > ../sha256sum.txt)
mv sha256sum.txt dist/
cat dist/sha256sum.txt
merge-multiple: true
- run: find . -type f -not -name 'sha256sum.txt' | xargs sha256sum | tee sha256sum.txt
working-directory: dist
- name: Create or update Release
run: |
RELEASE_VERSION=$(echo ${GITHUB_REF_NAME} | cut -f1 -d-)"
RELEASE_VERSION="$(echo ${GITHUB_REF_NAME} | cut -f1 -d-)"
echo "Looking for existing release for ${RELEASE_VERSION}"
OLD_TAG=$(gh release ls --json name,tagName | jq -r ".[] | select(.name == \"${RELEASE_VERSION}\") | .tagName")

View File

@@ -163,5 +163,5 @@ jobs:
- uses: actions/checkout@v4
- name: Verify patches apply cleanly and do not change files
run: |
make -f Makefile.sync clean checkout sync
make -f Makefile.sync clean sync
git diff --compact-summary --exit-code

View File

@@ -29,6 +29,11 @@ if((NOT CMAKE_OSX_ARCHITECTURES MATCHES "arm64")
set(GGML_CPU_ALL_VARIANTS ON)
endif()
if (CMAKE_OSX_ARCHITECTURES MATCHES "x86_64")
set(CMAKE_BUILD_RPATH "@loader_path")
set(CMAKE_INSTALL_RPATH "@loader_path")
endif()
set(OLLAMA_BUILD_DIR ${CMAKE_BINARY_DIR}/lib/ollama)
set(OLLAMA_INSTALL_DIR ${CMAKE_INSTALL_PREFIX}/lib/ollama)
@@ -91,11 +96,12 @@ if(CMAKE_HIP_COMPILER)
if(AMDGPU_TARGETS)
add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src/ggml-hip)
set(OLLAMA_HIP_INSTALL_DIR ${OLLAMA_INSTALL_DIR}/rocm)
install(TARGETS ggml-hip
RUNTIME_DEPENDENCIES
DIRECTORIES ${HIP_BIN_INSTALL_DIR} ${HIP_LIB_INSTALL_DIR}
PRE_INCLUDE_REGEXES amdhip64 hipblas rocblas amd_comgr hsa_runtime64 rocprofiler-register drm_amdgpu drm numa
PRE_INCLUDE_REGEXES hipblas rocblas amdhip64 rocsolver amd_comgr hsa-runtime64 rocsparse tinfo rocprofiler-register drm drm_amdgpu numa elf
PRE_EXCLUDE_REGEXES ".*"
POST_EXCLUDE_REGEXES "system32"
RUNTIME DESTINATION ${OLLAMA_HIP_INSTALL_DIR} COMPONENT HIP

View File

@@ -15,7 +15,11 @@ help:
@echo " make -f $(lastword $(MAKEFILE_LIST)) clean sync"
.PHONY: sync
sync: llama/llama.cpp ml/backend/ggml/ggml apply-patches
sync: llama/build-info.cpp llama/llama.cpp ml/backend/ggml/ggml apply-patches
.PHONY: llama/build-info.cpp
llama/build-info.cpp: llama/build-info.cpp.in
sed -e 's|@FETCH_HEAD@|$(FETCH_HEAD)|' $< > $@
.PHONY: llama/llama.cpp
llama/llama.cpp: llama/vendor/ apply-patches

View File

@@ -369,7 +369,11 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Minima](https://github.com/dmayboroda/minima) (RAG with on-premises or fully local workflow)
- [aidful-ollama-model-delete](https://github.com/AidfulAI/aidful-ollama-model-delete) (User interface for simplified model cleanup)
- [Perplexica](https://github.com/ItzCrazyKns/Perplexica) (An AI-powered search engine & an open-source alternative to Perplexity AI)
- [Ollama Chat WebUI for Docker ](https://github.com/oslook/ollama-webui) (Support for local docker deployment, lightweight ollama webui)
- [AI Toolkit for Visual Studio Code](https://aka.ms/ai-tooklit/ollama-docs) (Microsoft-official VSCode extension to chat, test, evaluate models with Ollama support, and use them in your AI applications.)
- [MinimalNextOllamaChat](https://github.com/anilkay/MinimalNextOllamaChat) (Minimal Web UI for Chat and Model Control)
- [Chipper](https://github.com/TilmanGriesel/chipper) AI interface for tinkerers (Ollama, Haystack RAG, Python)
- [ChibiChat](https://github.com/CosmicEventHorizon/ChibiChat) (Kotlin-based Android app to chat with Ollama and Koboldcpp API endpoints)
### Cloud
@@ -533,6 +537,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [TextCraft](https://github.com/suncloudsmoon/TextCraft) (Copilot in Word alternative using Ollama)
- [Alfred Ollama](https://github.com/zeitlings/alfred-ollama) (Alfred Workflow)
- [TextLLaMA](https://github.com/adarshM84/TextLLaMA) A Chrome Extension that helps you write emails, correct grammar, and translate into any language
- [Simple-Discord-AI](https://github.com/zyphixor/simple-discord-ai)
### Supported backends
@@ -543,3 +548,4 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [OpenLIT](https://github.com/openlit/openlit) is an OpenTelemetry-native tool for monitoring Ollama Applications & GPUs using traces and metrics.
- [HoneyHive](https://docs.honeyhive.ai/integrations/ollama) is an AI observability and evaluation platform for AI agents. Use HoneyHive to evaluate agent performance, interrogate failures, and monitor quality in production.
- [Langfuse](https://langfuse.com/docs/integrations/ollama) is an open source LLM observability platform that enables teams to collaboratively monitor, evaluate and debug AI applications.
- [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html#automatic-tracing) is an open source LLM observability tool with a convenient API to log and visualize traces, making it easy to debug and evaluate GenAI applications.

View File

@@ -306,7 +306,7 @@ curl http://localhost:11434/api/generate -d '{
#### Response
```
```json
{
"model": "llava",
"created_at": "2023-11-03T15:36:02.583064Z",
@@ -795,7 +795,7 @@ curl http://localhost:11434/api/chat -d '{
##### Request
```
```shell
curl http://localhost:11434/api/chat -d '{
"model": "llama3.2",
"messages": [
@@ -870,7 +870,7 @@ If the messages array is empty, the model will be loaded into memory.
##### Request
```
```shell
curl http://localhost:11434/api/chat -d '{
"model": "llama3.2",
"messages": []
@@ -897,7 +897,7 @@ If the messages array is empty and the `keep_alive` parameter is set to `0`, a m
##### Request
```
```shell
curl http://localhost:11434/api/chat -d '{
"model": "llama3.2",
"messages": [],

View File

@@ -118,3 +118,14 @@ To run tests, use `go test`:
```
go test ./...
```
## Library detection
Ollama looks for acceleration libraries in the following paths relative to the `ollama` executable:
* `./lib/ollama` (Windows)
* `../lib/ollama` (Linux)
* `.` (macOS)
* `build/lib/ollama` (for development)
If the libraries are not found, Ollama will not run with any acceleration libraries.

View File

@@ -152,7 +152,7 @@ Use `OLLAMA_VERSION` environment variable with the install script to install a s
For example:
```shell
curl -fsSL https://ollama.com/install.sh | OLLAMA_VERSION=0.3.9 sh
curl -fsSL https://ollama.com/install.sh | OLLAMA_VERSION=0.5.7 sh
```
## Viewing logs
@@ -186,3 +186,9 @@ sudo rm -r /usr/share/ollama
sudo userdel ollama
sudo groupdel ollama
```
Remove installed libraries:
```shell
sudo rm -rf /usr/local/lib/ollama
```

View File

@@ -40,8 +40,6 @@ func HumanBytes(b int64) string {
}
switch {
case value >= 100:
return fmt.Sprintf("%d %s", int(value), unit)
case value >= 10:
return fmt.Sprintf("%d %s", int(value), unit)
case value != math.Trunc(value):

91
format/bytes_test.go Normal file
View File

@@ -0,0 +1,91 @@
package format
import (
"testing"
)
func TestHumanBytes(t *testing.T) {
type testCase struct {
input int64
expected string
}
tests := []testCase{
// Test bytes (B)
{0, "0 B"},
{1, "1 B"},
{999, "999 B"},
// Test kilobytes (KB)
{1000, "1 KB"},
{1500, "1.5 KB"},
{999999, "999 KB"},
// Test megabytes (MB)
{1000000, "1 MB"},
{1500000, "1.5 MB"},
{999999999, "999 MB"},
// Test gigabytes (GB)
{1000000000, "1 GB"},
{1500000000, "1.5 GB"},
{999999999999, "999 GB"},
// Test terabytes (TB)
{1000000000000, "1 TB"},
{1500000000000, "1.5 TB"},
{1999999999999, "2.0 TB"},
// Test fractional values
{1234, "1.2 KB"},
{1234567, "1.2 MB"},
{1234567890, "1.2 GB"},
}
for _, tc := range tests {
t.Run(tc.expected, func(t *testing.T) {
result := HumanBytes(tc.input)
if result != tc.expected {
t.Errorf("Expected %s, got %s", tc.expected, result)
}
})
}
}
func TestHumanBytes2(t *testing.T) {
type testCase struct {
input uint64
expected string
}
tests := []testCase{
// Test bytes (B)
{0, "0 B"},
{1, "1 B"},
{1023, "1023 B"},
// Test kibibytes (KiB)
{1024, "1.0 KiB"},
{1536, "1.5 KiB"},
{1048575, "1024.0 KiB"},
// Test mebibytes (MiB)
{1048576, "1.0 MiB"},
{1572864, "1.5 MiB"},
{1073741823, "1024.0 MiB"},
// Test gibibytes (GiB)
{1073741824, "1.0 GiB"},
{1610612736, "1.5 GiB"},
{2147483648, "2.0 GiB"},
}
for _, tc := range tests {
t.Run(tc.expected, func(t *testing.T) {
result := HumanBytes2(tc.input)
if result != tc.expected {
t.Errorf("Expected %s, got %s", tc.expected, result)
}
})
}
}

2
llama/build-info.cpp generated vendored
View File

@@ -1,4 +1,4 @@
int LLAMA_BUILD_NUMBER = 0;
char const *LLAMA_COMMIT = "ba1cb19cdd0d92e012e0f6e009e0620f854b6afd";
char const *LLAMA_COMMIT = "46e3556e01b824e52395fb050b29804b6cff2a7c";
char const *LLAMA_COMPILER = "";
char const *LLAMA_BUILD_TARGET = "";

4
llama/build-info.cpp.in Normal file
View File

@@ -0,0 +1,4 @@
int LLAMA_BUILD_NUMBER = 0;
char const *LLAMA_COMMIT = "@FETCH_HEAD@";
char const *LLAMA_COMPILER = "";
char const *LLAMA_BUILD_TARGET = "";

View File

@@ -1235,35 +1235,15 @@ struct clip_ctx * clip_model_load(const char * fname, const int verbosity = 1) {
}
}
#ifdef GGML_USE_CUDA
new_clip->backend = ggml_backend_cuda_init(0);
LOG_INF("%s: CLIP using CUDA backend\n", __func__);
#endif
#ifdef GGML_USE_METAL
new_clip->backend = ggml_backend_metal_init();
LOG_INF("%s: CLIP using Metal backend\n", __func__);
#endif
#ifdef GGML_USE_CANN
new_clip->backend = ggml_backend_cann_init(0);
LOG_INF("%s: CLIP using CANN backend\n", __func__);
#endif
#ifdef GGML_USE_VULKAN
new_clip->backend = ggml_backend_vk_init(0);
LOG_INF("%s: CLIP using Vulkan backend\n", __func__);
#endif
#ifdef GGML_USE_SYCL
new_clip->backend = ggml_backend_sycl_init(0);
LOG_INF("%s: CLIP using SYCL backend\n", __func__);
#endif
if (!new_clip->backend) {
new_clip->backend = ggml_backend_cpu_init();
LOG_INF("%s: CLIP using CPU backend\n", __func__);
ggml_backend_t backend = ggml_backend_init_best();
if (backend == nullptr) {
LOG_ERR("%s: failed to initialize backend\n", __func__);
clip_free(new_clip);
gguf_free(ctx);
return nullptr;
}
LOG_INF("%s: using %s backend\n", __func__, ggml_backend_name(backend));
new_clip->backend = backend;
// model size and capabilities
{

View File

@@ -199,21 +199,25 @@ func (c *Context) KvCacheDefrag() {
// Get the embeddings for a sequence id
func (c *Context) GetEmbeddingsSeq(seqId int) []float32 {
embeddings := unsafe.Pointer(C.llama_get_embeddings_seq(c.c, C.int(seqId)))
if embeddings == nil {
e := unsafe.Pointer(C.llama_get_embeddings_seq(c.c, C.int(seqId)))
if e == nil {
return nil
}
return unsafe.Slice((*float32)(embeddings), c.Model().NEmbd())
embeddings := make([]float32, c.Model().NEmbd())
_ = copy(embeddings, unsafe.Slice((*float32)(e), c.Model().NEmbd()))
return embeddings
}
func (c *Context) GetEmbeddingsIth(i int) []float32 {
embeddings := unsafe.Pointer(C.llama_get_embeddings_ith(c.c, C.int32_t(i)))
if embeddings == nil {
e := unsafe.Pointer(C.llama_get_embeddings_ith(c.c, C.int32_t(i)))
if e == nil {
return nil
}
return unsafe.Slice((*float32)(embeddings), c.Model().NEmbd())
embeddings := make([]float32, c.Model().NEmbd())
_ = copy(embeddings, unsafe.Slice((*float32)(e), c.Model().NEmbd()))
return embeddings
}
type ModelParams struct {

31
llama/mllama.cpp vendored
View File

@@ -558,30 +558,15 @@ struct mllama_ctx *mllama_model_load(const char *fname, const int verbosity = 1)
mllama_ctx *new_mllama = new mllama_ctx{};
#ifdef GGML_USE_CUDA
new_mllama->backend = ggml_backend_cuda_init(0);
LOG("vision using CUDA backend");
#endif
#ifdef GGML_USE_METAL
new_mllama->backend = ggml_backend_metal_init();
LOG("vision using Metal backend");
#endif
#ifdef GGML_USE_CANN
new_mllama->backend = ggml_backend_cann_init(0);
LOG("vision using CANN backend");
#endif
#ifdef GGML_USE_VULKAN
new_mllama->backend = ggml_backend_vk_init(0);
LOG("vision using Vulkan backend");
#endif
if (!new_mllama->backend) {
new_mllama->backend = ggml_backend_cpu_init();
LOG("vision using CPU backend");
ggml_backend_t backend = ggml_backend_init_best();
if (backend == nullptr) {
LOG("%s: failed to initialize backend\n", __func__);
mllama_free(new_mllama);
gguf_free(ctx);
return nullptr;
}
LOG("%s: using %s backend\n", __func__, ggml_backend_name(backend));
new_mllama->backend = backend;
// load tensors
{

View File

@@ -1,14 +1,14 @@
From 0000000000000000000000000000000000000000 Mon Sep 17 00:00:00 2001
From: jmorganca <jmorganca@gmail.com>
Date: Sat, 4 Jan 2025 22:52:48 -0800
Subject: [PATCH] re-enable gpu for clip
Subject: [PATCH] use dynamic backend loading for clip
---
examples/llava/clip.cpp | 86 ++++++++++++++++++++---------------------
1 file changed, 43 insertions(+), 43 deletions(-)
examples/llava/clip.cpp | 74 +++++++++++++++--------------------------
1 file changed, 27 insertions(+), 47 deletions(-)
diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp
index b3c1829f..718052e1 100644
index b3c1829f..86b91d5c 100644
--- a/examples/llava/clip.cpp
+++ b/examples/llava/clip.cpp
@@ -8,25 +8,25 @@
@@ -56,7 +56,7 @@ index b3c1829f..718052e1 100644
#define STB_IMAGE_IMPLEMENTATION
#include "stb_image.h"
@@ -1235,30 +1235,30 @@ struct clip_ctx * clip_model_load(const char * fname, const int verbosity = 1) {
@@ -1235,35 +1235,15 @@ struct clip_ctx * clip_model_load(const char * fname, const int verbosity = 1) {
}
}
@@ -84,30 +84,19 @@ index b3c1829f..718052e1 100644
-// new_clip->backend = ggml_backend_sycl_init(0);
-// LOG_INF("%s: CLIP using SYCL backend\n", __func__);
-//#endif
+#ifdef GGML_USE_CUDA
+ new_clip->backend = ggml_backend_cuda_init(0);
+ LOG_INF("%s: CLIP using CUDA backend\n", __func__);
+#endif
+
+#ifdef GGML_USE_METAL
+ new_clip->backend = ggml_backend_metal_init();
+ LOG_INF("%s: CLIP using Metal backend\n", __func__);
+#endif
+
+#ifdef GGML_USE_CANN
+ new_clip->backend = ggml_backend_cann_init(0);
+ LOG_INF("%s: CLIP using CANN backend\n", __func__);
+#endif
+
+#ifdef GGML_USE_VULKAN
+ new_clip->backend = ggml_backend_vk_init(0);
+ LOG_INF("%s: CLIP using Vulkan backend\n", __func__);
+#endif
+
+#ifdef GGML_USE_SYCL
+ new_clip->backend = ggml_backend_sycl_init(0);
+ LOG_INF("%s: CLIP using SYCL backend\n", __func__);
+#endif
-
- if (!new_clip->backend) {
- new_clip->backend = ggml_backend_cpu_init();
- LOG_INF("%s: CLIP using CPU backend\n", __func__);
+ ggml_backend_t backend = ggml_backend_init_best();
+ if (backend == nullptr) {
+ LOG_ERR("%s: failed to initialize backend\n", __func__);
+ clip_free(new_clip);
+ gguf_free(ctx);
+ return nullptr;
}
+ LOG_INF("%s: using %s backend\n", __func__, ggml_backend_name(backend));
+ new_clip->backend = backend;
if (!new_clip->backend) {
new_clip->backend = ggml_backend_cpu_init();
// model size and capabilities
{

View File

@@ -89,7 +89,6 @@ func LoadModel(model string, maxArraySize int) (*GGML, error) {
// NewLlamaServer will run a server for the given GPUs
// The gpu list must be a single family.
func NewLlamaServer(gpus discover.GpuInfoList, model string, ggml *GGML, adapters, projectors []string, opts api.Options, numParallel int) (LlamaServer, error) {
var err error
var systemTotalMemory uint64
var systemFreeMemory uint64
var systemSwapFreeMemory uint64
@@ -233,19 +232,9 @@ func NewLlamaServer(gpus discover.GpuInfoList, model string, ggml *GGML, adapter
params = append(params, "--multiuser-cache")
}
// get available libraries
if err != nil {
return nil, fmt.Errorf("could not get libollama dir: %w", err)
}
entries, err := os.ReadDir(discover.LibOllamaPath)
if err != nil {
return nil, fmt.Errorf("could not read libollama dir: %w", err)
}
libs := make(map[string]string)
for _, entry := range entries {
if entry.IsDir() {
if entries, err := os.ReadDir(discover.LibOllamaPath); err == nil {
for _, entry := range entries {
libs[entry.Name()] = filepath.Join(discover.LibOllamaPath, entry.Name())
}
}
@@ -285,16 +274,21 @@ func NewLlamaServer(gpus discover.GpuInfoList, model string, ggml *GGML, adapter
}
}
if port == 0 {
slog.Debug("ResolveTCPAddr failed ", "error", err)
slog.Debug("ResolveTCPAddr failed, using random port")
port = rand.Intn(65535-49152) + 49152 // get a random port in the ephemeral range
}
finalParams := []string{"runner"}
finalParams = append(finalParams, params...)
finalParams = append(finalParams, "--port", strconv.Itoa(port))
pathEnv := "LD_LIBRARY_PATH"
if runtime.GOOS == "windows" {
var pathEnv string
switch runtime.GOOS {
case "windows":
pathEnv = "PATH"
case "darwin":
pathEnv = "DYLD_LIBRARY_PATH"
default:
pathEnv = "LD_LIBRARY_PATH"
}
var libraryPaths []string
@@ -396,7 +390,8 @@ func NewLlamaServer(gpus discover.GpuInfoList, model string, ggml *GGML, adapter
strings.HasPrefix(ev, "HSA_") ||
strings.HasPrefix(ev, "GGML_") ||
strings.HasPrefix(ev, "PATH=") ||
strings.HasPrefix(ev, "LD_LIBRARY_PATH=") {
strings.HasPrefix(ev, "LD_LIBRARY_PATH=") ||
strings.HasPrefix(ev, "DYLD_LIBRARY_PATH=") {
filteredEnv = append(filteredEnv, ev)
}
}

View File

@@ -19,7 +19,7 @@ const config: ForgeConfig = {
icon: './assets/icon.icns',
extraResource: [
path.join(__dirname, '../dist/darwin/ollama'),
...fs.readdirSync(path.join(__dirname, '../dist/darwin/amd64')).map(f => path.join(__dirname, '../dist/darwin/amd64', f)),
...fs.readdirSync(path.join(__dirname, '../dist/darwin-amd64/lib/ollama')).map(f => path.join(__dirname, '../dist/darwin-amd64/lib/ollama', f)),
path.join(__dirname, './assets/iconTemplate.png'),
path.join(__dirname, './assets/iconTemplate@2x.png'),
path.join(__dirname, './assets/iconUpdateTemplate.png'),

View File

@@ -1,77 +0,0 @@
#!/usr/bin/env python3
from glob import glob
import os
TYPES_KV = ["GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0", "GGML_TYPE_F16"]
SOURCE_FATTN_VEC = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.
#include "../fattn-vec-f{vkq_size}.cuh"
DECL_FATTN_VEC_F{vkq_size}_CASE({head_size}, {type_k}, {type_v});
"""
SOURCE_FATTN_WMMA_START = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.
#include "../fattn-wmma-f16.cuh"
"""
SOURCE_FATTN_WMMA_CASE = "DECL_FATTN_WMMA_F16_CASE({head_size}, {cols_per_block}, {kq_acc_t});\n"
TYPES_MMQ = [
"GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0",
"GGML_TYPE_Q2_K", "GGML_TYPE_Q3_K", "GGML_TYPE_Q4_K", "GGML_TYPE_Q5_K", "GGML_TYPE_Q6_K",
"GGML_TYPE_IQ2_XXS", "GGML_TYPE_IQ2_XS", "GGML_TYPE_IQ2_S", "GGML_TYPE_IQ3_XXS", "GGML_TYPE_IQ3_S",
"GGML_TYPE_IQ1_S", "GGML_TYPE_IQ4_NL", "GGML_TYPE_IQ4_XS"
]
SOURCE_MMQ = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.
#include "../mmq.cuh"
DECL_MMQ_CASE({type});
"""
def get_short_name(long_quant_name):
return long_quant_name.replace("GGML_TYPE_", "").lower()
def get_head_sizes(type_k, type_v):
if type_k == "GGML_TYPE_F16" and type_v == "GGML_TYPE_F16":
return [64, 128, 256]
if type_k == "GGML_TYPE_F16":
return [64, 128]
return [128]
for filename in glob("*.cu"):
os.remove(filename)
for vkq_size in [16, 32]:
for type_k in TYPES_KV:
for type_v in TYPES_KV:
for head_size in get_head_sizes(type_k, type_v):
with open(f"fattn-vec-f{vkq_size}-instance-hs{head_size}-{get_short_name(type_k)}-{get_short_name(type_v)}.cu", "w") as f:
f.write(SOURCE_FATTN_VEC.format(vkq_size=vkq_size, head_size=head_size, type_k=type_k, type_v=type_v))
for kq_acc_t in ["half", "float"]:
for cols_per_block in [8, 16, 32]:
if kq_acc_t == "float" and cols_per_block == 8:
continue
with open(f"fattn-wmma-f16-instance-kq{kq_acc_t}-cpb{cols_per_block}.cu", "w") as f:
f.write(SOURCE_FATTN_WMMA_START)
for head_size in [64, 80, 96, 112, 128, 256]:
if cols_per_block == 8 and head_size % 32 != 0: # wmma fragment is 8x32
continue
if kq_acc_t == "float" and cols_per_block == 32 and head_size == 256: # register spilling, bad performance
continue
f.write(SOURCE_FATTN_WMMA_CASE.format(kq_acc_t=kq_acc_t, cols_per_block=cols_per_block, head_size=head_size))
for type in TYPES_MMQ:
with open(f"mmq-instance-{get_short_name(type)}.cu", "w") as f:
f.write(SOURCE_MMQ.format(type=type))

View File

@@ -41,36 +41,48 @@ func sink(level C.int, text *C.char, _ unsafe.Pointer) {
}
var OnceLoad = sync.OnceFunc(func() {
var lib struct{ name, defaultValue string }
exe, err := os.Executable()
if err != nil {
slog.Warn("failed to get executable path", "error", err)
exe = "."
}
// PATH, LD_LIBRARY_PATH, and DYLD_LIBRARY_PATH are often
// set by the parent process, however, use a default value
// if the environment variable is not set.
var name, value string
switch runtime.GOOS {
case "darwin", "linux":
lib.name = "LD_LIBRARY_PATH"
lib.defaultValue = "/usr/local/lib:/usr/lib"
case "darwin":
// On macOS, DYLD_LIBRARY_PATH is often not set, so
// we use the directory of the executable as the default.
name = "DYLD_LIBRARY_PATH"
value = filepath.Dir(exe)
case "windows":
lib.name = "PATH"
lib.defaultValue = "."
name = "PATH"
value = filepath.Join(filepath.Dir(exe), "lib", "ollama")
default:
return
name = "LD_LIBRARY_PATH"
value = filepath.Join(filepath.Dir(exe), "..", "lib", "ollama")
}
paths, ok := os.LookupEnv(lib.name)
paths, ok := os.LookupEnv(name)
if !ok {
paths = lib.defaultValue
}
if runtime.GOOS == "darwin" {
if _, ok := os.LookupEnv("DYLD_LIBRARY_PATH"); !ok {
os.Setenv("DYLD_LIBRARY_PATH", paths)
}
paths = value
}
split := filepath.SplitList(paths)
visited := make(map[string]struct{}, len(split))
for _, path := range split {
abspath, _ := filepath.Abs(path)
abspath, err := filepath.Abs(path)
if err != nil {
slog.Error("failed to get absolute path", "error", err)
continue
}
if _, ok := visited[abspath]; !ok {
func() {
cpath := C.CString(path)
slog.Debug("ggml backend load all from path", "path", abspath)
cpath := C.CString(abspath)
defer C.free(unsafe.Pointer(cpath))
C.ggml_backend_load_all_from_path(cpath)
}()

View File

@@ -32,35 +32,35 @@ _build_darwin() {
status "Building darwin $ARCH dynamic backends"
cmake -B build/darwin-$ARCH \
-DCMAKE_OSX_ARCHITECTURES=x86_64 \
-DCMAKE_OSX_DEPLOYMENT_TARGET=11.3
-DCMAKE_OSX_DEPLOYMENT_TARGET=11.3 \
-DCMAKE_INSTALL_PREFIX=$INSTALL_PREFIX
cmake --build build/darwin-$ARCH --target ggml-cpu -j
install build/darwin-$ARCH/lib/ollama/*.{dylib,so} $INSTALL_PREFIX
cmake --install build/darwin-$ARCH --component CPU
fi
done
}
_sign_darwin() {
status "Creating universal binary..."
lipo -create -output dist/darwin/ollama dist/darwin/*/ollama
mkdir -p dist/darwin
lipo -create -output dist/darwin/ollama dist/darwin-*/ollama
chmod +x dist/darwin/ollama
if [ -z "$APPLE_IDENTITY" ]; then
status "No APPLE_IDENTITY set, skipping code signing"
return
if [ -n "$APPLE_IDENTITY" ]; then
for F in dist/darwin/ollama dist/darwin-amd64/lib/ollama/*; do
codesign -f --timestamp -s "$APPLE_IDENTITY" --identifier ai.ollama.ollama --options=runtime $F
done
# create a temporary zip for notarization
TEMP=$(mktemp -u).zip
ditto -c -k --keepParent dist/darwin/ollama "$TEMP"
xcrun notarytool submit "$TEMP" --wait --timeout 10m --apple-id $APPLE_ID --password $APPLE_PASSWORD --team-id $APPLE_TEAM_ID
rm -f "$TEMP"
fi
for F in dist/darwin/ollama dist/darwin/amd64/lib*; do
codesign -f --timestamp -s "$APPLE_IDENTITY" --identifier ai.ollama.ollama --options=runtime $F
done
# create a temporary zip for notarization
TEMP=$(mktemp -u).zip
ditto -c -k --keepParent dist/darwin/ollama "$TEMP"
xcrun notarytool submit dist/darwin/temp.zip --wait --timeout 10m --apple-id $APPLE_ID --password $APPLE_PASSWORD --team-id $APPLE_TEAM_ID
rm -f "$TEMP"
# create a universal tarball
status "Creating universal tarball..."
tar -cf dist/ollama-darwin.tar --strip-components 2 dist/darwin/ollama
tar -rf dist/ollama-darwin.tar --strip-components 3 dist/darwin/amd64/lib*
tar -rf dist/ollama-darwin.tar --strip-components 4 dist/darwin-amd64/lib/
gzip -9vc <dist/ollama-darwin.tar >dist/ollama-darwin.tgz
}

View File

@@ -208,8 +208,15 @@ function buildInstaller() {
}
function distZip() {
write-host "Generating stand-alone distribution zip file ${script:SRC_DIR}\dist\ollama-windows-${script:TARGET_ARCH}.zip"
Compress-Archive -Path "${script:SRC_DIR}\dist\windows-${script:TARGET_ARCH}\*" -DestinationPath "${script:SRC_DIR}\dist\ollama-windows-${script:TARGET_ARCH}.zip" -Force
if (Test-Path -Path "${script:SRC_DIR}\dist\windows-amd64") {
write-host "Generating stand-alone distribution zip file ${script:SRC_DIR}\dist\ollama-windows-amd64.zip"
Compress-Archive -Path "${script:SRC_DIR}\dist\windows-amd64\*" -DestinationPath "${script:SRC_DIR}\dist\ollama-windows-amd64.zip" -Force
}
if (Test-Path -Path "${script:SRC_DIR}\dist\windows-arm64") {
write-host "Generating stand-alone distribution zip file ${script:SRC_DIR}\dist\ollama-windows-arm64.zip"
Compress-Archive -Path "${script:SRC_DIR}\dist\windows-arm64\*" -DestinationPath "${script:SRC_DIR}\dist\ollama-windows-arm64.zip" -Force
}
}
checkEnv

View File

@@ -172,7 +172,10 @@ func (b *blobDownload) Prepare(ctx context.Context, requestURL *url.URL, opts *r
}
}
slog.Info(fmt.Sprintf("downloading %s in %d %s part(s)", b.Digest[7:19], len(b.Parts), format.HumanBytes(b.Parts[0].Size)))
if len(b.Parts) > 0 {
slog.Info(fmt.Sprintf("downloading %s in %d %s part(s)", b.Digest[7:19], len(b.Parts), format.HumanBytes(b.Parts[0].Size)))
}
return nil
}
@@ -365,7 +368,7 @@ func (b *blobDownload) downloadChunk(ctx context.Context, requestURL *url.URL, w
lastUpdated := part.lastUpdated
part.lastUpdatedMu.Unlock()
if !lastUpdated.IsZero() && time.Since(lastUpdated) > 5*time.Second {
if !lastUpdated.IsZero() && time.Since(lastUpdated) > 30*time.Second {
const msg = "%s part %d stalled; retrying. If this persists, press ctrl-c to exit, then 'ollama pull' to find a faster connection."
slog.Info(fmt.Sprintf(msg, b.Digest[7:19], part.N))
// reset last updated

View File

@@ -108,7 +108,9 @@ func (b *blobUpload) Prepare(ctx context.Context, requestURL *url.URL, opts *reg
offset += size
}
slog.Info(fmt.Sprintf("uploading %s in %d %s part(s)", b.Digest[7:19], len(b.Parts), format.HumanBytes(b.Parts[0].Size)))
if len(b.Parts) > 0 {
slog.Info(fmt.Sprintf("uploading %s in %d %s part(s)", b.Digest[7:19], len(b.Parts), format.HumanBytes(b.Parts[0].Size)))
}
requestURL, err = url.Parse(location)
if err != nil {