update go to 1.22 in other places (#2975)

.github/workflows/test.yaml

@@ -21,7 +21,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.21'
+          go-version: '1.22'
           cache: true
       - run: go get ./...
       - run: go generate -x ./...
@@ -46,7 +46,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-go@v4
         with:
-          go-version: '1.21'
+          go-version: '1.22'
           cache: true
       - run: go get ./...
       - run: |
@@ -76,7 +76,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-go@v4
         with:
-          go-version: '1.21'
+          go-version: '1.22'
           cache: true
       - run: go get ./...
       - run: |
@@ -103,14 +103,14 @@ jobs:
     runs-on: ${{ matrix.os }}
     env:
       GOARCH: ${{ matrix.arch }}
-      CGO_ENABLED: "1"
+      CGO_ENABLED: '1'
     steps:
       - uses: actions/checkout@v4
         with:
           submodules: recursive
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.21'
+          go-version: '1.22'
           cache: false
       - run: |
           mkdir -p llm/llama.cpp/build/linux/${{ matrix.arch }}/stub/lib/
@@ -140,14 +140,14 @@ jobs:
     runs-on: ${{ matrix.os }}
     env:
       GOARCH: ${{ matrix.arch }}
-      CGO_ENABLED: "1"
+      CGO_ENABLED: '1'
     steps:
       - uses: actions/checkout@v4
         with:
           submodules: recursive
       - uses: actions/setup-go@v5
         with:
-          go-version: '1.21'
+          go-version: '1.22'
           cache: true
       - run: go get
       - uses: actions/download-artifact@v4

Dockerfile

@@ -1,4 +1,4 @@
-ARG GOLANG_VERSION=1.21.3
+ARG GOLANG_VERSION=1.22.1
 ARG CMAKE_VERSION=3.22.1
 ARG CUDA_VERSION=11.3.1
 

docs/development.md

@@ -3,7 +3,7 @@
 Install required tools:
 
 - cmake version 3.24 or higher
-- go version 1.21 or higher
+- go version 1.22 or higher
 - gcc version 11.4.0 or higher
 
 ```bash
@@ -42,15 +42,15 @@ Now you can run `ollama`:
 
 #### Linux CUDA (NVIDIA)
 
-*Your operating system distribution may already have packages for NVIDIA CUDA. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!*
+_Your operating system distribution may already have packages for NVIDIA CUDA. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!_
 
 Install `cmake` and `golang` as well as [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads)
-development and runtime packages. 
+development and runtime packages.
 
 Typically the build scripts will auto-detect CUDA, however, if your Linux distro
 or installation approach uses unusual paths, you can specify the location by
 specifying an environment variable `CUDA_LIB_DIR` to the location of the shared
-libraries, and `CUDACXX` to the location of the nvcc compiler.  You can customize
+libraries, and `CUDACXX` to the location of the nvcc compiler. You can customize
 set set of target CUDA architectues by setting `CMAKE_CUDA_ARCHITECTURES` (e.g. "50;60;70")
 
 Then generate dependencies:
@@ -67,7 +67,7 @@ go build .
 
 #### Linux ROCm (AMD)
 
-*Your operating system distribution may already have packages for AMD ROCm and CLBlast. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!*
+_Your operating system distribution may already have packages for AMD ROCm and CLBlast. Distro packages are often preferable, but instructions are distro-specific. Please consult distro-specific docs for dependencies if available!_
 
 Install [CLBlast](https://github.com/CNugteren/CLBlast/blob/master/doc/installation.md) and [ROCm](https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html) development packages first, as well as `cmake` and `golang`.
 
@@ -75,7 +75,7 @@ Typically the build scripts will auto-detect ROCm, however, if your Linux distro
 or installation approach uses unusual paths, you can specify the location by
 specifying an environment variable `ROCM_PATH` to the location of the ROCm
 install (typically `/opt/rocm`), and `CLBlast_DIR` to the location of the
-CLBlast install (typically `/usr/lib/cmake/CLBlast`).  You can also customize
+CLBlast install (typically `/usr/lib/cmake/CLBlast`). You can also customize
 the AMD GPU targets by setting AMDGPU_TARGETS (e.g. `AMDGPU_TARGETS="gfx1101;gfx1102"`)
 
 ```
@@ -88,17 +88,17 @@ Then build the binary:
 go build .
 ```
 
-ROCm requires elevated privileges to access the GPU at runtime.  On most distros you can add your user account to the `render` group, or run as root.
+ROCm requires elevated privileges to access the GPU at runtime. On most distros you can add your user account to the `render` group, or run as root.
 
 #### Advanced CPU Settings
 
 By default, running `go generate ./...` will compile a few different variations
 of the LLM library based on common CPU families and vector math capabilities,
 including a lowest-common-denominator which should run on almost any 64 bit CPU
-somewhat slowly.  At runtime, Ollama will auto-detect the optimal variation to
-load.  If you would like to build a CPU-based build customized for your
+somewhat slowly. At runtime, Ollama will auto-detect the optimal variation to
+load. If you would like to build a CPU-based build customized for your
 processor, you can set `OLLAMA_CUSTOM_CPU_DEFS` to the llama.cpp flags you would
-like to use.  For example, to compile an optimized binary for an Intel i9-9880H,
+like to use. For example, to compile an optimized binary for an Intel i9-9880H,
 you might use:
 
 ```
@@ -108,8 +108,7 @@ go build .
 
 #### Containerized Linux Build
 
-If you have Docker available, you can build linux binaries with `./scripts/build_linux.sh` which has the CUDA and ROCm dependencies included.  The resulting binary is placed in `./dist`
-
+If you have Docker available, you can build linux binaries with `./scripts/build_linux.sh` which has the CUDA and ROCm dependencies included. The resulting binary is placed in `./dist`
 
 ### Windows
 
@@ -118,7 +117,7 @@ Note: The windows build for Ollama is still under development.
 Install required tools:
 
 - MSVC toolchain - C/C++ and cmake as minimal requirements
-- go version 1.21 or higher
+- go version 1.22 or higher
 - MinGW (pick one variant) with GCC.
   - <https://www.mingw-w64.org/>
   - <https://www.msys2.org/>