Compare commits
2 Commits
v0.1.33-rc
...
pdevine/sh
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
c0314cc41c | ||
|
|
686178b6c5 |
2
.gitattributes
vendored
2
.gitattributes
vendored
@@ -1,3 +1 @@
|
||||
llm/ext_server/* linguist-vendored
|
||||
|
||||
* text eol=lf
|
||||
13
.github/workflows/release.yaml
vendored
13
.github/workflows/release.yaml
vendored
@@ -311,18 +311,29 @@ jobs:
|
||||
- uses: actions/download-artifact@v4
|
||||
with:
|
||||
name: generate-windows-cpu
|
||||
path: |
|
||||
llm/build
|
||||
dist/windows-amd64
|
||||
- uses: actions/download-artifact@v4
|
||||
with:
|
||||
name: generate-windows-cuda
|
||||
path: |
|
||||
llm/build
|
||||
dist/windows-amd64
|
||||
- uses: actions/download-artifact@v4
|
||||
with:
|
||||
name: windows-cuda-deps
|
||||
path: dist/deps
|
||||
- uses: actions/download-artifact@v4
|
||||
with:
|
||||
name: windows-rocm-deps
|
||||
path: dist/deps
|
||||
- uses: actions/download-artifact@v4
|
||||
with:
|
||||
name: generate-windows-rocm
|
||||
path: |
|
||||
llm/build
|
||||
dist/windows-amd64
|
||||
- run: dir llm/build
|
||||
- run: |
|
||||
$gopath=(get-command go).source | split-path -parent
|
||||
@@ -331,6 +342,8 @@ jobs:
|
||||
$env:CMAKE_SYSTEM_VERSION="10.0.22621.0"
|
||||
$env:PATH="$gopath;$env:PATH"
|
||||
$env:OLLAMA_SKIP_GENERATE="1"
|
||||
$env:NVIDIA_DIR=$(resolve-path ".\dist\deps")
|
||||
$env:HIP_PATH=$(resolve-path ".\dist\deps")
|
||||
& .\scripts\build_windows.ps1
|
||||
- uses: actions/upload-artifact@v4
|
||||
with:
|
||||
|
||||
15
.github/workflows/test.yaml
vendored
15
.github/workflows/test.yaml
vendored
@@ -1,15 +1,5 @@
|
||||
name: test
|
||||
|
||||
concurrency:
|
||||
# For PRs, later CI runs preempt previous ones. e.g. a force push on a PR
|
||||
# cancels running CI jobs and starts all new ones.
|
||||
#
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||||
# For non-PR pushes, concurrency.group needs to be unique for every distinct
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||||
# CI run we want to have happen. Use run_id, which in practice means all
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||||
# non-PR CI runs will be allowed to run without preempting each other.
|
||||
group: ${{ github.workflow }}-$${{ github.pull_request.number || github.run_id }}
|
||||
cancel-in-progress: true
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
paths:
|
||||
@@ -31,9 +21,7 @@ jobs:
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||||
- id: changes
|
||||
run: |
|
||||
changed() {
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||||
git diff-tree -r --no-commit-id --name-only \
|
||||
$(git merge-base ${{ github.event.pull_request.base.sha }} ${{ github.event.pull_request.head.sha }}) \
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||||
${{ github.event.pull_request.head.sha }} \
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||||
git diff-tree -r --no-commit-id --name-only ${{ github.event.pull_request.base.sha }} ${{ github.event.pull_request.head.sha }} \
|
||||
| xargs python3 -c "import sys; print(any([x.startswith('$1') for x in sys.argv[1:]]))"
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||||
}
|
||||
|
||||
@@ -295,6 +283,7 @@ jobs:
|
||||
with:
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||||
go-version-file: go.mod
|
||||
cache: true
|
||||
- run: go get
|
||||
- run: |
|
||||
case ${{ matrix.arch }} in
|
||||
amd64) echo ARCH=x86_64 ;;
|
||||
|
||||
3
.gitignore
vendored
3
.gitignore
vendored
@@ -11,5 +11,4 @@ ggml-metal.metal
|
||||
.idea
|
||||
test_data
|
||||
*.crt
|
||||
llm/build
|
||||
__debug_bin*
|
||||
llm/build
|
||||
10
README.md
10
README.md
@@ -1,5 +1,5 @@
|
||||
<div align="center">
|
||||
<img alt="ollama" height="200px" src="https://github.com/ollama/ollama/assets/3325447/0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7">
|
||||
<img alt="ollama" height="200px" src="https://github.com/ollama/ollama/assets/3325447/0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7">
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||||
</div>
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||||
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||||
# Ollama
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||||
@@ -51,7 +51,7 @@ Here are some example models that can be downloaded:
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||||
| ------------------ | ---------- | ----- | ------------------------------ |
|
||||
| Llama 3 | 8B | 4.7GB | `ollama run llama3` |
|
||||
| Llama 3 | 70B | 40GB | `ollama run llama3:70b` |
|
||||
| Phi-3 | 3.8B | 2.3GB | `ollama run phi3` |
|
||||
| Phi-3 | 3,8B | 2.3GB | `ollama run phi3` |
|
||||
| Mistral | 7B | 4.1GB | `ollama run mistral` |
|
||||
| Neural Chat | 7B | 4.1GB | `ollama run neural-chat` |
|
||||
| Starling | 7B | 4.1GB | `ollama run starling-lm` |
|
||||
@@ -173,7 +173,7 @@ I'm a basic program that prints the famous "Hello, world!" message to the consol
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||||
The image features a yellow smiley face, which is likely the central focus of the picture.
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||||
```
|
||||
|
||||
### Pass the prompt as an argument
|
||||
### Pass in prompt as arguments
|
||||
|
||||
```
|
||||
$ ollama run llama3 "Summarize this file: $(cat README.md)"
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||||
@@ -294,7 +294,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
|
||||
- [RAGFlow: Open-source Retrieval-Augmented Generation engine based on deep document understanding](https://github.com/infiniflow/ragflow)
|
||||
- [chat: chat web app for teams](https://github.com/swuecho/chat)
|
||||
- [Lobe Chat](https://github.com/lobehub/lobe-chat) with [Integrating Doc](https://lobehub.com/docs/self-hosting/examples/ollama)
|
||||
- [Ollama RAG Chatbot: Local Chat with multiple PDFs using Ollama and RAG.](https://github.com/datvodinh/rag-chatbot.git)
|
||||
- [Ollama RAG Chatbot: Local Chat with multiples PDFs using Ollama and RAG.](https://github.com/datvodinh/rag-chatbot.git)
|
||||
|
||||
### Terminal
|
||||
|
||||
@@ -384,4 +384,4 @@ See the [API documentation](./docs/api.md) for all endpoints.
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||||
- [Discord-Ollama Chat Bot](https://github.com/kevinthedang/discord-ollama) (Generalized TypeScript Discord Bot w/ Tuning Documentation)
|
||||
|
||||
### Supported backends
|
||||
- [llama.cpp](https://github.com/ggerganov/llama.cpp) project founded by Georgi Gerganov.
|
||||
- [llama.cpp](https://github.com/ggerganov/llama.cpp) project founded by Georgi Gerganov.
|
||||
|
||||
@@ -18,7 +18,6 @@ import (
|
||||
"net/url"
|
||||
"os"
|
||||
"runtime"
|
||||
"strconv"
|
||||
"strings"
|
||||
|
||||
"github.com/ollama/ollama/format"
|
||||
@@ -58,36 +57,12 @@ func checkError(resp *http.Response, body []byte) error {
|
||||
// If the variable is not specified, a default ollama host and port will be
|
||||
// used.
|
||||
func ClientFromEnvironment() (*Client, error) {
|
||||
ollamaHost, err := GetOllamaHost()
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
return &Client{
|
||||
base: &url.URL{
|
||||
Scheme: ollamaHost.Scheme,
|
||||
Host: net.JoinHostPort(ollamaHost.Host, ollamaHost.Port),
|
||||
},
|
||||
http: http.DefaultClient,
|
||||
}, nil
|
||||
}
|
||||
|
||||
type OllamaHost struct {
|
||||
Scheme string
|
||||
Host string
|
||||
Port string
|
||||
}
|
||||
|
||||
func GetOllamaHost() (OllamaHost, error) {
|
||||
defaultPort := "11434"
|
||||
|
||||
hostVar := os.Getenv("OLLAMA_HOST")
|
||||
hostVar = strings.TrimSpace(strings.Trim(strings.TrimSpace(hostVar), "\"'"))
|
||||
|
||||
scheme, hostport, ok := strings.Cut(hostVar, "://")
|
||||
scheme, hostport, ok := strings.Cut(os.Getenv("OLLAMA_HOST"), "://")
|
||||
switch {
|
||||
case !ok:
|
||||
scheme, hostport = "http", hostVar
|
||||
scheme, hostport = "http", os.Getenv("OLLAMA_HOST")
|
||||
case scheme == "http":
|
||||
defaultPort = "80"
|
||||
case scheme == "https":
|
||||
@@ -107,14 +82,12 @@ func GetOllamaHost() (OllamaHost, error) {
|
||||
}
|
||||
}
|
||||
|
||||
if portNum, err := strconv.ParseInt(port, 10, 32); err != nil || portNum > 65535 || portNum < 0 {
|
||||
return OllamaHost{}, ErrInvalidHostPort
|
||||
}
|
||||
|
||||
return OllamaHost{
|
||||
Scheme: scheme,
|
||||
Host: host,
|
||||
Port: port,
|
||||
return &Client{
|
||||
base: &url.URL{
|
||||
Scheme: scheme,
|
||||
Host: net.JoinHostPort(host, port),
|
||||
},
|
||||
http: http.DefaultClient,
|
||||
}, nil
|
||||
}
|
||||
|
||||
|
||||
@@ -1,12 +1,6 @@
|
||||
package api
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"net"
|
||||
"testing"
|
||||
|
||||
"github.com/stretchr/testify/assert"
|
||||
)
|
||||
import "testing"
|
||||
|
||||
func TestClientFromEnvironment(t *testing.T) {
|
||||
type testCase struct {
|
||||
@@ -46,40 +40,4 @@ func TestClientFromEnvironment(t *testing.T) {
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
hostTestCases := map[string]*testCase{
|
||||
"empty": {value: "", expect: "127.0.0.1:11434"},
|
||||
"only address": {value: "1.2.3.4", expect: "1.2.3.4:11434"},
|
||||
"only port": {value: ":1234", expect: ":1234"},
|
||||
"address and port": {value: "1.2.3.4:1234", expect: "1.2.3.4:1234"},
|
||||
"hostname": {value: "example.com", expect: "example.com:11434"},
|
||||
"hostname and port": {value: "example.com:1234", expect: "example.com:1234"},
|
||||
"zero port": {value: ":0", expect: ":0"},
|
||||
"too large port": {value: ":66000", err: ErrInvalidHostPort},
|
||||
"too small port": {value: ":-1", err: ErrInvalidHostPort},
|
||||
"ipv6 localhost": {value: "[::1]", expect: "[::1]:11434"},
|
||||
"ipv6 world open": {value: "[::]", expect: "[::]:11434"},
|
||||
"ipv6 no brackets": {value: "::1", expect: "[::1]:11434"},
|
||||
"ipv6 + port": {value: "[::1]:1337", expect: "[::1]:1337"},
|
||||
"extra space": {value: " 1.2.3.4 ", expect: "1.2.3.4:11434"},
|
||||
"extra quotes": {value: "\"1.2.3.4\"", expect: "1.2.3.4:11434"},
|
||||
"extra space+quotes": {value: " \" 1.2.3.4 \" ", expect: "1.2.3.4:11434"},
|
||||
"extra single quotes": {value: "'1.2.3.4'", expect: "1.2.3.4:11434"},
|
||||
}
|
||||
|
||||
for k, v := range hostTestCases {
|
||||
t.Run(k, func(t *testing.T) {
|
||||
t.Setenv("OLLAMA_HOST", v.value)
|
||||
|
||||
oh, err := GetOllamaHost()
|
||||
if err != v.err {
|
||||
t.Fatalf("expected %s, got %s", v.err, err)
|
||||
}
|
||||
|
||||
if err == nil {
|
||||
host := net.JoinHostPort(oh.Host, oh.Port)
|
||||
assert.Equal(t, v.expect, host, fmt.Sprintf("%s: expected %s, got %s", k, v.expect, host))
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
@@ -207,6 +207,7 @@ type ShowResponse struct {
|
||||
System string `json:"system,omitempty"`
|
||||
Details ModelDetails `json:"details,omitempty"`
|
||||
Messages []Message `json:"messages,omitempty"`
|
||||
ModelInfo string `json:"modelinfo,omitempty"`
|
||||
}
|
||||
|
||||
type CopyRequest struct {
|
||||
@@ -309,7 +310,6 @@ func (m *Metrics) Summary() {
|
||||
}
|
||||
|
||||
var ErrInvalidOpts = errors.New("invalid options")
|
||||
var ErrInvalidHostPort = errors.New("invalid port specified in OLLAMA_HOST")
|
||||
|
||||
func (opts *Options) FromMap(m map[string]interface{}) error {
|
||||
valueOpts := reflect.ValueOf(opts).Elem() // names of the fields in the options struct
|
||||
@@ -397,10 +397,8 @@ func (opts *Options) FromMap(m map[string]interface{}) error {
|
||||
func DefaultOptions() Options {
|
||||
return Options{
|
||||
// options set on request to runner
|
||||
NumPredict: -1,
|
||||
|
||||
// set a minimal num_keep to avoid issues on context shifts
|
||||
NumKeep: 4,
|
||||
NumPredict: -1,
|
||||
NumKeep: 0,
|
||||
Temperature: 0.8,
|
||||
TopK: 40,
|
||||
TopP: 0.9,
|
||||
|
||||
@@ -43,36 +43,37 @@ func getCLIFullPath(command string) string {
|
||||
return command
|
||||
}
|
||||
|
||||
func start(ctx context.Context, command string) (*exec.Cmd, error) {
|
||||
func SpawnServer(ctx context.Context, command string) (chan int, error) {
|
||||
done := make(chan int)
|
||||
|
||||
logDir := filepath.Dir(ServerLogFile)
|
||||
_, err := os.Stat(logDir)
|
||||
if errors.Is(err, os.ErrNotExist) {
|
||||
if err := os.MkdirAll(logDir, 0o755); err != nil {
|
||||
return done, fmt.Errorf("create ollama server log dir %s: %v", logDir, err)
|
||||
}
|
||||
}
|
||||
|
||||
cmd := getCmd(ctx, getCLIFullPath(command))
|
||||
// send stdout and stderr to a file
|
||||
stdout, err := cmd.StdoutPipe()
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to spawn server stdout pipe: %w", err)
|
||||
return done, fmt.Errorf("failed to spawn server stdout pipe %s", err)
|
||||
}
|
||||
stderr, err := cmd.StderrPipe()
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to spawn server stderr pipe: %w", err)
|
||||
return done, fmt.Errorf("failed to spawn server stderr pipe %s", err)
|
||||
}
|
||||
stdin, err := cmd.StdinPipe()
|
||||
if err != nil {
|
||||
return done, fmt.Errorf("failed to spawn server stdin pipe %s", err)
|
||||
}
|
||||
|
||||
// TODO - rotation
|
||||
logFile, err := os.OpenFile(ServerLogFile, os.O_APPEND|os.O_WRONLY|os.O_CREATE, 0755)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to create server log: %w", err)
|
||||
return done, fmt.Errorf("failed to create server log %w", err)
|
||||
}
|
||||
|
||||
logDir := filepath.Dir(ServerLogFile)
|
||||
_, err = os.Stat(logDir)
|
||||
if err != nil {
|
||||
if !errors.Is(err, os.ErrNotExist) {
|
||||
return nil, fmt.Errorf("stat ollama server log dir %s: %v", logDir, err)
|
||||
|
||||
}
|
||||
|
||||
if err := os.MkdirAll(logDir, 0o755); err != nil {
|
||||
return nil, fmt.Errorf("create ollama server log dir %s: %v", logDir, err)
|
||||
}
|
||||
}
|
||||
|
||||
go func() {
|
||||
defer logFile.Close()
|
||||
io.Copy(logFile, stdout) //nolint:errcheck
|
||||
@@ -116,33 +117,19 @@ func start(ctx context.Context, command string) (*exec.Cmd, error) {
|
||||
|
||||
// run the command and wait for it to finish
|
||||
if err := cmd.Start(); err != nil {
|
||||
return nil, fmt.Errorf("failed to start server %w", err)
|
||||
return done, fmt.Errorf("failed to start server %w", err)
|
||||
}
|
||||
if cmd.Process != nil {
|
||||
slog.Info(fmt.Sprintf("started ollama server with pid %d", cmd.Process.Pid))
|
||||
}
|
||||
slog.Info(fmt.Sprintf("ollama server logs %s", ServerLogFile))
|
||||
|
||||
return cmd, nil
|
||||
}
|
||||
|
||||
func SpawnServer(ctx context.Context, command string) (chan int, error) {
|
||||
done := make(chan int)
|
||||
|
||||
go func() {
|
||||
// Keep the server running unless we're shuttind down the app
|
||||
crashCount := 0
|
||||
for {
|
||||
slog.Info("starting server...")
|
||||
cmd, err := start(ctx, command)
|
||||
if err != nil {
|
||||
crashCount++
|
||||
slog.Error(fmt.Sprintf("failed to start server %s", err))
|
||||
time.Sleep(500 * time.Millisecond * time.Duration(crashCount))
|
||||
continue
|
||||
}
|
||||
|
||||
cmd.Wait() //nolint:errcheck
|
||||
stdin.Close()
|
||||
var code int
|
||||
if cmd.ProcessState != nil {
|
||||
code = cmd.ProcessState.ExitCode()
|
||||
@@ -156,12 +143,15 @@ func SpawnServer(ctx context.Context, command string) (chan int, error) {
|
||||
default:
|
||||
crashCount++
|
||||
slog.Warn(fmt.Sprintf("server crash %d - exit code %d - respawning", crashCount, code))
|
||||
time.Sleep(500 * time.Millisecond * time.Duration(crashCount))
|
||||
break
|
||||
time.Sleep(500 * time.Millisecond)
|
||||
if err := cmd.Start(); err != nil {
|
||||
slog.Error(fmt.Sprintf("failed to restart server %s", err))
|
||||
// Keep trying, but back off if we keep failing
|
||||
time.Sleep(time.Duration(crashCount) * time.Second)
|
||||
}
|
||||
}
|
||||
}
|
||||
}()
|
||||
|
||||
return done, nil
|
||||
}
|
||||
|
||||
|
||||
@@ -88,12 +88,16 @@ DialogFontSize=12
|
||||
[Files]
|
||||
Source: ".\app.exe"; DestDir: "{app}"; DestName: "{#MyAppExeName}" ; Flags: ignoreversion 64bit
|
||||
Source: "..\ollama.exe"; DestDir: "{app}"; Flags: ignoreversion 64bit
|
||||
Source: "..\dist\windows-{#ARCH}\*.dll"; DestDir: "{app}"; Flags: ignoreversion 64bit
|
||||
Source: "..\dist\windows-{#ARCH}\ollama_runners\*"; DestDir: "{app}\ollama_runners"; Flags: ignoreversion 64bit recursesubdirs
|
||||
Source: "..\dist\windows-amd64\*.dll"; DestDir: "{app}"; Flags: ignoreversion 64bit
|
||||
Source: "..\dist\windows-amd64\ollama_runners\*"; DestDir: "{app}\ollama_runners"; Flags: ignoreversion 64bit recursesubdirs
|
||||
Source: "..\dist\ollama_welcome.ps1"; DestDir: "{app}"; Flags: ignoreversion
|
||||
Source: ".\assets\app.ico"; DestDir: "{app}"; Flags: ignoreversion
|
||||
#if DirExists("..\dist\windows-amd64\rocm")
|
||||
Source: "..\dist\windows-amd64\rocm\*"; DestDir: "{app}\rocm\"; Flags: ignoreversion recursesubdirs
|
||||
; Assumes v5.7, may need adjustments for v6
|
||||
#if GetEnv("HIP_PATH") != ""
|
||||
Source: "{#GetEnv('HIP_PATH')}\bin\hipblas.dll"; DestDir: "{app}\rocm\"; Flags: ignoreversion
|
||||
Source: "{#GetEnv('HIP_PATH')}\bin\rocblas.dll"; DestDir: "{app}\rocm\"; Flags: ignoreversion
|
||||
; amdhip64.dll dependency comes from the driver and must be installed already
|
||||
Source: "{#GetEnv('HIP_PATH')}\bin\rocblas\library\*"; DestDir: "{app}\rocm\rocblas\library\"; Flags: ignoreversion
|
||||
#endif
|
||||
|
||||
|
||||
@@ -129,7 +133,7 @@ SetupAppRunningError=Another Ollama installer is running.%n%nPlease cancel or fi
|
||||
|
||||
|
||||
;FinishedHeadingLabel=Run your first model
|
||||
;FinishedLabel=%nRun this command in a PowerShell or cmd terminal.%n%n%n ollama run llama3
|
||||
;FinishedLabel=%nRun this command in a PowerShell or cmd terminal.%n%n%n ollama run llama2
|
||||
;ClickFinish=%n
|
||||
|
||||
[Registry]
|
||||
|
||||
36
auth/auth.go
36
auth/auth.go
@@ -10,44 +10,12 @@ import (
|
||||
"log/slog"
|
||||
"os"
|
||||
"path/filepath"
|
||||
"strings"
|
||||
|
||||
"golang.org/x/crypto/ssh"
|
||||
)
|
||||
|
||||
const defaultPrivateKey = "id_ed25519"
|
||||
|
||||
func keyPath() (string, error) {
|
||||
home, err := os.UserHomeDir()
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
|
||||
return filepath.Join(home, ".ollama", defaultPrivateKey), nil
|
||||
}
|
||||
|
||||
func GetPublicKey() (string, error) {
|
||||
keyPath, err := keyPath()
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
|
||||
privateKeyFile, err := os.ReadFile(keyPath)
|
||||
if err != nil {
|
||||
slog.Info(fmt.Sprintf("Failed to load private key: %v", err))
|
||||
return "", err
|
||||
}
|
||||
|
||||
privateKey, err := ssh.ParsePrivateKey(privateKeyFile)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
|
||||
publicKey := ssh.MarshalAuthorizedKey(privateKey.PublicKey())
|
||||
|
||||
return strings.TrimSpace(string(publicKey)), nil
|
||||
}
|
||||
|
||||
func NewNonce(r io.Reader, length int) (string, error) {
|
||||
nonce := make([]byte, length)
|
||||
if _, err := io.ReadFull(r, nonce); err != nil {
|
||||
@@ -58,11 +26,13 @@ func NewNonce(r io.Reader, length int) (string, error) {
|
||||
}
|
||||
|
||||
func Sign(ctx context.Context, bts []byte) (string, error) {
|
||||
keyPath, err := keyPath()
|
||||
home, err := os.UserHomeDir()
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
|
||||
keyPath := filepath.Join(home, ".ollama", defaultPrivateKey)
|
||||
|
||||
privateKeyFile, err := os.ReadFile(keyPath)
|
||||
if err != nil {
|
||||
slog.Info(fmt.Sprintf("Failed to load private key: %v", err))
|
||||
|
||||
279
cmd/cmd.go
279
cmd/cmd.go
@@ -17,7 +17,6 @@ import (
|
||||
"os"
|
||||
"os/signal"
|
||||
"path/filepath"
|
||||
"regexp"
|
||||
"runtime"
|
||||
"strings"
|
||||
"syscall"
|
||||
@@ -32,13 +31,10 @@ import (
|
||||
"golang.org/x/term"
|
||||
|
||||
"github.com/ollama/ollama/api"
|
||||
"github.com/ollama/ollama/auth"
|
||||
"github.com/ollama/ollama/format"
|
||||
"github.com/ollama/ollama/parser"
|
||||
"github.com/ollama/ollama/progress"
|
||||
"github.com/ollama/ollama/server"
|
||||
"github.com/ollama/ollama/types/errtypes"
|
||||
"github.com/ollama/ollama/types/model"
|
||||
"github.com/ollama/ollama/version"
|
||||
)
|
||||
|
||||
@@ -57,6 +53,8 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
|
||||
p := progress.NewProgress(os.Stderr)
|
||||
defer p.Stop()
|
||||
|
||||
bars := make(map[string]*progress.Bar)
|
||||
|
||||
modelfile, err := os.ReadFile(filename)
|
||||
if err != nil {
|
||||
return err
|
||||
@@ -97,16 +95,95 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
|
||||
return err
|
||||
}
|
||||
|
||||
// TODO make this work w/ adapters
|
||||
if fi.IsDir() {
|
||||
// this is likely a safetensors or pytorch directory
|
||||
// TODO make this work w/ adapters
|
||||
tempfile, err := tempZipFiles(path)
|
||||
tf, err := os.CreateTemp("", "ollama-tf")
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
defer os.RemoveAll(tempfile)
|
||||
defer os.RemoveAll(tf.Name())
|
||||
|
||||
path = tempfile
|
||||
zf := zip.NewWriter(tf)
|
||||
|
||||
files := []string{}
|
||||
|
||||
tfiles, err := filepath.Glob(filepath.Join(path, "pytorch_model-*.bin"))
|
||||
if err != nil {
|
||||
return err
|
||||
} else if len(tfiles) == 0 {
|
||||
tfiles, err = filepath.Glob(filepath.Join(path, "model-*.safetensors"))
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
}
|
||||
|
||||
files = append(files, tfiles...)
|
||||
|
||||
if len(files) == 0 {
|
||||
return fmt.Errorf("no models were found in '%s'", path)
|
||||
}
|
||||
|
||||
// add the safetensor/torch config file + tokenizer
|
||||
files = append(files, filepath.Join(path, "config.json"))
|
||||
files = append(files, filepath.Join(path, "params.json"))
|
||||
files = append(files, filepath.Join(path, "added_tokens.json"))
|
||||
files = append(files, filepath.Join(path, "tokenizer.model"))
|
||||
|
||||
for _, fn := range files {
|
||||
f, err := os.Open(fn)
|
||||
|
||||
// just skip whatever files aren't there
|
||||
if os.IsNotExist(err) {
|
||||
if strings.HasSuffix(fn, "tokenizer.model") {
|
||||
// try the parent dir before giving up
|
||||
parentDir := filepath.Dir(path)
|
||||
newFn := filepath.Join(parentDir, "tokenizer.model")
|
||||
f, err = os.Open(newFn)
|
||||
if os.IsNotExist(err) {
|
||||
continue
|
||||
} else if err != nil {
|
||||
return err
|
||||
}
|
||||
} else {
|
||||
continue
|
||||
}
|
||||
} else if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
fi, err := f.Stat()
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
h, err := zip.FileInfoHeader(fi)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
h.Name = filepath.Base(fn)
|
||||
h.Method = zip.Store
|
||||
|
||||
w, err := zf.CreateHeader(h)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
_, err = io.Copy(w, f)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
if err := zf.Close(); err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
if err := tf.Close(); err != nil {
|
||||
return err
|
||||
}
|
||||
path = tf.Name()
|
||||
}
|
||||
|
||||
digest, err := createBlob(cmd, client, path)
|
||||
@@ -114,17 +191,10 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
|
||||
return err
|
||||
}
|
||||
|
||||
name := c.Name
|
||||
if c.Name == "model" {
|
||||
name = "from"
|
||||
}
|
||||
|
||||
re := regexp.MustCompile(fmt.Sprintf(`(?im)^(%s)\s+%s\s*$`, name, c.Args))
|
||||
modelfile = re.ReplaceAll(modelfile, []byte("$1 @"+digest))
|
||||
modelfile = bytes.ReplaceAll(modelfile, []byte(c.Args), []byte("@"+digest))
|
||||
}
|
||||
}
|
||||
|
||||
bars := make(map[string]*progress.Bar)
|
||||
fn := func(resp api.ProgressResponse) error {
|
||||
if resp.Digest != "" {
|
||||
spinner.Stop()
|
||||
@@ -158,114 +228,6 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
|
||||
return nil
|
||||
}
|
||||
|
||||
func tempZipFiles(path string) (string, error) {
|
||||
tempfile, err := os.CreateTemp("", "ollama-tf")
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
defer tempfile.Close()
|
||||
|
||||
zipfile := zip.NewWriter(tempfile)
|
||||
defer zipfile.Close()
|
||||
|
||||
detectContentType := func(path string) (string, error) {
|
||||
f, err := os.Open(path)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
defer f.Close()
|
||||
|
||||
var b bytes.Buffer
|
||||
b.Grow(512)
|
||||
|
||||
if _, err := io.CopyN(&b, f, 512); err != nil && !errors.Is(err, io.EOF) {
|
||||
return "", err
|
||||
}
|
||||
|
||||
contentType, _, _ := strings.Cut(http.DetectContentType(b.Bytes()), ";")
|
||||
return contentType, nil
|
||||
}
|
||||
|
||||
glob := func(pattern, contentType string) ([]string, error) {
|
||||
matches, err := filepath.Glob(pattern)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
for _, safetensor := range matches {
|
||||
if ct, err := detectContentType(safetensor); err != nil {
|
||||
return nil, err
|
||||
} else if ct != contentType {
|
||||
return nil, fmt.Errorf("invalid content type: expected %s for %s", ct, safetensor)
|
||||
}
|
||||
}
|
||||
|
||||
return matches, nil
|
||||
}
|
||||
|
||||
var files []string
|
||||
if st, _ := glob(filepath.Join(path, "model*.safetensors"), "application/octet-stream"); len(st) > 0 {
|
||||
// safetensors files might be unresolved git lfs references; skip if they are
|
||||
// covers model-x-of-y.safetensors, model.fp32-x-of-y.safetensors, model.safetensors
|
||||
files = append(files, st...)
|
||||
} else if pt, _ := glob(filepath.Join(path, "pytorch_model*.bin"), "application/zip"); len(pt) > 0 {
|
||||
// pytorch files might also be unresolved git lfs references; skip if they are
|
||||
// covers pytorch_model-x-of-y.bin, pytorch_model.fp32-x-of-y.bin, pytorch_model.bin
|
||||
files = append(files, pt...)
|
||||
} else if pt, _ := glob(filepath.Join(path, "consolidated*.pth"), "application/octet-stream"); len(pt) > 0 {
|
||||
// pytorch files might also be unresolved git lfs references; skip if they are
|
||||
// covers consolidated.x.pth, consolidated.pth
|
||||
files = append(files, pt...)
|
||||
} else {
|
||||
return "", errors.New("no safetensors or torch files found")
|
||||
}
|
||||
|
||||
// add configuration files, json files are detected as text/plain
|
||||
js, err := glob(filepath.Join(path, "*.json"), "text/plain")
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
files = append(files, js...)
|
||||
|
||||
if tks, _ := glob(filepath.Join(path, "tokenizer.model"), "application/octet-stream"); len(tks) > 0 {
|
||||
// add tokenizer.model if it exists, tokenizer.json is automatically picked up by the previous glob
|
||||
// tokenizer.model might be a unresolved git lfs reference; error if it is
|
||||
files = append(files, tks...)
|
||||
} else if tks, _ := glob(filepath.Join(path, "**/tokenizer.model"), "text/plain"); len(tks) > 0 {
|
||||
// some times tokenizer.model is in a subdirectory (e.g. meta-llama/Meta-Llama-3-8B)
|
||||
files = append(files, tks...)
|
||||
}
|
||||
|
||||
for _, file := range files {
|
||||
f, err := os.Open(file)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
defer f.Close()
|
||||
|
||||
fi, err := f.Stat()
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
|
||||
zfi, err := zip.FileInfoHeader(fi)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
|
||||
zf, err := zipfile.CreateHeader(zfi)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
|
||||
if _, err := io.Copy(zf, f); err != nil {
|
||||
return "", err
|
||||
}
|
||||
}
|
||||
|
||||
return tempfile.Name(), nil
|
||||
}
|
||||
|
||||
func createBlob(cmd *cobra.Command, client *api.Client, path string) (string, error) {
|
||||
bin, err := os.Open(path)
|
||||
if err != nil {
|
||||
@@ -360,47 +322,6 @@ func RunHandler(cmd *cobra.Command, args []string) error {
|
||||
return generateInteractive(cmd, opts)
|
||||
}
|
||||
|
||||
func errFromUnknownKey(unknownKeyErr error) error {
|
||||
// find SSH public key in the error message
|
||||
sshKeyPattern := `ssh-\w+ [^\s"]+`
|
||||
re := regexp.MustCompile(sshKeyPattern)
|
||||
matches := re.FindStringSubmatch(unknownKeyErr.Error())
|
||||
|
||||
if len(matches) > 0 {
|
||||
serverPubKey := matches[0]
|
||||
|
||||
localPubKey, err := auth.GetPublicKey()
|
||||
if err != nil {
|
||||
return unknownKeyErr
|
||||
}
|
||||
|
||||
if runtime.GOOS == "linux" && serverPubKey != localPubKey {
|
||||
// try the ollama service public key
|
||||
svcPubKey, err := os.ReadFile("/usr/share/ollama/.ollama/id_ed25519.pub")
|
||||
if err != nil {
|
||||
return unknownKeyErr
|
||||
}
|
||||
localPubKey = strings.TrimSpace(string(svcPubKey))
|
||||
}
|
||||
|
||||
// check if the returned public key matches the local public key, this prevents adding a remote key to the user's account
|
||||
if serverPubKey != localPubKey {
|
||||
return unknownKeyErr
|
||||
}
|
||||
|
||||
var msg strings.Builder
|
||||
msg.WriteString(unknownKeyErr.Error())
|
||||
msg.WriteString("\n\nYour ollama key is:\n")
|
||||
msg.WriteString(localPubKey)
|
||||
msg.WriteString("\nAdd your key at:\n")
|
||||
msg.WriteString("https://ollama.com/settings/keys")
|
||||
|
||||
return errors.New(msg.String())
|
||||
}
|
||||
|
||||
return unknownKeyErr
|
||||
}
|
||||
|
||||
func PushHandler(cmd *cobra.Command, args []string) error {
|
||||
client, err := api.ClientFromEnvironment()
|
||||
if err != nil {
|
||||
@@ -448,20 +369,6 @@ func PushHandler(cmd *cobra.Command, args []string) error {
|
||||
|
||||
request := api.PushRequest{Name: args[0], Insecure: insecure}
|
||||
if err := client.Push(cmd.Context(), &request, fn); err != nil {
|
||||
if spinner != nil {
|
||||
spinner.Stop()
|
||||
}
|
||||
if strings.Contains(err.Error(), "access denied") {
|
||||
return errors.New("you are not authorized to push to this namespace, create the model under a namespace you own")
|
||||
}
|
||||
host := model.ParseName(args[0]).Host
|
||||
isOllamaHost := strings.HasSuffix(host, ".ollama.ai") || strings.HasSuffix(host, ".ollama.com")
|
||||
if strings.Contains(err.Error(), errtypes.UnknownOllamaKeyErrMsg) && isOllamaHost {
|
||||
// the user has not added their ollama key to ollama.com
|
||||
// re-throw an error with a more user-friendly message
|
||||
return errFromUnknownKey(err)
|
||||
}
|
||||
|
||||
return err
|
||||
}
|
||||
|
||||
@@ -889,17 +796,19 @@ func generate(cmd *cobra.Command, opts runOptions) error {
|
||||
}
|
||||
|
||||
func RunServer(cmd *cobra.Command, _ []string) error {
|
||||
// retrieve the OLLAMA_HOST environment variable
|
||||
ollamaHost, err := api.GetOllamaHost()
|
||||
host, port, err := net.SplitHostPort(strings.Trim(os.Getenv("OLLAMA_HOST"), "\"'"))
|
||||
if err != nil {
|
||||
return err
|
||||
host, port = "127.0.0.1", "11434"
|
||||
if ip := net.ParseIP(strings.Trim(os.Getenv("OLLAMA_HOST"), "[]")); ip != nil {
|
||||
host = ip.String()
|
||||
}
|
||||
}
|
||||
|
||||
if err := initializeKeypair(); err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
ln, err := net.Listen("tcp", net.JoinHostPort(ollamaHost.Host, ollamaHost.Port))
|
||||
ln, err := net.Listen("tcp", net.JoinHostPort(host, port))
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
@@ -1125,7 +1034,7 @@ Environment Variables:
|
||||
RunE: ListHandler,
|
||||
}
|
||||
copyCmd := &cobra.Command{
|
||||
Use: "cp SOURCE DESTINATION",
|
||||
Use: "cp SOURCE TARGET",
|
||||
Short: "Copy a model",
|
||||
Args: cobra.ExactArgs(2),
|
||||
PreRunE: checkServerHeartbeat,
|
||||
|
||||
@@ -51,7 +51,7 @@ 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
|
||||
a set of target CUDA architectures by setting `CMAKE_CUDA_ARCHITECTURES` (e.g. "50;60;70")
|
||||
set set of target CUDA architectues by setting `CMAKE_CUDA_ARCHITECTURES` (e.g. "50;60;70")
|
||||
|
||||
Then generate dependencies:
|
||||
|
||||
@@ -142,4 +142,4 @@ In addition to the common Windows development tools described above, install AMD
|
||||
- [AMD HIP](https://www.amd.com/en/developer/resources/rocm-hub/hip-sdk.html)
|
||||
- [Strawberry Perl](https://strawberryperl.com/)
|
||||
|
||||
Lastly, add `ninja.exe` included with MSVC to the system path (e.g. `C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\Common7\IDE\CommonExtensions\Microsoft\CMake\Ninja`).
|
||||
Lastly, add `ninja.exe` included with MSVC to the system path (e.g. `C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\Common7\IDE\CommonExtensions\Microsoft\CMake\Ninja`).
|
||||
@@ -17,12 +17,10 @@ Let's start by asking a simple question that we can get an answer to from the **
|
||||
Then we can create a model and ask the question:
|
||||
|
||||
```python
|
||||
from langchain_community.llms import Ollama
|
||||
ollama = Ollama(
|
||||
base_url='http://localhost:11434',
|
||||
model="llama3"
|
||||
)
|
||||
print(ollama.invoke("why is the sky blue"))
|
||||
from langchain.llms import Ollama
|
||||
ollama = Ollama(base_url='http://localhost:11434',
|
||||
model="llama2")
|
||||
print(ollama("why is the sky blue"))
|
||||
```
|
||||
|
||||
Notice that we are defining the model and the base URL for Ollama.
|
||||
|
||||
@@ -14,7 +14,7 @@ As this is a preview release, you should expect a few bugs here and there. If
|
||||
you run into a problem you can reach out on
|
||||
[Discord](https://discord.gg/ollama), or file an
|
||||
[issue](https://github.com/ollama/ollama/issues).
|
||||
Logs will often be helpful in diagnosing the problem (see
|
||||
Logs will often be helpful in dianosing the problem (see
|
||||
[Troubleshooting](#troubleshooting) below)
|
||||
|
||||
## System Requirements
|
||||
|
||||
@@ -140,7 +140,7 @@ func AMDGetGPUInfo() []GpuInfo {
|
||||
}
|
||||
|
||||
if int(major) < RocmComputeMin {
|
||||
slog.Warn(fmt.Sprintf("amdgpu too old gfx%d%d%x", major, minor, patch), "gpu", gpuID)
|
||||
slog.Warn(fmt.Sprintf("amdgpu too old gfx%d%d%d", major, minor, patch), "gpu", gpuID)
|
||||
continue
|
||||
}
|
||||
|
||||
@@ -266,7 +266,7 @@ func AMDGetGPUInfo() []GpuInfo {
|
||||
}
|
||||
slog.Debug("rocm supported GPUs", "types", supported)
|
||||
}
|
||||
gfx := fmt.Sprintf("gfx%d%d%x", gpuInfo.Major, gpuInfo.Minor, gpuInfo.Patch)
|
||||
gfx := fmt.Sprintf("gfx%d%d%d", gpuInfo.Major, gpuInfo.Minor, gpuInfo.Patch)
|
||||
if !slices.Contains[[]string, string](supported, gfx) {
|
||||
slog.Warn("amdgpu is not supported", "gpu", gpuInfo.ID, "gpu_type", gfx, "library", libDir, "supported_types", supported)
|
||||
// TODO - consider discrete markdown just for ROCM troubleshooting?
|
||||
|
||||
@@ -149,16 +149,13 @@ func AMDGetGPUInfo() []GpuInfo {
|
||||
}
|
||||
}
|
||||
if patch != "" {
|
||||
// Patch rev is hex; e.g. gfx90a
|
||||
p, err := strconv.ParseInt(patch, 16, 0)
|
||||
gpuInfo.Patch, err = strconv.Atoi(patch)
|
||||
if err != nil {
|
||||
slog.Info("failed to parse version", "version", gfx, "error", err)
|
||||
} else {
|
||||
gpuInfo.Patch = int(p)
|
||||
}
|
||||
}
|
||||
if gpuInfo.Major < RocmComputeMin {
|
||||
slog.Warn(fmt.Sprintf("amdgpu [%s] too old gfx%d%d%x", gpuInfo.ID, gpuInfo.Major, gpuInfo.Minor, gpuInfo.Patch))
|
||||
slog.Warn(fmt.Sprintf("amdgpu [%s] too old gfx%d%d%d", gpuInfo.ID, gpuInfo.Major, gpuInfo.Minor, gpuInfo.Patch))
|
||||
continue
|
||||
}
|
||||
|
||||
|
||||
@@ -32,25 +32,9 @@ func PayloadsDir() (string, error) {
|
||||
slog.Error("failed to lookup executable path", "error", err)
|
||||
return "", err
|
||||
}
|
||||
|
||||
cwd, err := os.Getwd()
|
||||
if err != nil {
|
||||
slog.Error("failed to lookup working directory", "error", err)
|
||||
return "", err
|
||||
}
|
||||
|
||||
var paths []string
|
||||
for _, root := range []string{filepath.Dir(appExe), cwd} {
|
||||
paths = append(paths,
|
||||
filepath.Join(root),
|
||||
filepath.Join(root, "windows-"+runtime.GOARCH),
|
||||
filepath.Join(root, "dist", "windows-"+runtime.GOARCH),
|
||||
)
|
||||
}
|
||||
|
||||
// Try a few variations to improve developer experience when building from source in the local tree
|
||||
for _, p := range paths {
|
||||
candidate := filepath.Join(p, "ollama_runners")
|
||||
for _, d := range []string{".", "windows-" + runtime.GOARCH, "dist\\windows-" + runtime.GOARCH} {
|
||||
candidate := filepath.Join(filepath.Dir(appExe), d, "ollama_runners")
|
||||
_, err := os.Stat(candidate)
|
||||
if err == nil {
|
||||
runnersDir = candidate
|
||||
|
||||
@@ -10,12 +10,6 @@ package gpu
|
||||
import "C"
|
||||
import (
|
||||
"runtime"
|
||||
|
||||
"github.com/ollama/ollama/format"
|
||||
)
|
||||
|
||||
const (
|
||||
metalMinimumMemory = 512 * format.MebiByte
|
||||
)
|
||||
|
||||
func GetGPUInfo() GpuInfoList {
|
||||
@@ -38,7 +32,7 @@ func GetGPUInfo() GpuInfoList {
|
||||
// TODO is there a way to gather actual allocated video memory? (currentAllocatedSize doesn't work)
|
||||
info.FreeMemory = info.TotalMemory
|
||||
|
||||
info.MinimumMemory = metalMinimumMemory
|
||||
info.MinimumMemory = 0
|
||||
return []GpuInfo{info}
|
||||
}
|
||||
|
||||
|
||||
15
llm/ext_server/server.cpp
vendored
15
llm/ext_server/server.cpp
vendored
@@ -1032,7 +1032,7 @@ struct llama_server_context
|
||||
slot.has_next_token = false;
|
||||
}
|
||||
|
||||
if (!slot.cache_tokens.empty() && llama_token_is_eog(model, result.tok))
|
||||
if (!slot.cache_tokens.empty() && result.tok == llama_token_eos(model))
|
||||
{
|
||||
slot.stopped_eos = true;
|
||||
slot.has_next_token = false;
|
||||
@@ -1144,15 +1144,12 @@ struct llama_server_context
|
||||
|
||||
res.result_json = json
|
||||
{
|
||||
{"content", tkn.text_to_send},
|
||||
{"stop", false},
|
||||
{"slot_id", slot.id},
|
||||
{"multimodal", multimodal}
|
||||
};
|
||||
|
||||
if (!llama_token_is_eog(model, tkn.tok)) {
|
||||
res.result_json["content"] = tkn.text_to_send;
|
||||
}
|
||||
|
||||
if (slot.sparams.n_probs > 0)
|
||||
{
|
||||
std::vector<completion_token_output> probs_output = {};
|
||||
@@ -2647,18 +2644,18 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
|
||||
if (strncmp(sep, "int:", 4) == 0) {
|
||||
sep += 4;
|
||||
kvo.tag = LLAMA_KV_OVERRIDE_TYPE_INT;
|
||||
kvo.val_i64 = std::atol(sep);
|
||||
kvo.int_value = std::atol(sep);
|
||||
} else if (strncmp(sep, "float:", 6) == 0) {
|
||||
sep += 6;
|
||||
kvo.tag = LLAMA_KV_OVERRIDE_TYPE_FLOAT;
|
||||
kvo.val_f64 = std::atof(sep);
|
||||
kvo.float_value = std::atof(sep);
|
||||
} else if (strncmp(sep, "bool:", 5) == 0) {
|
||||
sep += 5;
|
||||
kvo.tag = LLAMA_KV_OVERRIDE_TYPE_BOOL;
|
||||
if (std::strcmp(sep, "true") == 0) {
|
||||
kvo.val_bool = true;
|
||||
kvo.bool_value = true;
|
||||
} else if (std::strcmp(sep, "false") == 0) {
|
||||
kvo.val_bool = false;
|
||||
kvo.bool_value = false;
|
||||
} else {
|
||||
fprintf(stderr, "error: Invalid boolean value for KV override: %s\n", argv[i]);
|
||||
invalid_param = true;
|
||||
|
||||
@@ -21,7 +21,7 @@ init_vars() {
|
||||
# TODO - add additional optimization flags...
|
||||
CMAKE_DEFS="-DCMAKE_BUILD_TYPE=Release -DLLAMA_SERVER_VERBOSE=off ${CMAKE_DEFS}"
|
||||
fi
|
||||
case $(uname -s) in
|
||||
case $(uname -s) in
|
||||
"Darwin")
|
||||
LIB_EXT="dylib"
|
||||
WHOLE_ARCHIVE="-Wl,-force_load"
|
||||
|
||||
@@ -165,11 +165,11 @@ if [ -d "${CUDA_LIB_DIR}" ]; then
|
||||
fi
|
||||
if [ "${ARCH}" == "arm64" ]; then
|
||||
echo "ARM CPU detected - disabling unsupported AVX instructions"
|
||||
|
||||
|
||||
# ARM-based CPUs such as M1 and Tegra do not support AVX extensions.
|
||||
#
|
||||
# CUDA compute < 6.0 lacks proper FP16 support on ARM.
|
||||
# Disabling has minimal performance effect while maintaining compatibility.
|
||||
# CUDA compute < 6.0 lacks proper FP16 support on ARM.
|
||||
# Disabling has minimal performance effect while maintaining compatibility.
|
||||
ARM64_DEFS="-DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_CUDA_F16=off"
|
||||
fi
|
||||
# Users building from source can tune the exact flags we pass to cmake for configuring llama.cpp
|
||||
|
||||
@@ -26,25 +26,16 @@ function amdGPUs {
|
||||
$GPU_LIST -join ';'
|
||||
}
|
||||
|
||||
|
||||
function init_vars {
|
||||
if (!$script:SRC_DIR) {
|
||||
$script:SRC_DIR = $(resolve-path "..\..\")
|
||||
}
|
||||
if (!$script:llamacppDir) {
|
||||
$script:llamacppDir = "../llama.cpp"
|
||||
}
|
||||
if (!$script:cmakeTargets) {
|
||||
$script:cmakeTargets = @("ollama_llama_server")
|
||||
}
|
||||
$script:SRC_DIR = $(resolve-path "..\..\")
|
||||
$script:llamacppDir = "../llama.cpp"
|
||||
$script:cmakeDefs = @(
|
||||
"-DBUILD_SHARED_LIBS=on",
|
||||
"-DLLAMA_NATIVE=off"
|
||||
)
|
||||
$script:commonCpuDefs = @("-DCMAKE_POSITION_INDEPENDENT_CODE=on")
|
||||
$script:ARCH = $Env:PROCESSOR_ARCHITECTURE.ToLower()
|
||||
$script:cmakeTargets = @("ollama_llama_server")
|
||||
$script:ARCH = "amd64" # arm not yet supported.
|
||||
$script:DIST_BASE = "${script:SRC_DIR}\dist\windows-${script:ARCH}\ollama_runners"
|
||||
md "$script:DIST_BASE" -ea 0 > $null
|
||||
if ($env:CGO_CFLAGS -contains "-g") {
|
||||
$script:cmakeDefs += @("-DCMAKE_VERBOSE_MAKEFILE=on", "-DLLAMA_SERVER_VERBOSE=on", "-DCMAKE_BUILD_TYPE=RelWithDebInfo")
|
||||
$script:config = "RelWithDebInfo"
|
||||
@@ -175,195 +166,137 @@ function cleanup {
|
||||
}
|
||||
}
|
||||
|
||||
init_vars
|
||||
git_module_setup
|
||||
apply_patches
|
||||
|
||||
# -DLLAMA_AVX -- 2011 Intel Sandy Bridge & AMD Bulldozer
|
||||
# -DLLAMA_AVX2 -- 2013 Intel Haswell & 2015 AMD Excavator / 2017 AMD Zen
|
||||
# -DLLAMA_FMA (FMA3) -- 2013 Intel Haswell & 2012 AMD Piledriver
|
||||
|
||||
$script:commonCpuDefs = @("-DCMAKE_POSITION_INDEPENDENT_CODE=on")
|
||||
|
||||
function build_static() {
|
||||
if ((-not "${env:OLLAMA_SKIP_STATIC_GENERATE}") -and ((-not "${env:OLLAMA_CPU_TARGET}") -or ("${env:OLLAMA_CPU_TARGET}" -eq "static"))) {
|
||||
# GCC build for direct linking into the Go binary
|
||||
init_vars
|
||||
# cmake will silently fallback to msvc compilers if mingw isn't in the path, so detect and fail fast
|
||||
# as we need this to be compiled by gcc for golang to be able to link with itx
|
||||
write-host "Checking for MinGW..."
|
||||
# error action ensures we exit on failure
|
||||
get-command gcc
|
||||
get-command mingw32-make
|
||||
$oldTargets = $script:cmakeTargets
|
||||
$script:cmakeTargets = @("llama", "ggml")
|
||||
$script:cmakeDefs = @(
|
||||
"-G", "MinGW Makefiles"
|
||||
"-DCMAKE_C_COMPILER=gcc.exe",
|
||||
"-DCMAKE_CXX_COMPILER=g++.exe",
|
||||
"-DBUILD_SHARED_LIBS=off",
|
||||
"-DLLAMA_NATIVE=off",
|
||||
"-DLLAMA_AVX=off",
|
||||
"-DLLAMA_AVX2=off",
|
||||
"-DLLAMA_AVX512=off",
|
||||
"-DLLAMA_F16C=off",
|
||||
"-DLLAMA_FMA=off")
|
||||
$script:buildDir="../build/windows/${script:ARCH}_static"
|
||||
write-host "Building static library"
|
||||
build
|
||||
$script:cmakeTargets = $oldTargets
|
||||
} else {
|
||||
write-host "Skipping CPU generation step as requested"
|
||||
}
|
||||
}
|
||||
|
||||
function build_cpu($gen_arch) {
|
||||
if ((-not "${env:OLLAMA_SKIP_CPU_GENERATE}" ) -and ((-not "${env:OLLAMA_CPU_TARGET}") -or ("${env:OLLAMA_CPU_TARGET}" -eq "cpu"))) {
|
||||
# remaining llama.cpp builds use MSVC
|
||||
init_vars
|
||||
$script:cmakeDefs = $script:commonCpuDefs + @("-A", $gen_arch, "-DLLAMA_AVX=off", "-DLLAMA_AVX2=off", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=off", "-DLLAMA_F16C=off") + $script:cmakeDefs
|
||||
$script:buildDir="../build/windows/${script:ARCH}/cpu"
|
||||
$script:distDir="$script:DIST_BASE\cpu"
|
||||
write-host "Building LCD CPU"
|
||||
build
|
||||
sign
|
||||
install
|
||||
} else {
|
||||
write-host "Skipping CPU generation step as requested"
|
||||
}
|
||||
}
|
||||
|
||||
function build_cpu_avx() {
|
||||
if ((-not "${env:OLLAMA_SKIP_CPU_GENERATE}" ) -and ((-not "${env:OLLAMA_CPU_TARGET}") -or ("${env:OLLAMA_CPU_TARGET}" -eq "cpu_avx"))) {
|
||||
init_vars
|
||||
$script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=off", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=off", "-DLLAMA_F16C=off") + $script:cmakeDefs
|
||||
$script:buildDir="../build/windows/${script:ARCH}/cpu_avx"
|
||||
$script:distDir="$script:DIST_BASE\cpu_avx"
|
||||
write-host "Building AVX CPU"
|
||||
build
|
||||
sign
|
||||
install
|
||||
} else {
|
||||
write-host "Skipping CPU AVX generation step as requested"
|
||||
}
|
||||
}
|
||||
|
||||
function build_cpu_avx2() {
|
||||
if ((-not "${env:OLLAMA_SKIP_CPU_GENERATE}" ) -and ((-not "${env:OLLAMA_CPU_TARGET}") -or ("${env:OLLAMA_CPU_TARGET}" -eq "cpu_avx2"))) {
|
||||
init_vars
|
||||
$script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=on", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=on", "-DLLAMA_F16C=on") + $script:cmakeDefs
|
||||
$script:buildDir="../build/windows/${script:ARCH}/cpu_avx2"
|
||||
$script:distDir="$script:DIST_BASE\cpu_avx2"
|
||||
write-host "Building AVX2 CPU"
|
||||
build
|
||||
sign
|
||||
install
|
||||
} else {
|
||||
write-host "Skipping CPU AVX2 generation step as requested"
|
||||
}
|
||||
}
|
||||
|
||||
function build_cuda() {
|
||||
if ((-not "${env:OLLAMA_SKIP_CUDA_GENERATE}") -and ("${script:CUDA_LIB_DIR}")) {
|
||||
# Then build cuda as a dynamically loaded library
|
||||
$nvcc = "$script:CUDA_LIB_DIR\nvcc.exe"
|
||||
$script:CUDA_VERSION=(get-item ($nvcc | split-path | split-path)).Basename
|
||||
if ($null -ne $script:CUDA_VERSION) {
|
||||
$script:CUDA_VARIANT="_"+$script:CUDA_VERSION
|
||||
}
|
||||
init_vars
|
||||
$script:buildDir="../build/windows/${script:ARCH}/cuda$script:CUDA_VARIANT"
|
||||
$script:distDir="$script:DIST_BASE\cuda$script:CUDA_VARIANT"
|
||||
$script:cmakeDefs += @("-A", "x64", "-DLLAMA_CUDA=ON", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=off", "-DCUDAToolkit_INCLUDE_DIR=$script:CUDA_INCLUDE_DIR", "-DCMAKE_CUDA_ARCHITECTURES=${script:CMAKE_CUDA_ARCHITECTURES}")
|
||||
if ($null -ne $env:OLLAMA_CUSTOM_CUDA_DEFS) {
|
||||
write-host "OLLAMA_CUSTOM_CUDA_DEFS=`"${env:OLLAMA_CUSTOM_CUDA_DEFS}`""
|
||||
$script:cmakeDefs +=@("${env:OLLAMA_CUSTOM_CUDA_DEFS}")
|
||||
write-host "building custom CUDA GPU"
|
||||
}
|
||||
build
|
||||
sign
|
||||
install
|
||||
|
||||
write-host "copying CUDA dependencies to ${script:SRC_DIR}\dist\windows-${script:ARCH}\"
|
||||
cp "${script:CUDA_LIB_DIR}\cudart64_*.dll" "${script:SRC_DIR}\dist\windows-${script:ARCH}\"
|
||||
cp "${script:CUDA_LIB_DIR}\cublas64_*.dll" "${script:SRC_DIR}\dist\windows-${script:ARCH}\"
|
||||
cp "${script:CUDA_LIB_DIR}\cublasLt64_*.dll" "${script:SRC_DIR}\dist\windows-${script:ARCH}\"
|
||||
} else {
|
||||
write-host "Skipping CUDA generation step"
|
||||
}
|
||||
}
|
||||
|
||||
function build_rocm() {
|
||||
if ((-not "${env:OLLAMA_SKIP_ROCM_GENERATE}") -and ("${env:HIP_PATH}")) {
|
||||
$script:ROCM_VERSION=(get-item $env:HIP_PATH).Basename
|
||||
if ($null -ne $script:ROCM_VERSION) {
|
||||
$script:ROCM_VARIANT="_v"+$script:ROCM_VERSION
|
||||
}
|
||||
|
||||
init_vars
|
||||
$script:buildDir="../build/windows/${script:ARCH}/rocm$script:ROCM_VARIANT"
|
||||
$script:distDir="$script:DIST_BASE\rocm$script:ROCM_VARIANT"
|
||||
$script:cmakeDefs += @(
|
||||
"-G", "Ninja",
|
||||
"-DCMAKE_C_COMPILER=clang.exe",
|
||||
"-DCMAKE_CXX_COMPILER=clang++.exe",
|
||||
"-DLLAMA_HIPBLAS=on",
|
||||
"-DHIP_PLATFORM=amd",
|
||||
"-DLLAMA_AVX=on",
|
||||
"-DLLAMA_AVX2=off",
|
||||
"-DCMAKE_POSITION_INDEPENDENT_CODE=on",
|
||||
"-DAMDGPU_TARGETS=$(amdGPUs)",
|
||||
"-DGPU_TARGETS=$(amdGPUs)"
|
||||
)
|
||||
|
||||
# Make sure the ROCm binary dir is first in the path
|
||||
$env:PATH="$env:HIP_PATH\bin;$env:PATH"
|
||||
|
||||
# We have to clobber the LIB var from the developer shell for clang to work properly
|
||||
$env:LIB=""
|
||||
if ($null -ne $env:OLLAMA_CUSTOM_ROCM_DEFS) {
|
||||
write-host "OLLAMA_CUSTOM_ROCM_DEFS=`"${env:OLLAMA_CUSTOM_ROCM_DEFS}`""
|
||||
$script:cmakeDefs += @("${env:OLLAMA_CUSTOM_ROCM_DEFS}")
|
||||
write-host "building custom ROCM GPU"
|
||||
}
|
||||
write-host "Building ROCm"
|
||||
build
|
||||
# Ninja doesn't prefix with config name
|
||||
${script:config}=""
|
||||
if ($null -ne $script:DUMPBIN) {
|
||||
& "$script:DUMPBIN" /dependents "${script:buildDir}/bin/ollama_llama_server.exe" | select-string ".dll"
|
||||
}
|
||||
sign
|
||||
install
|
||||
|
||||
# Assumes v5.7, may need adjustments for v6
|
||||
rm -ea 0 -recurse -force -path "${script:SRC_DIR}\dist\windows-${script:ARCH}\rocm\"
|
||||
md "${script:SRC_DIR}\dist\windows-${script:ARCH}\rocm\rocblas\library\" -ea 0 > $null
|
||||
cp "${env:HIP_PATH}\bin\hipblas.dll" "${script:SRC_DIR}\dist\windows-${script:ARCH}\rocm\"
|
||||
cp "${env:HIP_PATH}\bin\rocblas.dll" "${script:SRC_DIR}\dist\windows-${script:ARCH}\rocm\"
|
||||
# amdhip64.dll dependency comes from the driver and must be installed on the host to use AMD GPUs
|
||||
cp "${env:HIP_PATH}\bin\rocblas\library\*" "${script:SRC_DIR}\dist\windows-${script:ARCH}\rocm\rocblas\library\"
|
||||
} else {
|
||||
write-host "Skipping ROCm generation step"
|
||||
}
|
||||
}
|
||||
if ($null -eq ${env:OLLAMA_SKIP_CPU_GENERATE}) {
|
||||
|
||||
# GCC build for direct linking into the Go binary
|
||||
init_vars
|
||||
if ($($args.count) -eq 0) {
|
||||
git_module_setup
|
||||
apply_patches
|
||||
build_static
|
||||
if ($script:ARCH -eq "arm64") {
|
||||
build_cpu("ARM64")
|
||||
} else { # amd64
|
||||
build_cpu("x64")
|
||||
build_cpu_avx
|
||||
build_cpu_avx2
|
||||
build_cuda
|
||||
build_rocm
|
||||
# cmake will silently fallback to msvc compilers if mingw isn't in the path, so detect and fail fast
|
||||
# as we need this to be compiled by gcc for golang to be able to link with itx
|
||||
write-host "Checking for MinGW..."
|
||||
# error action ensures we exit on failure
|
||||
get-command gcc
|
||||
get-command mingw32-make
|
||||
$script:cmakeTargets = @("llama", "ggml")
|
||||
$script:cmakeDefs = @(
|
||||
"-G", "MinGW Makefiles"
|
||||
"-DCMAKE_C_COMPILER=gcc.exe",
|
||||
"-DCMAKE_CXX_COMPILER=g++.exe",
|
||||
"-DBUILD_SHARED_LIBS=off",
|
||||
"-DLLAMA_NATIVE=off",
|
||||
"-DLLAMA_AVX=off",
|
||||
"-DLLAMA_AVX2=off",
|
||||
"-DLLAMA_AVX512=off",
|
||||
"-DLLAMA_F16C=off",
|
||||
"-DLLAMA_FMA=off")
|
||||
$script:buildDir="../build/windows/${script:ARCH}_static"
|
||||
write-host "Building static library"
|
||||
build
|
||||
|
||||
# remaining llama.cpp builds use MSVC
|
||||
init_vars
|
||||
$script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DLLAMA_AVX=off", "-DLLAMA_AVX2=off", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=off", "-DLLAMA_F16C=off") + $script:cmakeDefs
|
||||
$script:buildDir="../build/windows/${script:ARCH}/cpu"
|
||||
$script:distDir="$script:DIST_BASE\cpu"
|
||||
write-host "Building LCD CPU"
|
||||
build
|
||||
sign
|
||||
install
|
||||
|
||||
init_vars
|
||||
$script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=off", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=off", "-DLLAMA_F16C=off") + $script:cmakeDefs
|
||||
$script:buildDir="../build/windows/${script:ARCH}/cpu_avx"
|
||||
$script:distDir="$script:DIST_BASE\cpu_avx"
|
||||
write-host "Building AVX CPU"
|
||||
build
|
||||
sign
|
||||
install
|
||||
|
||||
init_vars
|
||||
$script:cmakeDefs = $script:commonCpuDefs + @("-A", "x64", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=on", "-DLLAMA_AVX512=off", "-DLLAMA_FMA=on", "-DLLAMA_F16C=on") + $script:cmakeDefs
|
||||
$script:buildDir="../build/windows/${script:ARCH}/cpu_avx2"
|
||||
$script:distDir="$script:DIST_BASE\cpu_avx2"
|
||||
write-host "Building AVX2 CPU"
|
||||
build
|
||||
sign
|
||||
install
|
||||
} else {
|
||||
write-host "Skipping CPU generation step as requested"
|
||||
}
|
||||
|
||||
if ($null -ne $script:CUDA_LIB_DIR) {
|
||||
# Then build cuda as a dynamically loaded library
|
||||
$nvcc = "$script:CUDA_LIB_DIR\nvcc.exe"
|
||||
$script:CUDA_VERSION=(get-item ($nvcc | split-path | split-path)).Basename
|
||||
if ($null -ne $script:CUDA_VERSION) {
|
||||
$script:CUDA_VARIANT="_"+$script:CUDA_VERSION
|
||||
}
|
||||
init_vars
|
||||
$script:buildDir="../build/windows/${script:ARCH}/cuda$script:CUDA_VARIANT"
|
||||
$script:distDir="$script:DIST_BASE\cuda$script:CUDA_VARIANT"
|
||||
$script:cmakeDefs += @("-A", "x64", "-DLLAMA_CUDA=ON", "-DLLAMA_AVX=on", "-DLLAMA_AVX2=off", "-DCUDAToolkit_INCLUDE_DIR=$script:CUDA_INCLUDE_DIR", "-DCMAKE_CUDA_ARCHITECTURES=${script:CMAKE_CUDA_ARCHITECTURES}")
|
||||
if ($null -ne $env:OLLAMA_CUSTOM_CUDA_DEFS) {
|
||||
write-host "OLLAMA_CUSTOM_CUDA_DEFS=`"${env:OLLAMA_CUSTOM_CUDA_DEFS}`""
|
||||
$script:cmakeDefs +=@("${env:OLLAMA_CUSTOM_CUDA_DEFS}")
|
||||
write-host "building custom CUDA GPU"
|
||||
}
|
||||
build
|
||||
sign
|
||||
install
|
||||
}
|
||||
|
||||
if ($null -ne $env:HIP_PATH) {
|
||||
$script:ROCM_VERSION=(get-item $env:HIP_PATH).Basename
|
||||
if ($null -ne $script:ROCM_VERSION) {
|
||||
$script:ROCM_VARIANT="_v"+$script:ROCM_VERSION
|
||||
}
|
||||
|
||||
cleanup
|
||||
write-host "`ngo generate completed. LLM runners: $(get-childitem -path $script:DIST_BASE)"
|
||||
} else {
|
||||
for ( $i = 0; $i -lt $args.count; $i++ ) {
|
||||
write-host "performing $($args[$i])"
|
||||
& $($args[$i])
|
||||
}
|
||||
}
|
||||
init_vars
|
||||
$script:buildDir="../build/windows/${script:ARCH}/rocm$script:ROCM_VARIANT"
|
||||
$script:distDir="$script:DIST_BASE\rocm$script:ROCM_VARIANT"
|
||||
$script:cmakeDefs += @(
|
||||
"-G", "Ninja",
|
||||
"-DCMAKE_C_COMPILER=clang.exe",
|
||||
"-DCMAKE_CXX_COMPILER=clang++.exe",
|
||||
"-DLLAMA_HIPBLAS=on",
|
||||
"-DHIP_PLATFORM=amd",
|
||||
"-DLLAMA_AVX=on",
|
||||
"-DLLAMA_AVX2=off",
|
||||
"-DCMAKE_POSITION_INDEPENDENT_CODE=on",
|
||||
"-DAMDGPU_TARGETS=$(amdGPUs)",
|
||||
"-DGPU_TARGETS=$(amdGPUs)"
|
||||
)
|
||||
|
||||
# Make sure the ROCm binary dir is first in the path
|
||||
$env:PATH="$env:HIP_PATH\bin;$env:PATH"
|
||||
|
||||
# We have to clobber the LIB var from the developer shell for clang to work properly
|
||||
$env:LIB=""
|
||||
if ($null -ne $env:OLLAMA_CUSTOM_ROCM_DEFS) {
|
||||
write-host "OLLAMA_CUSTOM_ROCM_DEFS=`"${env:OLLAMA_CUSTOM_ROCM_DEFS}`""
|
||||
$script:cmakeDefs += @("${env:OLLAMA_CUSTOM_ROCM_DEFS}")
|
||||
write-host "building custom ROCM GPU"
|
||||
}
|
||||
write-host "Building ROCm"
|
||||
build
|
||||
# Ninja doesn't prefix with config name
|
||||
${script:config}=""
|
||||
if ($null -ne $script:DUMPBIN) {
|
||||
& "$script:DUMPBIN" /dependents "${script:buildDir}/bin/ollama_llama_server.exe" | select-string ".dll"
|
||||
}
|
||||
sign
|
||||
install
|
||||
}
|
||||
|
||||
|
||||
cleanup
|
||||
write-host "`ngo generate completed. LLM runners: $(get-childitem -path $script:DIST_BASE)"
|
||||
|
||||
@@ -191,7 +191,7 @@ func (l Layer) size() (size uint64) {
|
||||
type Tensor struct {
|
||||
Name string `json:"name"`
|
||||
Kind uint32 `json:"kind"`
|
||||
Offset uint64 `json:"-"`
|
||||
Offset uint64 `json:"offset"`
|
||||
|
||||
// Shape is the number of elements in each dimension
|
||||
Shape []uint64 `json:"shape"`
|
||||
|
||||
Submodule llm/llama.cpp updated: 952d03dbea...7593639ce3
@@ -4,7 +4,6 @@ package llm
|
||||
// #cgo darwin,arm64 LDFLAGS: ${SRCDIR}/build/darwin/arm64_static/libllama.a -lstdc++
|
||||
// #cgo darwin,amd64 LDFLAGS: ${SRCDIR}/build/darwin/x86_64_static/libllama.a -lstdc++
|
||||
// #cgo windows,amd64 LDFLAGS: ${SRCDIR}/build/windows/amd64_static/libllama.a -static -lstdc++
|
||||
// #cgo windows,arm64 LDFLAGS: ${SRCDIR}/build/windows/arm64_static/libllama.a -static -lstdc++
|
||||
// #cgo linux,amd64 LDFLAGS: ${SRCDIR}/build/linux/x86_64_static/libllama.a -lstdc++
|
||||
// #cgo linux,arm64 LDFLAGS: ${SRCDIR}/build/linux/arm64_static/libllama.a -lstdc++
|
||||
// #include <stdlib.h>
|
||||
|
||||
@@ -5,6 +5,7 @@ import (
|
||||
"log/slog"
|
||||
"os"
|
||||
"strconv"
|
||||
"strings"
|
||||
|
||||
"github.com/ollama/ollama/api"
|
||||
"github.com/ollama/ollama/format"
|
||||
@@ -88,11 +89,6 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
|
||||
graphFullOffload *= uint64(len(gpus))
|
||||
graphPartialOffload *= uint64(len(gpus))
|
||||
|
||||
// on metal there's no partial offload overhead
|
||||
if gpus[0].Library == "metal" {
|
||||
graphPartialOffload = graphFullOffload
|
||||
}
|
||||
|
||||
// memoryRequiredTotal represents the memory required for full GPU offloading (all layers)
|
||||
memoryRequiredTotal := memoryMinimum + graphFullOffload
|
||||
|
||||
@@ -104,26 +100,8 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
|
||||
return 0, 0
|
||||
}
|
||||
|
||||
layers := ggml.Tensors().Layers()
|
||||
|
||||
var memoryLayerOutput uint64
|
||||
if layer, ok := layers["output_norm"]; ok {
|
||||
memoryLayerOutput += layer.size()
|
||||
}
|
||||
|
||||
if layer, ok := layers["output"]; ok {
|
||||
memoryLayerOutput += layer.size()
|
||||
} else if layer, ok := layers["token_embd"]; ok {
|
||||
memoryLayerOutput += layer.size()
|
||||
}
|
||||
|
||||
if gpus[0].Library == "metal" && opts.UseMMap {
|
||||
// memory is preallocated for output tensors
|
||||
memoryRequiredTotal += memoryLayerOutput
|
||||
memoryRequiredPartial += memoryLayerOutput
|
||||
}
|
||||
|
||||
var layerCount int
|
||||
layers := ggml.Tensors().Layers()
|
||||
for i := 0; i < int(ggml.KV().BlockCount()); i++ {
|
||||
memoryLayer := layers[fmt.Sprintf("blk.%d", i)].size()
|
||||
|
||||
@@ -137,11 +115,15 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
|
||||
}
|
||||
}
|
||||
|
||||
if gpus[0].Library != "metal" || !opts.UseMMap {
|
||||
// memory was not preallocated for output tensors
|
||||
memoryRequiredTotal += memoryLayerOutput
|
||||
var memoryLayerOutput uint64
|
||||
for k, v := range layers {
|
||||
if !strings.HasPrefix(k, "blk.") {
|
||||
memoryLayerOutput += v.size()
|
||||
}
|
||||
}
|
||||
|
||||
memoryRequiredTotal += memoryLayerOutput
|
||||
|
||||
if memoryAvailable > memoryRequiredTotal {
|
||||
layerCount = int(ggml.KV().BlockCount()) + 1
|
||||
memoryRequiredPartial = memoryRequiredTotal
|
||||
|
||||
@@ -1,12 +0,0 @@
|
||||
diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp
|
||||
index e431c7f7..f077e688 100644
|
||||
--- a/examples/llava/clip.cpp
|
||||
+++ b/examples/llava/clip.cpp
|
||||
@@ -3,6 +3,7 @@
|
||||
// I'll gradually clean and extend it
|
||||
// Note: Even when using identical normalized image inputs (see normalize_image_u8_to_f32()) we have a significant difference in resulting embeddings compared to pytorch
|
||||
#include "clip.h"
|
||||
+#include "common.h"
|
||||
#include "log.h"
|
||||
#include "ggml.h"
|
||||
#include "ggml-alloc.h"
|
||||
@@ -1,45 +0,0 @@
|
||||
diff --git a/ggml-metal.m b/ggml-metal.m
|
||||
index 0207b787..b5e9884b 100644
|
||||
--- a/ggml-metal.m
|
||||
+++ b/ggml-metal.m
|
||||
@@ -1396,27 +1396,23 @@ static enum ggml_status ggml_metal_graph_compute(
|
||||
// to the matrix-vector kernel
|
||||
int ne11_mm_min = 1;
|
||||
|
||||
-#if 0
|
||||
// the numbers below are measured on M2 Ultra for 7B and 13B models
|
||||
// these numbers do not translate to other devices or model sizes
|
||||
// TODO: need to find a better approach
|
||||
- if ([ctx->device.name isEqualToString:@"Apple M2 Ultra"]) {
|
||||
- switch (src0t) {
|
||||
- case GGML_TYPE_F16: ne11_mm_min = 2; break;
|
||||
- case GGML_TYPE_Q8_0: ne11_mm_min = 7; break;
|
||||
- case GGML_TYPE_Q2_K: ne11_mm_min = 15; break;
|
||||
- case GGML_TYPE_Q3_K: ne11_mm_min = 7; break;
|
||||
- case GGML_TYPE_Q4_0:
|
||||
- case GGML_TYPE_Q4_1: ne11_mm_min = 15; break;
|
||||
- case GGML_TYPE_Q4_K: ne11_mm_min = 11; break;
|
||||
- case GGML_TYPE_Q5_0: // not tested yet
|
||||
- case GGML_TYPE_Q5_1: ne11_mm_min = 13; break; // not tested yet
|
||||
- case GGML_TYPE_Q5_K: ne11_mm_min = 7; break;
|
||||
- case GGML_TYPE_Q6_K: ne11_mm_min = 7; break;
|
||||
- default: ne11_mm_min = 1; break;
|
||||
- }
|
||||
+ switch (src0t) {
|
||||
+ case GGML_TYPE_F16: ne11_mm_min = 2; break;
|
||||
+ case GGML_TYPE_Q8_0: ne11_mm_min = 7; break;
|
||||
+ case GGML_TYPE_Q2_K: ne11_mm_min = 15; break;
|
||||
+ case GGML_TYPE_Q3_K: ne11_mm_min = 7; break;
|
||||
+ case GGML_TYPE_Q4_0:
|
||||
+ case GGML_TYPE_Q4_1: ne11_mm_min = 15; break;
|
||||
+ case GGML_TYPE_Q4_K: ne11_mm_min = 11; break;
|
||||
+ case GGML_TYPE_Q5_0: // not tested yet
|
||||
+ case GGML_TYPE_Q5_1: ne11_mm_min = 13; break; // not tested yet
|
||||
+ case GGML_TYPE_Q5_K: ne11_mm_min = 7; break;
|
||||
+ case GGML_TYPE_Q6_K: ne11_mm_min = 7; break;
|
||||
+ default: ne11_mm_min = 1; break;
|
||||
}
|
||||
-#endif
|
||||
|
||||
// for now the matrix-matrix multiplication kernel only works on A14+/M1+ SoCs
|
||||
// AMD GPU and older A-chips will reuse matrix-vector multiplication kernel
|
||||
@@ -73,7 +73,8 @@ func LoadModel(model string) (*GGML, error) {
|
||||
func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, projectors []string, opts api.Options) (LlamaServer, error) {
|
||||
var err error
|
||||
if opts.NumCtx > int(ggml.KV().ContextLength()) {
|
||||
slog.Warn("requested context length is greater than the model's training context window size", "requested", opts.NumCtx, "training size", ggml.KV().ContextLength())
|
||||
slog.Warn("requested context length is greater than model max context length", "requested", opts.NumCtx, "model", ggml.KV().ContextLength())
|
||||
opts.NumCtx = int(ggml.KV().ContextLength())
|
||||
}
|
||||
|
||||
if opts.NumCtx < 4 {
|
||||
@@ -300,6 +301,12 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
|
||||
continue
|
||||
}
|
||||
|
||||
// reap subprocess when it exits
|
||||
go func() {
|
||||
// Exit status managed via getServerStatus
|
||||
_ = s.cmd.Wait()
|
||||
}()
|
||||
|
||||
// TODO - make sure this is all wired up correctly
|
||||
// if err = s.WaitUntilRunning(); err != nil {
|
||||
// slog.Error("error starting llama server", "server", servers[i], "error", err)
|
||||
@@ -435,7 +442,7 @@ func (s *llmServer) WaitUntilRunning(ctx context.Context) error {
|
||||
select {
|
||||
case <-ctx.Done():
|
||||
slog.Info("context expired before server started")
|
||||
return fmt.Errorf("timed out waiting for llama runner to start: %w", ctx.Err())
|
||||
return fmt.Errorf("timed out waiting for llama runner to start")
|
||||
case err := <-s.done:
|
||||
msg := ""
|
||||
if s.status != nil && s.status.LastErrMsg != "" {
|
||||
@@ -553,13 +560,6 @@ func (s *llmServer) Completion(ctx context.Context, req CompletionRequest, fn fu
|
||||
return err
|
||||
}
|
||||
defer s.sem.Release(1)
|
||||
|
||||
// only allow maximum 10 "context shifts" to avoid infinite generation
|
||||
if req.Options.NumPredict < 0 || req.Options.NumPredict > 10*s.options.NumCtx {
|
||||
req.Options.NumPredict = 10 * s.options.NumCtx
|
||||
slog.Debug("setting token limit to 10x num_ctx", "num_ctx", s.options.NumCtx, "num_predict", req.Options.NumPredict)
|
||||
}
|
||||
|
||||
request := map[string]any{
|
||||
"prompt": req.Prompt,
|
||||
"stream": true,
|
||||
@@ -893,13 +893,7 @@ func (s *llmServer) Detokenize(ctx context.Context, tokens []int) (string, error
|
||||
func (s *llmServer) Close() error {
|
||||
if s.cmd != nil {
|
||||
slog.Debug("stopping llama server")
|
||||
if err := s.cmd.Process.Kill(); err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
_ = s.cmd.Wait()
|
||||
|
||||
slog.Debug("llama server stopped")
|
||||
return s.cmd.Process.Kill()
|
||||
}
|
||||
|
||||
return nil
|
||||
|
||||
@@ -19,7 +19,7 @@ export default function () {
|
||||
const [step, setStep] = useState<Step>(Step.WELCOME)
|
||||
const [commandCopied, setCommandCopied] = useState<boolean>(false)
|
||||
|
||||
const command = 'ollama run llama3'
|
||||
const command = 'ollama run llama2'
|
||||
|
||||
return (
|
||||
<div className='drag'>
|
||||
|
||||
@@ -7,8 +7,6 @@
|
||||
$ErrorActionPreference = "Stop"
|
||||
|
||||
function checkEnv() {
|
||||
$script:TARGET_ARCH=$Env:PROCESSOR_ARCHITECTURE.ToLower()
|
||||
Write-host "Building for ${script:TARGET_ARCH}"
|
||||
write-host "Locating required tools and paths"
|
||||
$script:SRC_DIR=$PWD
|
||||
if (!$env:VCToolsRedistDir) {
|
||||
@@ -32,7 +30,7 @@ function checkEnv() {
|
||||
|
||||
$script:INNO_SETUP_DIR=(get-item "C:\Program Files*\Inno Setup*\")[0]
|
||||
|
||||
$script:DEPS_DIR="${script:SRC_DIR}\dist\windows-${script:TARGET_ARCH}"
|
||||
$script:DEPS_DIR="${script:SRC_DIR}\dist\windows-amd64"
|
||||
$env:CGO_ENABLED="1"
|
||||
echo "Checking version"
|
||||
if (!$env:VERSION) {
|
||||
@@ -83,8 +81,8 @@ function buildOllama() {
|
||||
/csp "Google Cloud KMS Provider" /kc ${env:KEY_CONTAINER} ollama.exe
|
||||
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
|
||||
}
|
||||
New-Item -ItemType Directory -Path .\dist\windows-${script:TARGET_ARCH}\ -Force
|
||||
cp .\ollama.exe .\dist\windows-${script:TARGET_ARCH}\
|
||||
New-Item -ItemType Directory -Path .\dist\windows-amd64\ -Force
|
||||
cp .\ollama.exe .\dist\windows-amd64\ollama-windows-amd64.exe
|
||||
}
|
||||
|
||||
function buildApp() {
|
||||
@@ -111,6 +109,9 @@ function gatherDependencies() {
|
||||
cp "${env:VCToolsRedistDir}\x64\Microsoft.VC*.CRT\vcruntime140.dll" "${script:DEPS_DIR}\"
|
||||
cp "${env:VCToolsRedistDir}\x64\Microsoft.VC*.CRT\vcruntime140_1.dll" "${script:DEPS_DIR}\"
|
||||
|
||||
cp "${script:NVIDIA_DIR}\cudart64_*.dll" "${script:DEPS_DIR}\"
|
||||
cp "${script:NVIDIA_DIR}\cublas64_*.dll" "${script:DEPS_DIR}\"
|
||||
cp "${script:NVIDIA_DIR}\cublasLt64_*.dll" "${script:DEPS_DIR}\"
|
||||
|
||||
cp "${script:SRC_DIR}\app\ollama_welcome.ps1" "${script:SRC_DIR}\dist\"
|
||||
if ("${env:KEY_CONTAINER}") {
|
||||
@@ -122,6 +123,15 @@ function gatherDependencies() {
|
||||
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
|
||||
}
|
||||
}
|
||||
if ($null -ne $env:HIP_PATH) {
|
||||
# Assumes v5.7, may need adjustments for v6
|
||||
rm -ea 0 -recurse -force -path "${script:DEPS_DIR}\rocm\"
|
||||
md "${script:DEPS_DIR}\rocm\rocblas\library\" -ea 0 > $null
|
||||
cp "${env:HIP_PATH}\bin\hipblas.dll" "${script:DEPS_DIR}\rocm\"
|
||||
cp "${env:HIP_PATH}\bin\rocblas.dll" "${script:DEPS_DIR}\rocm\"
|
||||
# amdhip64.dll dependency comes from the driver and must be installed on the host to use AMD GPUs
|
||||
cp "${env:HIP_PATH}\bin\rocblas\library\*" "${script:DEPS_DIR}\rocm\rocblas\library\"
|
||||
}
|
||||
}
|
||||
|
||||
function buildInstaller() {
|
||||
@@ -129,16 +139,16 @@ function buildInstaller() {
|
||||
cd "${script:SRC_DIR}\app"
|
||||
$env:PKG_VERSION=$script:PKG_VERSION
|
||||
if ("${env:KEY_CONTAINER}") {
|
||||
& "${script:INNO_SETUP_DIR}\ISCC.exe" /DARCH=$script:TARGET_ARCH /SMySignTool="${script:SignTool} sign /fd sha256 /t http://timestamp.digicert.com /f ${script:OLLAMA_CERT} /csp `$qGoogle Cloud KMS Provider`$q /kc ${env:KEY_CONTAINER} `$f" .\ollama.iss
|
||||
& "${script:INNO_SETUP_DIR}\ISCC.exe" /SMySignTool="${script:SignTool} sign /fd sha256 /t http://timestamp.digicert.com /f ${script:OLLAMA_CERT} /csp `$qGoogle Cloud KMS Provider`$q /kc ${env:KEY_CONTAINER} `$f" .\ollama.iss
|
||||
} else {
|
||||
& "${script:INNO_SETUP_DIR}\ISCC.exe" /DARCH=$script:TARGET_ARCH .\ollama.iss
|
||||
& "${script:INNO_SETUP_DIR}\ISCC.exe" .\ollama.iss
|
||||
}
|
||||
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
|
||||
}
|
||||
|
||||
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
|
||||
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
|
||||
}
|
||||
|
||||
try {
|
||||
|
||||
@@ -5,7 +5,6 @@ import (
|
||||
"bytes"
|
||||
"context"
|
||||
"crypto/sha256"
|
||||
"encoding/base64"
|
||||
"encoding/hex"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
@@ -26,13 +25,10 @@ import (
|
||||
"golang.org/x/exp/slices"
|
||||
|
||||
"github.com/ollama/ollama/api"
|
||||
"github.com/ollama/ollama/auth"
|
||||
"github.com/ollama/ollama/convert"
|
||||
"github.com/ollama/ollama/format"
|
||||
"github.com/ollama/ollama/llm"
|
||||
"github.com/ollama/ollama/parser"
|
||||
"github.com/ollama/ollama/types/errtypes"
|
||||
"github.com/ollama/ollama/types/model"
|
||||
"github.com/ollama/ollama/version"
|
||||
)
|
||||
|
||||
@@ -705,43 +701,36 @@ func convertModel(name, path string, fn func(resp api.ProgressResponse)) (string
|
||||
return path, nil
|
||||
}
|
||||
|
||||
func CopyModel(src, dst model.Name) error {
|
||||
if !dst.IsFullyQualified() {
|
||||
return model.Unqualified(dst)
|
||||
}
|
||||
if !src.IsFullyQualified() {
|
||||
return model.Unqualified(src)
|
||||
}
|
||||
|
||||
if src.Filepath() == dst.Filepath() {
|
||||
return nil
|
||||
}
|
||||
|
||||
manifests, err := GetManifestPath()
|
||||
func CopyModel(src, dest string) error {
|
||||
srcModelPath := ParseModelPath(src)
|
||||
srcPath, err := srcModelPath.GetManifestPath()
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
dstpath := filepath.Join(manifests, dst.Filepath())
|
||||
if err := os.MkdirAll(filepath.Dir(dstpath), 0o755); err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
srcpath := filepath.Join(manifests, src.Filepath())
|
||||
srcfile, err := os.Open(srcpath)
|
||||
destModelPath := ParseModelPath(dest)
|
||||
destPath, err := destModelPath.GetManifestPath()
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
defer srcfile.Close()
|
||||
|
||||
dstfile, err := os.Create(dstpath)
|
||||
if err != nil {
|
||||
if err := os.MkdirAll(filepath.Dir(destPath), 0o755); err != nil {
|
||||
return err
|
||||
}
|
||||
defer dstfile.Close()
|
||||
|
||||
_, err = io.Copy(dstfile, srcfile)
|
||||
return err
|
||||
// copy the file
|
||||
input, err := os.ReadFile(srcPath)
|
||||
if err != nil {
|
||||
fmt.Println("Error reading file:", err)
|
||||
return err
|
||||
}
|
||||
|
||||
err = os.WriteFile(destPath, input, 0o644)
|
||||
if err != nil {
|
||||
fmt.Println("Error reading file:", err)
|
||||
return err
|
||||
}
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
func deleteUnusedLayers(skipModelPath *ModelPath, deleteMap map[string]struct{}, dryRun bool) error {
|
||||
@@ -983,6 +972,9 @@ func PushModel(ctx context.Context, name string, regOpts *registryOptions, fn fu
|
||||
for _, layer := range layers {
|
||||
if err := uploadBlob(ctx, mp, layer, regOpts, fn); err != nil {
|
||||
slog.Info(fmt.Sprintf("error uploading blob: %v", err))
|
||||
if errors.Is(err, errUnauthorized) {
|
||||
return fmt.Errorf("unable to push %s, make sure this namespace exists and you are authorized to push to it", ParseModelPath(name).GetNamespaceRepository())
|
||||
}
|
||||
return err
|
||||
}
|
||||
}
|
||||
@@ -1145,40 +1137,9 @@ func GetSHA256Digest(r io.Reader) (string, int64) {
|
||||
return fmt.Sprintf("sha256:%x", h.Sum(nil)), n
|
||||
}
|
||||
|
||||
var errUnauthorized = fmt.Errorf("unauthorized: access denied")
|
||||
|
||||
// getTokenSubject returns the subject of a JWT token, it does not validate the token
|
||||
func getTokenSubject(token string) string {
|
||||
parts := strings.Split(token, ".")
|
||||
if len(parts) != 3 {
|
||||
slog.Error("jwt token does not contain 3 parts")
|
||||
return ""
|
||||
}
|
||||
|
||||
payload := parts[1]
|
||||
payloadBytes, err := base64.RawURLEncoding.DecodeString(payload)
|
||||
if err != nil {
|
||||
slog.Error(fmt.Sprintf("failed to decode jwt payload: %v", err))
|
||||
return ""
|
||||
}
|
||||
|
||||
var payloadMap map[string]interface{}
|
||||
if err := json.Unmarshal(payloadBytes, &payloadMap); err != nil {
|
||||
slog.Error(fmt.Sprintf("failed to unmarshal payload JSON: %v", err))
|
||||
return ""
|
||||
}
|
||||
|
||||
sub, ok := payloadMap["sub"]
|
||||
if !ok {
|
||||
slog.Error("jwt does not contain 'sub' field")
|
||||
return ""
|
||||
}
|
||||
|
||||
return fmt.Sprintf("%s", sub)
|
||||
}
|
||||
var errUnauthorized = errors.New("unauthorized")
|
||||
|
||||
func makeRequestWithRetry(ctx context.Context, method string, requestURL *url.URL, headers http.Header, body io.ReadSeeker, regOpts *registryOptions) (*http.Response, error) {
|
||||
anonymous := true // access will default to anonymous if no user is found associated with the public key
|
||||
for i := 0; i < 2; i++ {
|
||||
resp, err := makeRequest(ctx, method, requestURL, headers, body, regOpts)
|
||||
if err != nil {
|
||||
@@ -1197,7 +1158,6 @@ func makeRequestWithRetry(ctx context.Context, method string, requestURL *url.UR
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
anonymous = getTokenSubject(token) == "anonymous"
|
||||
regOpts.Token = token
|
||||
if body != nil {
|
||||
_, err = body.Seek(0, io.SeekStart)
|
||||
@@ -1218,16 +1178,6 @@ func makeRequestWithRetry(ctx context.Context, method string, requestURL *url.UR
|
||||
}
|
||||
}
|
||||
|
||||
if anonymous {
|
||||
// no user is associated with the public key, and the request requires non-anonymous access
|
||||
pubKey, nestedErr := auth.GetPublicKey()
|
||||
if nestedErr != nil {
|
||||
slog.Error(fmt.Sprintf("couldn't get public key: %v", nestedErr))
|
||||
return nil, errUnauthorized
|
||||
}
|
||||
return nil, &errtypes.UnknownOllamaKey{Key: pubKey}
|
||||
}
|
||||
// user is associated with the public key, but is not authorized to make the request
|
||||
return nil, errUnauthorized
|
||||
}
|
||||
|
||||
|
||||
@@ -29,7 +29,6 @@ import (
|
||||
"github.com/ollama/ollama/llm"
|
||||
"github.com/ollama/ollama/openai"
|
||||
"github.com/ollama/ollama/parser"
|
||||
"github.com/ollama/ollama/types/model"
|
||||
"github.com/ollama/ollama/version"
|
||||
)
|
||||
|
||||
@@ -146,11 +145,6 @@ func (s *Server) GenerateHandler(c *gin.Context) {
|
||||
select {
|
||||
case runner = <-rCh:
|
||||
case err = <-eCh:
|
||||
if errors.Is(err, context.Canceled) {
|
||||
c.JSON(499, gin.H{"error": "request canceled"})
|
||||
return
|
||||
}
|
||||
|
||||
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
|
||||
return
|
||||
}
|
||||
@@ -394,11 +388,6 @@ func (s *Server) EmbeddingsHandler(c *gin.Context) {
|
||||
select {
|
||||
case runner = <-rCh:
|
||||
case err = <-eCh:
|
||||
if errors.Is(err, context.Canceled) {
|
||||
c.JSON(499, gin.H{"error": "request canceled"})
|
||||
return
|
||||
}
|
||||
|
||||
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
|
||||
return
|
||||
}
|
||||
@@ -732,12 +721,61 @@ func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
resp.Modelfile = mf
|
||||
|
||||
ggmlData, err := getGGMLData(model)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
resp.ModelInfo = string(ggmlData)
|
||||
|
||||
return resp, nil
|
||||
}
|
||||
|
||||
func getGGMLData(model *Model) ([]byte, error) {
|
||||
f, err := os.Open(model.ModelPath)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
ggml, _, err := llm.DecodeGGML(f)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
kv := ggml.KV()
|
||||
var keys []string
|
||||
for k := range kv {
|
||||
keys = append(keys, k)
|
||||
}
|
||||
|
||||
kvMap := make(map[string]any)
|
||||
|
||||
for _, k := range keys {
|
||||
val := kv[k]
|
||||
|
||||
switch v := val.(type) {
|
||||
case []interface{}:
|
||||
if len(v) > 5 {
|
||||
kvMap[k] = []string{}
|
||||
continue
|
||||
}
|
||||
}
|
||||
kvMap[k] = val
|
||||
}
|
||||
|
||||
ggmlMap := make(map[string]any)
|
||||
ggmlMap["kv"] = kvMap
|
||||
ggmlMap["tensors"] = ggml.Tensors()
|
||||
|
||||
ggmlJson, err := json.Marshal(ggmlMap)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
return ggmlJson, nil
|
||||
}
|
||||
|
||||
func (s *Server) ListModelsHandler(c *gin.Context) {
|
||||
models := make([]api.ModelResponse, 0)
|
||||
manifestsPath, err := GetManifestPath()
|
||||
@@ -799,31 +837,34 @@ func (s *Server) ListModelsHandler(c *gin.Context) {
|
||||
}
|
||||
|
||||
func (s *Server) CopyModelHandler(c *gin.Context) {
|
||||
var r api.CopyRequest
|
||||
if err := c.ShouldBindJSON(&r); errors.Is(err, io.EOF) {
|
||||
var req api.CopyRequest
|
||||
err := c.ShouldBindJSON(&req)
|
||||
switch {
|
||||
case errors.Is(err, io.EOF):
|
||||
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
|
||||
return
|
||||
} else if err != nil {
|
||||
case err != nil:
|
||||
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
|
||||
return
|
||||
}
|
||||
|
||||
src := model.ParseName(r.Source)
|
||||
if !src.IsValid() {
|
||||
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("source %q is invalid", r.Source)})
|
||||
if req.Source == "" || req.Destination == "" {
|
||||
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "source add destination are required"})
|
||||
return
|
||||
}
|
||||
|
||||
dst := model.ParseName(r.Destination)
|
||||
if !dst.IsValid() {
|
||||
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("destination %q is invalid", r.Source)})
|
||||
if err := ParseModelPath(req.Destination).Validate(); err != nil {
|
||||
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
|
||||
return
|
||||
}
|
||||
|
||||
if err := CopyModel(src, dst); errors.Is(err, os.ErrNotExist) {
|
||||
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model %q not found", r.Source)})
|
||||
} else if err != nil {
|
||||
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
|
||||
if err := CopyModel(req.Source, req.Destination); err != nil {
|
||||
if os.IsNotExist(err) {
|
||||
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Source)})
|
||||
} else {
|
||||
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
|
||||
}
|
||||
return
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1223,11 +1264,6 @@ func (s *Server) ChatHandler(c *gin.Context) {
|
||||
select {
|
||||
case runner = <-rCh:
|
||||
case err = <-eCh:
|
||||
if errors.Is(err, context.Canceled) {
|
||||
c.JSON(499, gin.H{"error": "request canceled"})
|
||||
return
|
||||
}
|
||||
|
||||
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
|
||||
return
|
||||
}
|
||||
|
||||
100
server/sched.go
100
server/sched.go
@@ -23,6 +23,7 @@ import (
|
||||
type LlmRequest struct {
|
||||
ctx context.Context //nolint:containedctx
|
||||
model *Model
|
||||
ggml *llm.GGML // TODO - how large is this, and do we need to free it after we've finished loading?
|
||||
opts api.Options
|
||||
sessionDuration time.Duration
|
||||
successCh chan *runnerRef
|
||||
@@ -38,7 +39,7 @@ type Scheduler struct {
|
||||
loaded map[string]*runnerRef
|
||||
loadedMu sync.Mutex
|
||||
|
||||
loadFn func(req *LlmRequest, ggml *llm.GGML, gpus gpu.GpuInfoList)
|
||||
loadFn func(req *LlmRequest, gpus gpu.GpuInfoList)
|
||||
newServerFn func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options) (llm.LlamaServer, error)
|
||||
getGpuFn func() gpu.GpuInfoList
|
||||
}
|
||||
@@ -46,7 +47,6 @@ type Scheduler struct {
|
||||
// TODO set this to zero after a release or two, to enable multiple models by default
|
||||
var loadedMax = 1 // Maximum runners; < 1 maps to as many as will fit in VRAM (unlimited for CPU runners)
|
||||
var maxQueuedRequests = 10 // TODO configurable
|
||||
var numParallel = 1
|
||||
|
||||
func InitScheduler(ctx context.Context) *Scheduler {
|
||||
maxRunners := os.Getenv("OLLAMA_MAX_LOADED_MODELS")
|
||||
@@ -58,14 +58,6 @@ func InitScheduler(ctx context.Context) *Scheduler {
|
||||
loadedMax = m
|
||||
}
|
||||
}
|
||||
if onp := os.Getenv("OLLAMA_NUM_PARALLEL"); onp != "" {
|
||||
p, err := strconv.Atoi(onp)
|
||||
if err != nil || p <= 0 {
|
||||
slog.Error("invalid parallel setting, must be greater than zero", "OLLAMA_NUM_PARALLEL", onp, "error", err)
|
||||
} else {
|
||||
numParallel = p
|
||||
}
|
||||
}
|
||||
|
||||
sched := &Scheduler{
|
||||
pendingReqCh: make(chan *LlmRequest, maxQueuedRequests),
|
||||
@@ -82,16 +74,20 @@ func InitScheduler(ctx context.Context) *Scheduler {
|
||||
|
||||
// context must be canceled to decrement ref count and release the runner
|
||||
func (s *Scheduler) GetRunner(c context.Context, model *Model, opts api.Options, sessionDuration time.Duration) (chan *runnerRef, chan error) {
|
||||
ggml, err := llm.LoadModel(model.ModelPath)
|
||||
req := &LlmRequest{
|
||||
ctx: c,
|
||||
model: model,
|
||||
ggml: ggml,
|
||||
opts: opts,
|
||||
sessionDuration: sessionDuration,
|
||||
successCh: make(chan *runnerRef),
|
||||
errCh: make(chan error, 1),
|
||||
}
|
||||
// context split across parallel threads
|
||||
opts.NumCtx = opts.NumCtx * numParallel
|
||||
if err != nil {
|
||||
req.errCh <- err
|
||||
return req.successCh, req.errCh
|
||||
}
|
||||
select {
|
||||
case s.pendingReqCh <- req:
|
||||
default:
|
||||
@@ -134,47 +130,28 @@ func (s *Scheduler) processPending(ctx context.Context) {
|
||||
pending.useLoadedRunner(runner, s.finishedReqCh)
|
||||
break
|
||||
}
|
||||
} else if loadedCount == 0 {
|
||||
slog.Debug("loading first model", "model", pending.model.ModelPath)
|
||||
gpus := s.getGpuFn()
|
||||
g := pickBestFitGPUs(pending, gpus)
|
||||
if g != nil {
|
||||
gpus = g
|
||||
}
|
||||
s.loadFn(pending, gpus)
|
||||
break
|
||||
} else if loadedMax > 0 && loadedCount >= loadedMax {
|
||||
slog.Debug("max runners achieved, unloading one to make room", "runner_count", loadedCount)
|
||||
runnerToExpire = s.findRunnerToUnload(pending)
|
||||
} else {
|
||||
// Either no models are loaded or below loadedMax
|
||||
// More than one loaded model, so we have to see if the new one fits
|
||||
// Get a refreshed GPU list
|
||||
gpus := s.getGpuFn()
|
||||
|
||||
// Load model for fitting
|
||||
ggml, err := llm.LoadModel(pending.model.ModelPath)
|
||||
if err != nil {
|
||||
pending.errCh <- err
|
||||
break
|
||||
}
|
||||
|
||||
// If we're CPU only mode, just limit by loadedMax above
|
||||
// TODO handle system memory exhaustion
|
||||
if (len(gpus) == 1 && gpus[0].Library == "cpu") || pending.opts.NumGPU == 0 {
|
||||
slog.Debug("cpu mode with existing models, loading")
|
||||
s.loadFn(pending, ggml, gpus)
|
||||
break
|
||||
}
|
||||
|
||||
// No models loaded. Load the model but prefer the best fit.
|
||||
if loadedCount == 0 {
|
||||
slog.Debug("loading first model", "model", pending.model.ModelPath)
|
||||
g := pickBestFitGPUs(pending, ggml, gpus)
|
||||
if g != nil {
|
||||
gpus = g
|
||||
}
|
||||
s.loadFn(pending, ggml, gpus)
|
||||
break
|
||||
}
|
||||
|
||||
// More than one loaded model, so we have to see if the new one fits
|
||||
// Update free memory from currently loaded models
|
||||
s.updateFreeSpace(gpus)
|
||||
gpus = pickBestFitGPUs(pending, ggml, gpus)
|
||||
gpus = pickBestFitGPUs(pending, gpus)
|
||||
if gpus != nil {
|
||||
slog.Debug("new model fits with existing models, loading")
|
||||
s.loadFn(pending, ggml, gpus)
|
||||
s.loadFn(pending, gpus)
|
||||
break
|
||||
}
|
||||
runnerToExpire = s.findRunnerToUnload(pending)
|
||||
@@ -250,7 +227,6 @@ func (s *Scheduler) processCompleted(ctx context.Context) {
|
||||
defer runner.refMu.Unlock()
|
||||
if runner.expireTimer != nil {
|
||||
runner.expireTimer.Stop()
|
||||
runner.expireTimer = nil
|
||||
}
|
||||
s.expiredCh <- runner
|
||||
})
|
||||
@@ -297,10 +273,6 @@ func (pending *LlmRequest) useLoadedRunner(runner *runnerRef, finished chan *Llm
|
||||
runner.refMu.Lock()
|
||||
defer runner.refMu.Unlock()
|
||||
runner.refCount++
|
||||
if runner.expireTimer != nil {
|
||||
runner.expireTimer.Stop()
|
||||
runner.expireTimer = nil
|
||||
}
|
||||
runner.sessionDuration = pending.sessionDuration
|
||||
pending.successCh <- runner
|
||||
go func() {
|
||||
@@ -310,8 +282,8 @@ func (pending *LlmRequest) useLoadedRunner(runner *runnerRef, finished chan *Llm
|
||||
}()
|
||||
}
|
||||
|
||||
func (s *Scheduler) load(req *LlmRequest, ggml *llm.GGML, gpus gpu.GpuInfoList) {
|
||||
llama, err := s.newServerFn(gpus, req.model.ModelPath, ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts)
|
||||
func (s *Scheduler) load(req *LlmRequest, gpus gpu.GpuInfoList) {
|
||||
llama, err := s.newServerFn(gpus, req.model.ModelPath, req.ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts)
|
||||
if err != nil {
|
||||
// some older models are not compatible with newer versions of llama.cpp
|
||||
// show a generalized compatibility error until there is a better way to
|
||||
@@ -431,10 +403,6 @@ type runnerRef struct {
|
||||
|
||||
// The refMu must already be held when calling unload
|
||||
func (runner *runnerRef) unload() {
|
||||
if runner.expireTimer != nil {
|
||||
runner.expireTimer.Stop()
|
||||
runner.expireTimer = nil
|
||||
}
|
||||
if runner.llama != nil {
|
||||
runner.llama.Close()
|
||||
}
|
||||
@@ -449,21 +417,16 @@ func (runner *runnerRef) needsReload(ctx context.Context, req *LlmRequest) bool
|
||||
slog.Debug("evaluating already loaded", "model", req.model.ModelPath)
|
||||
runner.refMu.Lock()
|
||||
defer runner.refMu.Unlock()
|
||||
|
||||
// Ignore the NumGPU settings for comparison
|
||||
optsExisting := runner.Options.Runner
|
||||
optsExisting.NumGPU = -1
|
||||
optsNew := req.opts.Runner
|
||||
optsNew.NumGPU = -1
|
||||
timeout := 10 * time.Second
|
||||
if runner.loading {
|
||||
timeout = 2 * time.Minute // Initial load can take a long time for big models on slow systems...
|
||||
}
|
||||
|
||||
// Don't reload runner if num_gpu=-1 was provided
|
||||
optsExisting := runner.Options.Runner
|
||||
optsNew := req.opts.Runner
|
||||
if optsNew.NumGPU < 0 {
|
||||
optsExisting.NumGPU = -1
|
||||
optsNew.NumGPU = -1
|
||||
}
|
||||
|
||||
ctx, cancel := context.WithTimeout(ctx, timeout)
|
||||
ctx, cancel := context.WithTimeout(ctx, timeout) // BUG -
|
||||
defer cancel()
|
||||
if !reflect.DeepEqual(runner.adapters, req.model.AdapterPaths) || // have the adapters changed?
|
||||
!reflect.DeepEqual(runner.projectors, req.model.ProjectorPaths) || // have the projectors changed?
|
||||
@@ -471,7 +434,6 @@ func (runner *runnerRef) needsReload(ctx context.Context, req *LlmRequest) bool
|
||||
runner.llama.Ping(ctx) != nil {
|
||||
return true
|
||||
}
|
||||
|
||||
return false
|
||||
}
|
||||
|
||||
@@ -492,7 +454,7 @@ func (a ByDuration) Less(i, j int) bool {
|
||||
|
||||
// pickBestFitGPUs will try to find the optimal placement of the model in the available GPUs where the model fully fits
|
||||
// If the model can not be fit fully within the available GPU(s) nil is returned
|
||||
func pickBestFitGPUs(req *LlmRequest, ggml *llm.GGML, gpus gpu.GpuInfoList) gpu.GpuInfoList {
|
||||
func pickBestFitGPUs(req *LlmRequest, gpus gpu.GpuInfoList) gpu.GpuInfoList {
|
||||
var estimatedVRAM uint64
|
||||
for _, gl := range gpus.ByLibrary() {
|
||||
var ok bool
|
||||
@@ -504,7 +466,7 @@ func pickBestFitGPUs(req *LlmRequest, ggml *llm.GGML, gpus gpu.GpuInfoList) gpu.
|
||||
|
||||
// First attempt to fit the model into a single GPU
|
||||
for _, g := range sgl {
|
||||
if ok, estimatedVRAM = llm.PredictServerFit([]gpu.GpuInfo{g}, ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts); ok {
|
||||
if ok, estimatedVRAM = llm.PredictServerFit([]gpu.GpuInfo{g}, req.ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts); ok {
|
||||
slog.Debug("new model will fit in available VRAM in single GPU, loading", "model", req.model.ModelPath, "gpu", g.ID, "available", g.FreeMemory, "required", format.HumanBytes2(estimatedVRAM))
|
||||
return []gpu.GpuInfo{g}
|
||||
}
|
||||
@@ -515,7 +477,7 @@ func pickBestFitGPUs(req *LlmRequest, ggml *llm.GGML, gpus gpu.GpuInfoList) gpu.
|
||||
// - try subsets of GPUs instead of just falling back to 1 or all in a family
|
||||
|
||||
// Now try all the GPUs
|
||||
if ok, estimatedVRAM = llm.PredictServerFit(gl, ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts); ok {
|
||||
if ok, estimatedVRAM = llm.PredictServerFit(gl, req.ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts); ok {
|
||||
slog.Debug("new model will fit in available VRAM, loading", "model", req.model.ModelPath, "library", gl[0].Library, "required", format.HumanBytes2(estimatedVRAM))
|
||||
return gl
|
||||
}
|
||||
|
||||
@@ -28,44 +28,28 @@ func TestInitScheduler(t *testing.T) {
|
||||
ctx, done := context.WithCancel(context.Background())
|
||||
defer done()
|
||||
initialMax := loadedMax
|
||||
initialParallel := numParallel
|
||||
s := InitScheduler(ctx)
|
||||
require.Equal(t, initialMax, loadedMax)
|
||||
s.loadedMu.Lock()
|
||||
require.NotNil(t, s.loaded)
|
||||
s.loadedMu.Unlock()
|
||||
|
||||
os.Setenv("OLLAMA_MAX_LOADED_MODELS", "blue")
|
||||
s = InitScheduler(ctx)
|
||||
require.Equal(t, initialMax, loadedMax)
|
||||
s.loadedMu.Lock()
|
||||
require.NotNil(t, s.loaded)
|
||||
s.loadedMu.Unlock()
|
||||
|
||||
os.Setenv("OLLAMA_MAX_LOADED_MODELS", "0")
|
||||
s = InitScheduler(ctx)
|
||||
require.Equal(t, 0, loadedMax)
|
||||
s.loadedMu.Lock()
|
||||
require.NotNil(t, s.loaded)
|
||||
s.loadedMu.Unlock()
|
||||
|
||||
os.Setenv("OLLAMA_NUM_PARALLEL", "blue")
|
||||
_ = InitScheduler(ctx)
|
||||
require.Equal(t, initialParallel, numParallel)
|
||||
os.Setenv("OLLAMA_NUM_PARALLEL", "10")
|
||||
_ = InitScheduler(ctx)
|
||||
require.Equal(t, 10, numParallel)
|
||||
}
|
||||
|
||||
func TestLoad(t *testing.T) {
|
||||
ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
|
||||
defer done()
|
||||
s := InitScheduler(ctx)
|
||||
var ggml *llm.GGML // value not used in tests
|
||||
req := &LlmRequest{
|
||||
ctx: ctx,
|
||||
model: &Model{ModelPath: "foo"},
|
||||
opts: api.DefaultOptions(),
|
||||
successCh: make(chan *runnerRef, 1),
|
||||
errCh: make(chan error, 1),
|
||||
sessionDuration: 2,
|
||||
@@ -75,12 +59,10 @@ func TestLoad(t *testing.T) {
|
||||
return nil, fmt.Errorf("something failed to load model blah")
|
||||
}
|
||||
gpus := gpu.GpuInfoList{}
|
||||
s.load(req, ggml, gpus)
|
||||
s.load(req, gpus)
|
||||
require.Len(t, req.successCh, 0)
|
||||
require.Len(t, req.errCh, 1)
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 0)
|
||||
s.loadedMu.Unlock()
|
||||
err := <-req.errCh
|
||||
require.Contains(t, err.Error(), "this model may be incompatible")
|
||||
|
||||
@@ -88,30 +70,26 @@ func TestLoad(t *testing.T) {
|
||||
s.newServerFn = func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options) (llm.LlamaServer, error) {
|
||||
return server, nil
|
||||
}
|
||||
s.load(req, ggml, gpus)
|
||||
s.load(req, gpus)
|
||||
select {
|
||||
case err := <-req.errCh:
|
||||
require.NoError(t, err)
|
||||
case resp := <-req.successCh:
|
||||
require.Equal(t, uint64(10), resp.estimatedVRAM)
|
||||
require.Equal(t, uint(1), resp.refCount)
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 1)
|
||||
s.loadedMu.Unlock()
|
||||
}
|
||||
|
||||
req.model.ModelPath = "dummy_model_path"
|
||||
server.waitResp = fmt.Errorf("wait failure")
|
||||
s.load(req, ggml, gpus)
|
||||
s.load(req, gpus)
|
||||
select {
|
||||
case err := <-req.errCh:
|
||||
require.Contains(t, err.Error(), "wait failure")
|
||||
case resp := <-req.successCh:
|
||||
t.Errorf("unexpected success %v", resp)
|
||||
}
|
||||
s.loadedMu.Lock()
|
||||
runner := s.loaded["dummy_model_path"]
|
||||
s.loadedMu.Unlock()
|
||||
require.NotNil(t, runner)
|
||||
require.Equal(t, uint(0), runner.refCount)
|
||||
time.Sleep(1 * time.Millisecond)
|
||||
@@ -123,7 +101,6 @@ type bundle struct {
|
||||
ctxDone func()
|
||||
srv *mockLlm
|
||||
req *LlmRequest
|
||||
ggml *llm.GGML
|
||||
}
|
||||
|
||||
func (scenario *bundle) newServer(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options) (llm.LlamaServer, error) {
|
||||
@@ -155,16 +132,14 @@ func newScenario(t *testing.T, ctx context.Context, modelName string, estimatedV
|
||||
{Name: "blk.0.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: &bytes.Reader{}},
|
||||
})
|
||||
assert.Nil(t, err)
|
||||
|
||||
fname := f.Name()
|
||||
model := &Model{Name: modelName, ModelPath: fname}
|
||||
scenario.ggml, err = llm.LoadModel(model.ModelPath)
|
||||
ggml, err := llm.LoadModel(model.ModelPath)
|
||||
require.NoError(t, err)
|
||||
|
||||
scenario.req = &LlmRequest{
|
||||
ctx: scenario.ctx,
|
||||
model: model,
|
||||
opts: api.DefaultOptions(),
|
||||
ggml: ggml,
|
||||
sessionDuration: 5 * time.Millisecond,
|
||||
successCh: make(chan *runnerRef, 1),
|
||||
errCh: make(chan error, 1),
|
||||
@@ -182,20 +157,18 @@ func TestRequests(t *testing.T) {
|
||||
scenario1a.req.sessionDuration = 0
|
||||
scenario1b := newScenario(t, ctx, "ollama-model-1", 11)
|
||||
scenario1b.req.model = scenario1a.req.model
|
||||
scenario1b.ggml = scenario1a.ggml
|
||||
scenario1b.req.ggml = scenario1a.req.ggml
|
||||
scenario1b.req.sessionDuration = 0
|
||||
|
||||
// simple reload of same model
|
||||
scenario2a := newScenario(t, ctx, "ollama-model-1", 20)
|
||||
scenario2a.req.model = scenario1a.req.model
|
||||
scenario2a.ggml = scenario1a.ggml
|
||||
scenario2a.req.ggml = scenario1a.req.ggml
|
||||
|
||||
// Multiple loaded models
|
||||
scenario3a := newScenario(t, ctx, "ollama-model-3a", 1*format.GigaByte)
|
||||
scenario3b := newScenario(t, ctx, "ollama-model-3b", 24*format.GigaByte)
|
||||
scenario3c := newScenario(t, ctx, "ollama-model-4a", 30)
|
||||
scenario3c.req.opts.NumGPU = 0 // CPU load, will be allowed
|
||||
scenario3d := newScenario(t, ctx, "ollama-model-3c", 30) // Needs prior unloaded
|
||||
scenario3c := newScenario(t, ctx, "ollama-model-3c", 30) // Needs prior unloaded
|
||||
|
||||
s := InitScheduler(ctx)
|
||||
s.getGpuFn = func() gpu.GpuInfoList {
|
||||
@@ -264,9 +237,7 @@ func TestRequests(t *testing.T) {
|
||||
case <-ctx.Done():
|
||||
t.Errorf("timeout")
|
||||
}
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 1)
|
||||
s.loadedMu.Unlock()
|
||||
|
||||
loadedMax = 0
|
||||
s.newServerFn = scenario3b.newServer
|
||||
@@ -280,14 +251,19 @@ func TestRequests(t *testing.T) {
|
||||
case <-ctx.Done():
|
||||
t.Errorf("timeout")
|
||||
}
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 2)
|
||||
s.loadedMu.Unlock()
|
||||
|
||||
// This is a CPU load with NumGPU = 0 so it should load
|
||||
// Try to load a model that wont fit
|
||||
s.newServerFn = scenario3c.newServer
|
||||
slog.Info("scenario3c")
|
||||
require.Len(t, s.loaded, 2)
|
||||
scenario3a.ctxDone() // Won't help since this one isn't big enough to make room
|
||||
time.Sleep(2 * time.Millisecond)
|
||||
s.pendingReqCh <- scenario3c.req
|
||||
// finish prior request, so new model can load
|
||||
time.Sleep(6 * time.Millisecond)
|
||||
require.Len(t, s.loaded, 1)
|
||||
scenario3b.ctxDone()
|
||||
select {
|
||||
case resp := <-scenario3c.req.successCh:
|
||||
require.Equal(t, resp.llama, scenario3c.srv)
|
||||
@@ -296,36 +272,7 @@ func TestRequests(t *testing.T) {
|
||||
case <-ctx.Done():
|
||||
t.Errorf("timeout")
|
||||
}
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 3)
|
||||
s.loadedMu.Unlock()
|
||||
|
||||
// Try to load a model that wont fit
|
||||
s.newServerFn = scenario3d.newServer
|
||||
slog.Info("scenario3d")
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 3)
|
||||
s.loadedMu.Unlock()
|
||||
scenario3a.ctxDone() // Won't help since this one isn't big enough to make room
|
||||
time.Sleep(2 * time.Millisecond)
|
||||
s.pendingReqCh <- scenario3d.req
|
||||
// finish prior request, so new model can load
|
||||
time.Sleep(6 * time.Millisecond)
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 2)
|
||||
s.loadedMu.Unlock()
|
||||
scenario3b.ctxDone()
|
||||
select {
|
||||
case resp := <-scenario3d.req.successCh:
|
||||
require.Equal(t, resp.llama, scenario3d.srv)
|
||||
require.Len(t, s.pendingReqCh, 0)
|
||||
require.Len(t, scenario3d.req.errCh, 0)
|
||||
case <-ctx.Done():
|
||||
t.Errorf("timeout")
|
||||
}
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 2)
|
||||
s.loadedMu.Unlock()
|
||||
require.Len(t, s.loaded, 1)
|
||||
}
|
||||
|
||||
func TestGetRunner(t *testing.T) {
|
||||
@@ -368,25 +315,20 @@ func TestGetRunner(t *testing.T) {
|
||||
t.Errorf("timeout")
|
||||
}
|
||||
scenario1a.ctxDone()
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 1)
|
||||
s.loadedMu.Unlock()
|
||||
|
||||
scenario1c.req.model.ModelPath = "bad path"
|
||||
slog.Info("scenario1c")
|
||||
successCh1c, errCh1c := s.GetRunner(scenario1c.ctx, scenario1c.req.model, scenario1c.req.opts, scenario1c.req.sessionDuration)
|
||||
require.Len(t, s.pendingReqCh, 0)
|
||||
require.Len(t, successCh1c, 0)
|
||||
require.Len(t, errCh1c, 0)
|
||||
|
||||
time.Sleep(5 * time.Millisecond)
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 0)
|
||||
s.loadedMu.Unlock()
|
||||
require.Len(t, errCh1c, 1)
|
||||
err = <-errCh1c
|
||||
require.Contains(t, err.Error(), "bad path")
|
||||
scenario1b.ctxDone()
|
||||
|
||||
time.Sleep(5 * time.Millisecond)
|
||||
require.Len(t, s.loaded, 0)
|
||||
}
|
||||
|
||||
// TODO - add one scenario that triggers the bogus finished event with positive ref count
|
||||
@@ -412,9 +354,7 @@ func TestPrematureExpired(t *testing.T) {
|
||||
require.Equal(t, resp.llama, scenario1a.srv)
|
||||
require.Len(t, s.pendingReqCh, 0)
|
||||
require.Len(t, errCh1a, 0)
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 1)
|
||||
s.loadedMu.Unlock()
|
||||
slog.Info("sending premature expired event now")
|
||||
s.expiredCh <- resp // Shouldn't happen in real life, but make sure its safe
|
||||
case <-ctx.Done():
|
||||
@@ -426,9 +366,7 @@ func TestPrematureExpired(t *testing.T) {
|
||||
require.LessOrEqual(t, len(s.finishedReqCh), 1)
|
||||
time.Sleep(10 * time.Millisecond)
|
||||
require.Len(t, s.finishedReqCh, 0)
|
||||
s.loadedMu.Lock()
|
||||
require.Len(t, s.loaded, 0)
|
||||
s.loadedMu.Unlock()
|
||||
|
||||
// also shouldn't happen in real life
|
||||
s.finishedReqCh <- scenario1a.req
|
||||
@@ -439,7 +377,6 @@ func TestUseLoadedRunner(t *testing.T) {
|
||||
ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
|
||||
req := &LlmRequest{
|
||||
ctx: ctx,
|
||||
opts: api.DefaultOptions(),
|
||||
successCh: make(chan *runnerRef, 1),
|
||||
sessionDuration: 2,
|
||||
}
|
||||
@@ -483,31 +420,25 @@ func TestUpdateFreeSpace(t *testing.T) {
|
||||
r2 := &runnerRef{llama: llm2, gpus: gpus}
|
||||
|
||||
s := InitScheduler(ctx)
|
||||
s.loadedMu.Lock()
|
||||
s.loaded["a"] = r1
|
||||
s.loaded["b"] = r2
|
||||
s.loadedMu.Unlock()
|
||||
|
||||
s.updateFreeSpace(gpus)
|
||||
require.Equal(t, uint64(850), gpus[0].FreeMemory)
|
||||
require.Equal(t, uint64(1850), gpus[1].FreeMemory)
|
||||
|
||||
}
|
||||
|
||||
func TestFindRunnerToUnload(t *testing.T) {
|
||||
ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
|
||||
defer done()
|
||||
req := &LlmRequest{
|
||||
ctx: ctx,
|
||||
opts: api.DefaultOptions(),
|
||||
}
|
||||
req := &LlmRequest{ctx: ctx}
|
||||
r1 := &runnerRef{refCount: 1, sessionDuration: 1}
|
||||
r2 := &runnerRef{sessionDuration: 2}
|
||||
|
||||
s := InitScheduler(ctx)
|
||||
s.loadedMu.Lock()
|
||||
s.loaded["a"] = r1
|
||||
s.loaded["b"] = r2
|
||||
s.loadedMu.Unlock()
|
||||
|
||||
resp := s.findRunnerToUnload(req)
|
||||
require.Equal(t, r2, resp)
|
||||
@@ -522,11 +453,10 @@ func TestNeedsReload(t *testing.T) {
|
||||
defer done()
|
||||
|
||||
llm := &mockLlm{}
|
||||
do := api.DefaultOptions()
|
||||
runner := &runnerRef{
|
||||
adapters: []string{"adapter1"},
|
||||
projectors: []string{"projector1"},
|
||||
Options: &do,
|
||||
Options: &api.Options{},
|
||||
llama: llm,
|
||||
}
|
||||
req := &LlmRequest{
|
||||
@@ -534,7 +464,7 @@ func TestNeedsReload(t *testing.T) {
|
||||
AdapterPaths: []string{"adapter2"},
|
||||
ProjectorPaths: []string{"projector2"},
|
||||
},
|
||||
opts: api.DefaultOptions(),
|
||||
opts: api.Options{},
|
||||
}
|
||||
resp := runner.needsReload(ctx, req)
|
||||
require.True(t, resp)
|
||||
@@ -555,9 +485,6 @@ func TestNeedsReload(t *testing.T) {
|
||||
require.False(t, resp)
|
||||
req.opts.NumGPU = 99
|
||||
resp = runner.needsReload(ctx, req)
|
||||
require.True(t, resp)
|
||||
req.opts.NumGPU = -1
|
||||
resp = runner.needsReload(ctx, req)
|
||||
require.False(t, resp)
|
||||
}
|
||||
|
||||
@@ -573,10 +500,8 @@ func TestUnloadAllRunners(t *testing.T) {
|
||||
r1 := &runnerRef{llama: llm1}
|
||||
r2 := &runnerRef{llama: llm2}
|
||||
|
||||
s.loadedMu.Lock()
|
||||
s.loaded["a"] = r1
|
||||
s.loaded["b"] = r2
|
||||
s.loadedMu.Unlock()
|
||||
s.unloadAllRunners()
|
||||
|
||||
require.True(t, llm1.closeCalled)
|
||||
|
||||
@@ -1,18 +0,0 @@
|
||||
// Package errtypes contains custom error types
|
||||
package errtypes
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"strings"
|
||||
)
|
||||
|
||||
const UnknownOllamaKeyErrMsg = "unknown ollama key"
|
||||
|
||||
// TODO: This should have a structured response from the API
|
||||
type UnknownOllamaKey struct {
|
||||
Key string
|
||||
}
|
||||
|
||||
func (e *UnknownOllamaKey) Error() string {
|
||||
return fmt.Sprintf("unauthorized: %s %q", UnknownOllamaKeyErrMsg, strings.TrimSpace(e.Key))
|
||||
}
|
||||
87
types/model/digest.go
Normal file
87
types/model/digest.go
Normal file
@@ -0,0 +1,87 @@
|
||||
package model
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"log/slog"
|
||||
"strings"
|
||||
"unicode"
|
||||
)
|
||||
|
||||
// Digest represents a digest of a model Manifest. It is a comparable value
|
||||
// type and is immutable.
|
||||
//
|
||||
// The zero Digest is not a valid digest.
|
||||
type Digest struct {
|
||||
s string
|
||||
}
|
||||
|
||||
// Split returns the digest type and the digest value.
|
||||
func (d Digest) Split() (typ, digest string) {
|
||||
typ, digest, _ = strings.Cut(d.s, "-")
|
||||
return
|
||||
}
|
||||
|
||||
// String returns the digest in the form of "<digest-type>-<digest>", or the
|
||||
// empty string if the digest is invalid.
|
||||
func (d Digest) String() string { return d.s }
|
||||
|
||||
// IsValid returns true if the digest is valid (not zero).
|
||||
//
|
||||
// A valid digest may be created only by ParseDigest, or
|
||||
// ParseName(name).Digest().
|
||||
func (d Digest) IsValid() bool { return d.s != "" }
|
||||
|
||||
// LogValue implements slog.Value.
|
||||
func (d Digest) LogValue() slog.Value {
|
||||
return slog.StringValue(d.String())
|
||||
}
|
||||
|
||||
var (
|
||||
_ slog.LogValuer = Digest{}
|
||||
)
|
||||
|
||||
// ParseDigest parses a string in the form of "<digest-type>-<digest>" into a
|
||||
// Digest.
|
||||
func ParseDigest(s string) Digest {
|
||||
typ, digest, ok := strings.Cut(s, "-")
|
||||
if !ok {
|
||||
typ, digest, ok = strings.Cut(s, ":")
|
||||
}
|
||||
if ok && isValidDigestType(typ) && isValidHex(digest) && len(digest) >= 2 {
|
||||
return Digest{s: fmt.Sprintf("%s-%s", typ, digest)}
|
||||
}
|
||||
return Digest{}
|
||||
}
|
||||
|
||||
func MustParseDigest(s string) Digest {
|
||||
d := ParseDigest(s)
|
||||
if !d.IsValid() {
|
||||
panic(fmt.Sprintf("invalid digest: %q", s))
|
||||
}
|
||||
return d
|
||||
}
|
||||
|
||||
func isValidDigestType(s string) bool {
|
||||
if len(s) == 0 {
|
||||
return false
|
||||
}
|
||||
for _, r := range s {
|
||||
if !unicode.IsLower(r) && !unicode.IsDigit(r) {
|
||||
return false
|
||||
}
|
||||
}
|
||||
return true
|
||||
}
|
||||
|
||||
func isValidHex(s string) bool {
|
||||
if len(s) == 0 {
|
||||
return false
|
||||
}
|
||||
for i := range s {
|
||||
c := s[i]
|
||||
if c < '0' || c > '9' && c < 'a' || c > 'f' {
|
||||
return false
|
||||
}
|
||||
}
|
||||
return true
|
||||
}
|
||||
46
types/model/digest_test.go
Normal file
46
types/model/digest_test.go
Normal file
@@ -0,0 +1,46 @@
|
||||
package model
|
||||
|
||||
import "testing"
|
||||
|
||||
var testDigests = map[string]Digest{
|
||||
"": {},
|
||||
"sha256-1234": {s: "sha256-1234"},
|
||||
"sha256-5678": {s: "sha256-5678"},
|
||||
"blake2-9abc": {s: "blake2-9abc"},
|
||||
"-1234": {},
|
||||
"sha256-": {},
|
||||
"sha256-1234-5678": {},
|
||||
"sha256-P": {}, // invalid hex
|
||||
"sha256-1234P": {},
|
||||
"---": {},
|
||||
}
|
||||
|
||||
func TestDigestParse(t *testing.T) {
|
||||
// Test cases.
|
||||
for s, want := range testDigests {
|
||||
got := ParseDigest(s)
|
||||
t.Logf("ParseDigest(%q) = %#v", s, got)
|
||||
if got != want {
|
||||
t.Errorf("ParseDigest(%q) = %q; want %q", s, got, want)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func TestDigestString(t *testing.T) {
|
||||
// Test cases.
|
||||
for s, d := range testDigests {
|
||||
want := s
|
||||
if !d.IsValid() {
|
||||
want = ""
|
||||
}
|
||||
got := d.String()
|
||||
if got != want {
|
||||
t.Errorf("ParseDigest(%q).String() = %q; want %q", s, got, want)
|
||||
}
|
||||
|
||||
got = ParseDigest(s).String()
|
||||
if got != want {
|
||||
t.Errorf("roundtrip ParseDigest(%q).String() = %q; want %q", s, got, want)
|
||||
}
|
||||
}
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -1,2 +1,2 @@
|
||||
go test fuzz v1
|
||||
string("00@")
|
||||
string("/0")
|
||||
2
types/model/testdata/fuzz/FuzzParseRef/27fd759314f0e6d6
vendored
Normal file
2
types/model/testdata/fuzz/FuzzParseRef/27fd759314f0e6d6
vendored
Normal file
@@ -0,0 +1,2 @@
|
||||
go test fuzz v1
|
||||
string("0//0")
|
||||
2
types/model/testdata/fuzz/FuzzParseRef/3e3b70dba384074d
vendored
Normal file
2
types/model/testdata/fuzz/FuzzParseRef/3e3b70dba384074d
vendored
Normal file
@@ -0,0 +1,2 @@
|
||||
go test fuzz v1
|
||||
string("0 /0")
|
||||
2
types/model/testdata/fuzz/FuzzParseRef/71f1fdff711b6dab
vendored
Normal file
2
types/model/testdata/fuzz/FuzzParseRef/71f1fdff711b6dab
vendored
Normal file
@@ -0,0 +1,2 @@
|
||||
go test fuzz v1
|
||||
string("+0/00000")
|
||||
2
types/model/testdata/fuzz/FuzzParseRef/82c2975c430ac608
vendored
Normal file
2
types/model/testdata/fuzz/FuzzParseRef/82c2975c430ac608
vendored
Normal file
@@ -0,0 +1,2 @@
|
||||
go test fuzz v1
|
||||
string(":")
|
||||
2
types/model/testdata/fuzz/FuzzParseRef/b51b1c875e61a948
vendored
Normal file
2
types/model/testdata/fuzz/FuzzParseRef/b51b1c875e61a948
vendored
Normal file
@@ -0,0 +1,2 @@
|
||||
go test fuzz v1
|
||||
string("0+.\xf2\x80\xf6\x9d00000\xe5\x99\xe6\xd900\xd90\xa60\x91\xdc0\xff\xbf\x99\xe800\xb9\xdc\xd6\xc300\x970\xfb\xfd0\xe0\x8a\xe1\xad\xd40\x9700\xa80\x980\xdd0000\xb00\x91000\xfe0\x89\x9b\x90\x93\x9f0\xe60\xf7\x84\xb0\x87\xa5\xff0\xa000\x9a\x85\xf6\x85\xfe\xa9\xf9\xe9\xde00\xf4\xe0\x8f\x81\xad\xde00\xd700\xaa\xe000000\xb1\xee0\x91")
|
||||
15
types/structs/structs.go
Normal file
15
types/structs/structs.go
Normal file
@@ -0,0 +1,15 @@
|
||||
// Copyright (c) Tailscale Inc & AUTHORS
|
||||
// SPDX-License-Identifier: BSD-3-Clause
|
||||
|
||||
// Package structs contains the Incomparable type.
|
||||
package structs
|
||||
|
||||
// Incomparable is a zero-width incomparable type. If added as the
|
||||
// first field in a struct, it marks that struct as not comparable
|
||||
// (can't do == or be a map key) and usually doesn't add any width to
|
||||
// the struct (unless the struct has only small fields).
|
||||
//
|
||||
// By making a struct incomparable, you can prevent misuse (prevent
|
||||
// people from using ==), but also you can shrink generated binaries,
|
||||
// as the compiler can omit equality funcs from the binary.
|
||||
type Incomparable [0]func()
|
||||
Reference in New Issue
Block a user