some more menu options...

.gitignore

@@ -12,4 +12,3 @@ ggml-metal.metal
 test_data
 *.crt
 llm/build
-__debug_bin*

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">
 </div>
 
 # Ollama
@@ -51,7 +51,7 @@ Here are some example models that can be downloaded:
 | ------------------ | ---------- | ----- | ------------------------------ |
 | 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
 The image features a yellow smiley face, which is likely the central focus of the picture.
 ```
 
-### Pass the prompt as an argument
+### Pass in prompt as arguments
 
 ```
 $ ollama run llama3 "Summarize this file: $(cat README.md)"
@@ -284,19 +284,17 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [OllamaGUI](https://github.com/enoch1118/ollamaGUI)
 - [OpenAOE](https://github.com/InternLM/OpenAOE)
 - [Odin Runes](https://github.com/leonid20000/OdinRunes)
-- [LLM-X](https://github.com/mrdjohnson/llm-x) (Progressive Web App)
+- [LLM-X: Progressive Web App](https://github.com/mrdjohnson/llm-x)
 - [AnythingLLM (Docker + MacOs/Windows/Linux native app)](https://github.com/Mintplex-Labs/anything-llm)
 - [Ollama Basic Chat: Uses HyperDiv Reactive UI](https://github.com/rapidarchitect/ollama_basic_chat)
 - [Ollama-chats RPG](https://github.com/drazdra/ollama-chats)
-- [QA-Pilot](https://github.com/reid41/QA-Pilot) (Chat with Code Repository)
-- [ChatOllama](https://github.com/sugarforever/chat-ollama) (Open Source Chatbot based on Ollama with Knowledge Bases)
-- [CRAG Ollama Chat](https://github.com/Nagi-ovo/CRAG-Ollama-Chat) (Simple Web Search with Corrective RAG)
-- [RAGFlow](https://github.com/infiniflow/ragflow) (Open-source Retrieval-Augmented Generation engine based on deep document understanding)
-- [StreamDeploy](https://github.com/StreamDeploy-DevRel/streamdeploy-llm-app-scaffold) (LLM Application Scaffold)
-- [chat](https://github.com/swuecho/chat) (chat web app for teams)
+- [QA-Pilot: Chat with Code Repository](https://github.com/reid41/QA-Pilot)
+- [ChatOllama: Open Source Chatbot based on Ollama with Knowledge Bases](https://github.com/sugarforever/chat-ollama)
+- [CRAG Ollama Chat: Simple Web Search with Corrective RAG](https://github.com/Nagi-ovo/CRAG-Ollama-Chat)
+- [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](https://github.com/datvodinh/rag-chatbot.git) (Local Chat with multiple PDFs using Ollama and RAG)
-- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) (Flexible native client with RAG & multi-agent automation)
+- [Ollama RAG Chatbot: Local Chat with multiples PDFs using Ollama and RAG.](https://github.com/datvodinh/rag-chatbot.git)
 
 ### Terminal
 
@@ -350,11 +348,9 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [Haystack](https://github.com/deepset-ai/haystack-integrations/blob/main/integrations/ollama.md)
 - [Elixir LangChain](https://github.com/brainlid/langchain)
 - [Ollama for R - rollama](https://github.com/JBGruber/rollama)
-- [Ollama for R - ollama-r](https://github.com/hauselin/ollama-r)
 - [Ollama-ex for Elixir](https://github.com/lebrunel/ollama-ex)
 - [Ollama Connector for SAP ABAP](https://github.com/b-tocs/abap_btocs_ollama)
 - [Testcontainers](https://testcontainers.com/modules/ollama/)
-- [Portkey](https://portkey.ai/docs/welcome/integration-guides/ollama)
 
 ### Mobile
 
@@ -374,13 +370,12 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [Ollama Telegram Bot](https://github.com/ruecat/ollama-telegram)
 - [Hass Ollama Conversation](https://github.com/ej52/hass-ollama-conversation)
 - [Rivet plugin](https://github.com/abrenneke/rivet-plugin-ollama)
+- [Llama Coder](https://github.com/ex3ndr/llama-coder) (Copilot alternative using Ollama)
 - [Obsidian BMO Chatbot plugin](https://github.com/longy2k/obsidian-bmo-chatbot)
 - [Cliobot](https://github.com/herval/cliobot) (Telegram bot with Ollama support)
 - [Copilot for Obsidian plugin](https://github.com/logancyang/obsidian-copilot)
 - [Obsidian Local GPT plugin](https://github.com/pfrankov/obsidian-local-gpt)
 - [Open Interpreter](https://docs.openinterpreter.com/language-model-setup/local-models/ollama)
-- [Llama Coder](https://github.com/ex3ndr/llama-coder) (Copilot alternative using Ollama)
-- [Ollama Copilot](https://github.com/bernardo-bruning/ollama-copilot) (Proxy that allows you to use ollama as a copilot like Github copilot)
 - [twinny](https://github.com/rjmacarthy/twinny) (Copilot and Copilot chat alternative using Ollama)
 - [Wingman-AI](https://github.com/RussellCanfield/wingman-ai) (Copilot code and chat alternative using Ollama and HuggingFace)
 - [Page Assist](https://github.com/n4ze3m/page-assist) (Chrome Extension)
@@ -389,5 +384,4 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [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. 

api/client.go

@@ -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
 }
 

api/client_test.go

@@ -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))
-			}
-		})
-	}
 }

api/types.go

@@ -309,7 +309,6 @@ 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
@@ -436,13 +435,6 @@ type Duration struct {
 	time.Duration
 }
 
-func (d Duration) MarshalJSON() ([]byte, error) {
-	if d.Duration < 0 {
-		return []byte("-1"), nil
-	}
-	return []byte("\"" + d.Duration.String() + "\""), nil
-}
-
 func (d *Duration) UnmarshalJSON(b []byte) (err error) {
 	var v any
 	if err := json.Unmarshal(b, &v); err != nil {
@@ -456,7 +448,7 @@ func (d *Duration) UnmarshalJSON(b []byte) (err error) {
 		if t < 0 {
 			d.Duration = time.Duration(math.MaxInt64)
 		} else {
-			d.Duration = time.Duration(int(t) * int(time.Second))
+			d.Duration = time.Duration(t * float64(time.Second))
 		}
 	case string:
 		d.Duration, err = time.ParseDuration(t)
@@ -466,8 +458,6 @@ func (d *Duration) UnmarshalJSON(b []byte) (err error) {
 		if d.Duration < 0 {
 			d.Duration = time.Duration(math.MaxInt64)
 		}
-	default:
-		return fmt.Errorf("Unsupported type: '%s'", reflect.TypeOf(v))
 	}
 
 	return nil

api/types_test.go

@@ -21,11 +21,6 @@ func TestKeepAliveParsingFromJSON(t *testing.T) {
 			req:  `{ "keep_alive": 42 }`,
 			exp:  &Duration{42 * time.Second},
 		},
-		{
-			name: "Positive Float",
-			req:  `{ "keep_alive": 42.5 }`,
-			exp:  &Duration{42 * time.Second},
-		},
 		{
 			name: "Positive Integer String",
 			req:  `{ "keep_alive": "42m" }`,
@@ -36,11 +31,6 @@ func TestKeepAliveParsingFromJSON(t *testing.T) {
 			req:  `{ "keep_alive": -1 }`,
 			exp:  &Duration{math.MaxInt64},
 		},
-		{
-			name: "Negative Float",
-			req:  `{ "keep_alive": -3.14 }`,
-			exp:  &Duration{math.MaxInt64},
-		},
 		{
 			name: "Negative Integer String",
 			req:  `{ "keep_alive": "-1m" }`,
@@ -58,50 +48,3 @@ func TestKeepAliveParsingFromJSON(t *testing.T) {
 		})
 	}
 }
-
-func TestDurationMarshalUnmarshal(t *testing.T) {
-	tests := []struct {
-		name     string
-		input    time.Duration
-		expected time.Duration
-	}{
-		{
-			"negative duration",
-			time.Duration(-1),
-			time.Duration(math.MaxInt64),
-		},
-		{
-			"positive duration",
-			time.Duration(42 * time.Second),
-			time.Duration(42 * time.Second),
-		},
-		{
-			"another positive duration",
-			time.Duration(42 * time.Minute),
-			time.Duration(42 * time.Minute),
-		},
-		{
-			"zero duration",
-			time.Duration(0),
-			time.Duration(0),
-		},
-		{
-			"max duration",
-			time.Duration(math.MaxInt64),
-			time.Duration(math.MaxInt64),
-		},
-	}
-
-	for _, test := range tests {
-		t.Run(test.name, func(t *testing.T) {
-			b, err := json.Marshal(Duration{test.input})
-			require.NoError(t, err)
-
-			var d Duration
-			err = json.Unmarshal(b, &d)
-			require.NoError(t, err)
-
-			assert.Equal(t, test.expected, d.Duration, "input %v, marshalled %v, got %v", test.input, string(b), d.Duration)
-		})
-	}
-}

app/.gitignore

@@ -1 +1,2 @@
 ollama.syso
+app

app/AppDelegate.h

@@ -0,0 +1,7 @@
+#import <Cocoa/Cocoa.h>
+
+@interface AppDelegate : NSObject <NSApplicationDelegate>
+
+- (void)applicationDidFinishLaunching:(NSNotification *)aNotification;
+
+@end

app/README.md

@@ -1,10 +1,6 @@
 # Ollama App
 
-## Linux
-
-TODO
-
-## MacOS
+## macOS
 
 TODO
 

app/app_darwin.go

@@ -0,0 +1,76 @@
+package main
+
+// #cgo CFLAGS: -x objective-c
+// #cgo LDFLAGS: -framework Cocoa -framework LocalAuthentication -framework ServiceManagement
+// #include "app_darwin.h"
+import "C"
+import (
+	"context"
+	"fmt"
+	"log/slog"
+	"os"
+	"path/filepath"
+	"syscall"
+)
+
+func init() {
+	home, err := os.UserHomeDir()
+	if err != nil {
+		panic(err)
+	}
+
+	ServerLogFile = filepath.Join(home, ".ollama", "logs", "server.log")
+}
+
+func run() {
+	initLogging()
+	slog.Info("ollama macOS app started")
+
+	// Ask to move to applications directory
+	moving := C.askToMoveToApplications()
+	if moving {
+		return
+	}
+
+	C.killOtherInstances()
+
+	code := C.installSymlink()
+	if code != 0 {
+		slog.Error("Failed to install symlink")
+	}
+
+	exe, err := os.Executable()
+	if err != nil {
+		panic(err)
+	}
+
+	var options ServerOptions
+
+	ctx, cancel := context.WithCancel(context.Background())
+	var done chan int
+
+	done, err = SpawnServer(ctx, filepath.Join(filepath.Dir(exe), "..", "Resources", "ollama"), options)
+	if err != nil {
+		slog.Error(fmt.Sprintf("Failed to spawn ollama server %s", err))
+		done = make(chan int, 1)
+		done <- 1
+	}
+
+	// Run the native macOS app
+	// Note: this will block until the app is closed
+	C.run()
+
+	slog.Info("ollama macOS app closed")
+
+	cancel()
+	slog.Info("Waiting for ollama server to shutdown...")
+	if done != nil {
+		<-done
+	}
+	slog.Info("Ollama app exiting")
+}
+
+//export Quit
+func Quit() {
+	syscall.Kill(os.Getpid(), syscall.SIGTERM)
+}

app/app_darwin.h

@@ -0,0 +1,13 @@
+#import <Cocoa/Cocoa.h>
+
+@interface AppDelegate : NSObject <NSApplicationDelegate>
+- (void)applicationDidFinishLaunching:(NSNotification *)aNotification;
+@end
+
+void run();
+void killOtherInstances();
+bool askToMoveToApplications();
+int createSymlinkWithAuthorization();
+int installSymlink();
+extern void Restart();
+extern void Quit();

app/app_darwin.m

@@ -0,0 +1,282 @@
+#import <AppKit/AppKit.h>
+#import <Cocoa/Cocoa.h>
+#import <CoreServices/CoreServices.h>
+#import <Security/Security.h>
+#import <ServiceManagement/ServiceManagement.h>
+#import "app_darwin.h"
+
+@interface AppDelegate ()
+
+@property (strong, nonatomic) NSStatusItem *statusItem;
+
+@end
+
+@implementation AppDelegate
+
+- (void)applicationDidFinishLaunching:(NSNotification *)aNotification {
+    // show status menu
+    NSMenu *menu = [[NSMenu alloc] init];
+
+    NSMenuItem *aboutMenuItem = [[NSMenuItem alloc] initWithTitle:@"About Ollama" action:@selector(aboutOllama) keyEquivalent:@""];
+    [aboutMenuItem setTarget:self];
+    [menu addItem:aboutMenuItem];
+
+    // Settings submenu
+    NSMenu *settingsMenu = [[NSMenu alloc] initWithTitle:@"Settings"];
+
+    // Submenu items
+    NSMenuItem *chooseModelDirectoryItem = [[NSMenuItem alloc] initWithTitle:@"Choose model directory..." action:@selector(chooseModelDirectory) keyEquivalent:@""];
+    [chooseModelDirectoryItem setTarget:self];
+    [chooseModelDirectoryItem setEnabled:YES];
+    [settingsMenu addItem:chooseModelDirectoryItem];
+
+    NSMenuItem *exposeExternallyItem = [[NSMenuItem alloc] initWithTitle:@"Allow external connections" action:@selector(toggleExposeExternally:) keyEquivalent:@""];
+    [exposeExternallyItem setTarget:self];
+    [exposeExternallyItem setState:NSOffState]; // Set initial state to off
+    [exposeExternallyItem setEnabled:YES];
+    [settingsMenu addItem:exposeExternallyItem];
+
+    NSMenuItem *allowCrossOriginItem = [[NSMenuItem alloc] initWithTitle:@"Allow browser requests" action:@selector(toggleCrossOrigin:) keyEquivalent:@""];
+    [allowCrossOriginItem setTarget:self];
+    [allowCrossOriginItem setState:NSOffState]; // Set initial state to off
+    [allowCrossOriginItem setEnabled:YES];
+    [settingsMenu addItem:allowCrossOriginItem];
+
+    NSMenuItem *settingsMenuItem = [[NSMenuItem alloc] initWithTitle:@"Settings" action:nil keyEquivalent:@""];
+    [settingsMenuItem setSubmenu:settingsMenu];
+    [menu addItem:settingsMenuItem];
+
+    [menu addItemWithTitle:@"Quit Ollama" action:@selector(quit) keyEquivalent:@"q"];
+
+    self.statusItem = [[NSStatusBar systemStatusBar] statusItemWithLength:NSVariableStatusItemLength];
+    [self.statusItem addObserver:self forKeyPath:@"button.effectiveAppearance" options:NSKeyValueObservingOptionNew|NSKeyValueObservingOptionInitial context:nil];
+
+    self.statusItem.menu = menu;
+    [self showIcon];
+}
+
+- (void)aboutOllama {
+    [[NSApplication sharedApplication] orderFrontStandardAboutPanel:nil];
+}
+
+- (void)toggleCrossOrigin:(id)sender {
+    NSMenuItem *item = (NSMenuItem *)sender;
+    if ([item state] == NSOffState) {
+        // Do something when cross-origin requests are allowed
+        [item setState:NSOnState];
+    } else {
+        // Do something when cross-origin requests are disallowed
+        [item setState:NSOffState];
+    }
+}
+
+- (void)toggleExposeExternally:(id)sender {
+    NSMenuItem *item = (NSMenuItem *)sender;
+    if ([item state] == NSOffState) {
+        // Do something when Ollama is exposed externally
+        [item setState:NSOnState];
+    } else {
+        // Do something when Ollama is not exposed externally
+        [item setState:NSOffState];
+    }
+}
+
+- (void)chooseModelDirectory {
+    NSOpenPanel *openPanel = [NSOpenPanel openPanel];
+    [openPanel setCanChooseFiles:NO];
+    [openPanel setCanChooseDirectories:YES];
+    [openPanel setAllowsMultipleSelection:NO];
+
+    NSInteger result = [openPanel runModal];
+    if (result == NSModalResponseOK) {
+        NSURL *selectedDirectoryURL = [openPanel URLs].firstObject;
+        // Do something with the selected directory URL
+    }
+}
+
+-(void) showIcon {
+    NSAppearance* appearance = self.statusItem.button.effectiveAppearance;
+    NSString* appearanceName = (NSString*)(appearance.name);
+    NSString* iconName = [[appearanceName lowercaseString] containsString:@"dark"] ? @"iconDark" : @"icon";
+    NSImage* statusImage = [NSImage imageNamed:iconName];
+    [statusImage setTemplate:YES];
+    self.statusItem.button.image = statusImage;
+}
+
+-(void)observeValueForKeyPath:(NSString *)keyPath ofObject:(id)object change:(NSDictionary<NSKeyValueChangeKey,id> *)change context:(void *)context {
+    [self showIcon];
+}
+
+- (void)quit {
+    [NSApp stop:nil];
+}
+
+@end
+
+void run() {
+    @autoreleasepool {
+        [NSApplication sharedApplication];
+        AppDelegate *appDelegate = [[AppDelegate alloc] init];
+        [NSApp setDelegate:appDelegate];
+        [NSApp run];
+    }
+}
+
+// killOtherInstances kills all other instances of the app currently
+// running. This way we can ensure that only the most recently started
+// instance of Ollama is running
+void killOtherInstances() {
+    pid_t pid = getpid();
+    NSArray *all = [[NSWorkspace sharedWorkspace] runningApplications];
+    NSMutableArray *apps = [NSMutableArray array];
+
+    for (NSRunningApplication *app in all) {
+        if ([app.bundleIdentifier isEqualToString:[[NSBundle mainBundle] bundleIdentifier]] ||
+            [app.bundleIdentifier isEqualToString:@"ai.ollama.ollama"] ||
+            [app.bundleIdentifier isEqualToString:@"com.electron.ollama"]) {
+            if (app.processIdentifier != pid) {
+                [apps addObject:app];
+            }
+        }
+    }
+
+    for (NSRunningApplication *app in apps) {
+        kill(app.processIdentifier, SIGTERM);
+    }
+
+    NSDate *startTime = [NSDate date];
+    for (NSRunningApplication *app in apps) {
+        while (!app.terminated) {
+            if (-[startTime timeIntervalSinceNow] >= 5) {
+                kill(app.processIdentifier, SIGKILL);
+                break;
+            }
+
+            [[NSRunLoop currentRunLoop] runUntilDate:[NSDate dateWithTimeIntervalSinceNow:0.1]];
+        }
+    }
+}
+
+bool askToMoveToApplications() {
+    NSString *bundlePath = [[NSBundle mainBundle] bundlePath];
+    if ([bundlePath hasPrefix:@"/Applications"]) {
+        return false;
+    }
+
+    NSAlert *alert = [[NSAlert alloc] init];
+    [alert setMessageText:@"Move to Applications?"];
+    [alert setInformativeText:@"Ollama works best when run from the Applications directory."];
+    [alert addButtonWithTitle:@"Move to Applications"];
+    [alert addButtonWithTitle:@"Don't move"];
+
+    [NSApp activateIgnoringOtherApps:YES];
+
+    if ([alert runModal] != NSAlertFirstButtonReturn) {
+        return false;
+    }
+
+    // move to applications
+    NSString *applicationsPath = @"/Applications";
+    NSString *newPath = [applicationsPath stringByAppendingPathComponent:@"Ollama.app"];
+    NSFileManager *fileManager = [NSFileManager defaultManager];
+
+    // Check if the newPath already exists
+    if ([fileManager fileExistsAtPath:newPath]) {
+        NSError *removeError = nil;
+        [fileManager removeItemAtPath:newPath error:&removeError];
+        if (removeError) {
+            NSLog(@"Error removing file at %@: %@", newPath, removeError);
+            return false; // or handle the error
+        }
+    }
+
+    NSError *moveError = nil;
+    [fileManager moveItemAtPath:bundlePath toPath:newPath error:&moveError];
+    if (moveError) {
+        NSLog(@"Error moving file from %@ to %@: %@", bundlePath, newPath, moveError);
+        return false;
+    }
+
+    NSLog(@"Opening %@", newPath);
+    NSError *error = nil;
+    NSWorkspace *workspace = [NSWorkspace sharedWorkspace];
+#pragma clang diagnostic ignored "-Wdeprecated-declarations"
+    [workspace launchApplicationAtURL:[NSURL fileURLWithPath:newPath]
+               options:NSWorkspaceLaunchNewInstance | NSWorkspaceLaunchDefault
+               configuration:@{}
+               error:&error];
+
+    return true;
+}
+
+int installSymlink() {
+    NSString *linkPath = @"/usr/local/bin/ollama";
+    NSError *error = nil;
+
+    NSFileManager *fileManager = [NSFileManager defaultManager];
+    NSString *symlinkPath = [fileManager destinationOfSymbolicLinkAtPath:linkPath error:&error];
+    NSString *bundlePath = [[NSBundle mainBundle] bundlePath];
+    NSString *execPath = [[NSBundle mainBundle] executablePath];
+    NSString *resPath = [[NSBundle mainBundle] pathForResource:@"ollama" ofType:nil];
+
+    // if the symlink already exists and points to the right place, don't prompt
+    if ([symlinkPath isEqualToString:resPath]) {
+        NSLog(@"symbolic link already exists and points to the right place");
+        return 0;
+    }
+
+    NSString *authorizationPrompt = @"Ollama is trying to install its command line interface (CLI) tool.";
+
+    AuthorizationRef auth = NULL;
+    OSStatus createStatus = AuthorizationCreate(NULL, kAuthorizationEmptyEnvironment, kAuthorizationFlagDefaults, &auth);
+    if (createStatus != errAuthorizationSuccess) {
+        NSLog(@"Error creating authorization");
+        return -1;
+    }
+
+    NSString * bundleIdentifier = [[NSBundle mainBundle] bundleIdentifier];
+    NSString *rightNameString = [NSString stringWithFormat:@"%@.%@", bundleIdentifier, @"auth3"];
+    const char *rightName = rightNameString.UTF8String;
+
+    OSStatus getRightResult = AuthorizationRightGet(rightName, NULL);
+    if (getRightResult == errAuthorizationDenied) {
+        if (AuthorizationRightSet(auth, rightName, (__bridge CFTypeRef _Nonnull)(@(kAuthorizationRuleAuthenticateAsAdmin)), (__bridge CFStringRef _Nullable)(authorizationPrompt), NULL, NULL) != errAuthorizationSuccess) {
+            NSLog(@"Failed to set right");
+            return -1;
+        }
+    }
+
+    AuthorizationItem right = { .name = rightName, .valueLength = 0, .value = NULL, .flags = 0 };
+    AuthorizationRights rights = { .count = 1, .items = &right };
+    AuthorizationFlags flags = (AuthorizationFlags)(kAuthorizationFlagExtendRights | kAuthorizationFlagInteractionAllowed);
+    AuthorizationItem iconAuthorizationItem = {.name = kAuthorizationEnvironmentIcon, .valueLength = 0, .value = NULL, .flags = 0};
+    AuthorizationEnvironment authorizationEnvironment = {.count = 0, .items = NULL};
+
+    BOOL failedToUseSystemDomain = NO;
+    OSStatus copyStatus = AuthorizationCopyRights(auth, &rights, &authorizationEnvironment, flags, NULL);
+    if (copyStatus != errAuthorizationSuccess) {
+        failedToUseSystemDomain = YES;
+
+        if (copyStatus == errAuthorizationCanceled) {
+            NSLog(@"User cancelled authorization");
+            return -1;
+        } else {
+            NSLog(@"Failed copying system domain rights: %d", copyStatus);
+            return -1;
+        }
+    }
+
+    const char *toolPath = "/bin/ln";
+    const char *args[] = {"-s", "-F", [resPath UTF8String], "/usr/local/bin/ollama", NULL};
+    FILE *pipe = NULL;
+
+#pragma clang diagnostic ignored "-Wdeprecated-declarations"
+    OSStatus status = AuthorizationExecuteWithPrivileges(auth, toolPath, kAuthorizationFlagDefaults, (char *const *)args, &pipe);
+    if (status != errAuthorizationSuccess) {
+        NSLog(@"Failed to create symlink");
+        return -1;
+    }
+
+    AuthorizationFree(auth, kAuthorizationFlagDestroyRights);
+    return 0;
+}

app/app_windows.go

@@ -0,0 +1,166 @@
+package main
+
+import (
+	"context"
+	"errors"
+	"fmt"
+	"log"
+	"log/slog"
+	"os"
+	"os/exec"
+	"os/signal"
+	"path/filepath"
+	"strings"
+	"syscall"
+
+	"github.com/ollama/ollama/app/lifecycle"
+	"github.com/ollama/ollama/app/store"
+	"github.com/ollama/ollama/app/tray"
+	"github.com/ollama/ollama/app/updater"
+)
+
+func init() {
+	AppName += ".exe"
+	CLIName += ".exe"
+	// Logs, configs, downloads go to LOCALAPPDATA
+	localAppData := os.Getenv("LOCALAPPDATA")
+	AppDataDir = filepath.Join(localAppData, "Ollama")
+	AppLogFile = filepath.Join(AppDataDir, "app.log")
+	ServerLogFile = filepath.Join(AppDataDir, "server.log")
+
+	// Executables are stored in APPDATA
+	AppDir = filepath.Join(localAppData, "Programs", "Ollama")
+
+	// Make sure we have PATH set correctly for any spawned children
+	paths := strings.Split(os.Getenv("PATH"), ";")
+	// Start with whatever we find in the PATH/LD_LIBRARY_PATH
+	found := false
+	for _, path := range paths {
+		d, err := filepath.Abs(path)
+		if err != nil {
+			continue
+		}
+		if strings.EqualFold(AppDir, d) {
+			found = true
+		}
+	}
+	if !found {
+		paths = append(paths, AppDir)
+
+		pathVal := strings.Join(paths, ";")
+		slog.Debug("setting PATH=" + pathVal)
+		err := os.Setenv("PATH", pathVal)
+		if err != nil {
+			slog.Error(fmt.Sprintf("failed to update PATH: %s", err))
+		}
+	}
+
+	// Make sure our logging dir exists
+	_, err := os.Stat(AppDataDir)
+	if errors.Is(err, os.ErrNotExist) {
+		if err := os.MkdirAll(AppDataDir, 0o755); err != nil {
+			slog.Error(fmt.Sprintf("create ollama dir %s: %v", AppDataDir, err))
+		}
+	}
+}
+
+func ShowLogs() {
+	cmd_path := "c:\\Windows\\system32\\cmd.exe"
+	slog.Debug(fmt.Sprintf("viewing logs with start %s", AppDataDir))
+	cmd := exec.Command(cmd_path, "/c", "start", AppDataDir)
+	cmd.SysProcAttr = &syscall.SysProcAttr{HideWindow: false, CreationFlags: 0x08000000}
+	err := cmd.Start()
+	if err != nil {
+		slog.Error(fmt.Sprintf("Failed to open log dir: %s", err))
+	}
+}
+
+func Start() {
+	cmd_path := "c:\\Windows\\system32\\cmd.exe"
+	slog.Debug(fmt.Sprintf("viewing logs with start %s", AppDataDir))
+	cmd := exec.Command(cmd_path, "/c", "start", AppDataDir)
+	cmd.SysProcAttr = &syscall.SysProcAttr{HideWindow: false, CreationFlags: 0x08000000}
+	err := cmd.Start()
+	if err != nil {
+		slog.Error(fmt.Sprintf("Failed to open log dir: %s", err))
+	}
+}
+
+func run() {
+	initLogging()
+
+	slog.Info("ollama windows app started")
+
+	ctx, cancel := context.WithCancel(context.Background())
+	var done chan int
+
+	t, err := tray.NewTray()
+	if err != nil {
+		log.Fatalf("Failed to start: %s", err)
+	}
+	callbacks := t.GetCallbacks()
+
+	signals := make(chan os.Signal, 1)
+	signal.Notify(signals, syscall.SIGINT, syscall.SIGTERM)
+
+	go func() {
+		slog.Debug("starting callback loop")
+		for {
+			select {
+			case <-callbacks.Quit:
+				slog.Debug("quit called")
+				t.Quit()
+			case <-signals:
+				slog.Debug("shutting down due to signal")
+				t.Quit()
+			case <-callbacks.Update:
+				err := updater.DoUpgrade(cancel, done)
+				if err != nil {
+					slog.Warn(fmt.Sprintf("upgrade attempt failed: %s", err))
+				}
+			case <-callbacks.ShowLogs:
+				ShowLogs()
+			case <-callbacks.DoFirstUse:
+				err := lifecycle.GetStarted()
+				if err != nil {
+					slog.Warn(fmt.Sprintf("Failed to launch getting started shell: %s", err))
+				}
+			}
+		}
+	}()
+
+	if !store.GetFirstTimeRun() {
+		slog.Debug("First time run")
+		err = t.DisplayFirstUseNotification()
+		if err != nil {
+			slog.Debug(fmt.Sprintf("XXX failed to display first use notification %v", err))
+		}
+		store.SetFirstTimeRun(true)
+	} else {
+		slog.Debug("Not first time, skipping first run notification")
+	}
+
+	if isServerRunning(ctx) {
+		slog.Info("Detected another instance of ollama running, exiting")
+		os.Exit(1)
+	}
+
+	done, err = SpawnServer(ctx, CLIName)
+	if err != nil {
+		// TODO - should we retry in a backoff loop?
+		// TODO - should we pop up a warning and maybe add a menu item to view application logs?
+		slog.Error(fmt.Sprintf("Failed to spawn ollama server %s", err))
+		done = make(chan int, 1)
+		done <- 1
+	}
+
+	updater.StartBackgroundUpdaterChecker(ctx, t.UpdateAvailable)
+
+	t.Run()
+	cancel()
+	slog.Info("Waiting for ollama server to shutdown...")
+	if done != nil {
+		<-done
+	}
+	slog.Info("Ollama app exiting")
+}

app/darwin/Ollama.app/Contents/Info.plist

@@ -0,0 +1,40 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+  <dict>
+    <key>CFBundleDisplayName</key>
+    <string>Ollama</string>
+    <key>CFBundleExecutable</key>
+    <string>Ollama</string>
+    <key>CFBundleIconFile</key>
+    <string>icon.icns</string>
+    <key>CFBundleIdentifier</key>
+    <string>com.ollama.ollama</string>
+    <key>CFBundleInfoDictionaryVersion</key>
+    <string>6.0</string>
+    <key>CFBundleName</key>
+    <string>Ollama</string>
+    <key>CFBundlePackageType</key>
+    <string>APPL</string>
+    <key>CFBundleShortVersionString</key>
+    <string>0.0.0</string>
+    <key>CFBundleVersion</key>
+    <string>0.0.0</string>
+    <key>DTCompiler</key>
+    <string>com.apple.compilers.llvm.clang.1_0</string>
+    <key>DTSDKBuild</key>
+    <string>22E245</string>
+    <key>DTSDKName</key>
+    <string>macosx13.3</string>
+    <key>DTXcode</key>
+    <string>1431</string>
+    <key>DTXcodeBuild</key>
+    <string>14E300c</string>
+    <key>LSApplicationCategoryType</key>
+    <string>public.app-category.developer-tools</string>
+    <key>LSMinimumSystemVersion</key>
+    <string>11.0</string>
+    <key>LSUIElement</key>
+    <true/>
+  </dict>
+</plist>

app/lifecycle/getstarted_darwin.go

@@ -1,5 +1,3 @@
-//go:build !windows
-
 package lifecycle
 
 import "fmt"

app/lifecycle/lifecycle.go

@@ -1,92 +0,0 @@
-package lifecycle
-
-import (
-	"context"
-	"fmt"
-	"log"
-	"log/slog"
-	"os"
-	"os/signal"
-	"syscall"
-
-	"github.com/ollama/ollama/app/store"
-	"github.com/ollama/ollama/app/tray"
-)
-
-func Run() {
-	InitLogging()
-
-	ctx, cancel := context.WithCancel(context.Background())
-	var done chan int
-
-	t, err := tray.NewTray()
-	if err != nil {
-		log.Fatalf("Failed to start: %s", err)
-	}
-	callbacks := t.GetCallbacks()
-
-	signals := make(chan os.Signal, 1)
-	signal.Notify(signals, syscall.SIGINT, syscall.SIGTERM)
-
-	go func() {
-		slog.Debug("starting callback loop")
-		for {
-			select {
-			case <-callbacks.Quit:
-				slog.Debug("quit called")
-				t.Quit()
-			case <-signals:
-				slog.Debug("shutting down due to signal")
-				t.Quit()
-			case <-callbacks.Update:
-				err := DoUpgrade(cancel, done)
-				if err != nil {
-					slog.Warn(fmt.Sprintf("upgrade attempt failed: %s", err))
-				}
-			case <-callbacks.ShowLogs:
-				ShowLogs()
-			case <-callbacks.DoFirstUse:
-				err := GetStarted()
-				if err != nil {
-					slog.Warn(fmt.Sprintf("Failed to launch getting started shell: %s", err))
-				}
-			}
-		}
-	}()
-
-	// Are we first use?
-	if !store.GetFirstTimeRun() {
-		slog.Debug("First time run")
-		err = t.DisplayFirstUseNotification()
-		if err != nil {
-			slog.Debug(fmt.Sprintf("XXX failed to display first use notification %v", err))
-		}
-		store.SetFirstTimeRun(true)
-	} else {
-		slog.Debug("Not first time, skipping first run notification")
-	}
-
-	if IsServerRunning(ctx) {
-		slog.Info("Detected another instance of ollama running, exiting")
-		os.Exit(1)
-	} else {
-		done, err = SpawnServer(ctx, CLIName)
-		if err != nil {
-			// TODO - should we retry in a backoff loop?
-			// TODO - should we pop up a warning and maybe add a menu item to view application logs?
-			slog.Error(fmt.Sprintf("Failed to spawn ollama server %s", err))
-			done = make(chan int, 1)
-			done <- 1
-		}
-	}
-
-	StartBackgroundUpdaterChecker(ctx, t.UpdateAvailable)
-
-	t.Run()
-	cancel()
-	slog.Info("Waiting for ollama server to shutdown...")
-	if done != nil {
-		<-done
-	}
-	slog.Info("Ollama app exiting")
-}

app/lifecycle/logging_nonwindows.go

@@ -1,9 +0,0 @@
-//go:build !windows
-
-package lifecycle
-
-import "log/slog"
-
-func ShowLogs() {
-	slog.Warn("ShowLogs not yet implemented")
-}

app/lifecycle/logging_windows.go

@@ -1,19 +0,0 @@
-package lifecycle
-
-import (
-	"fmt"
-	"log/slog"
-	"os/exec"
-	"syscall"
-)
-
-func ShowLogs() {
-	cmd_path := "c:\\Windows\\system32\\cmd.exe"
-	slog.Debug(fmt.Sprintf("viewing logs with start %s", AppDataDir))
-	cmd := exec.Command(cmd_path, "/c", "start", AppDataDir)
-	cmd.SysProcAttr = &syscall.SysProcAttr{HideWindow: false, CreationFlags: 0x08000000}
-	err := cmd.Start()
-	if err != nil {
-		slog.Error(fmt.Sprintf("Failed to open log dir: %s", err))
-	}
-}

app/lifecycle/paths.go

@@ -70,10 +70,5 @@ func init() {
 			}
 		}
 
-	} else if runtime.GOOS == "darwin" {
-		// TODO
-		AppName += ".app"
-		// } else if runtime.GOOS == "linux" {
-		// TODO
 	}
 }

app/log.go

@@ -1,18 +1,16 @@
-package lifecycle
+package main
 
 import (
 	"fmt"
 	"log/slog"
 	"os"
 	"path/filepath"
-
-	"github.com/ollama/ollama/server/envconfig"
 )
 
-func InitLogging() {
+func initLogging() {
 	level := slog.LevelInfo
 
-	if envconfig.Debug {
+	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
 		level = slog.LevelDebug
 	}
 
@@ -43,6 +41,4 @@ func InitLogging() {
 	})
 
 	slog.SetDefault(slog.New(handler))
-
-	slog.Info("ollama app started")
 }

app/main.go

@@ -2,11 +2,15 @@ package main
 
 // Compile with the following to get rid of the cmd pop up on windows
 // go build -ldflags="-H windowsgui" .
-
-import (
-	"github.com/ollama/ollama/app/lifecycle"
+var (
+	AppName       string
+	CLIName       string
+	AppDir        string
+	AppDataDir    string
+	AppLogFile    string
+	ServerLogFile string
 )
 
 func main() {
-	lifecycle.Run()
+	run()
 }

app/server.go

@@ -1,4 +1,4 @@
-package lifecycle
+package main
 
 import (
 	"context"
@@ -14,37 +14,28 @@ import (
 	"github.com/ollama/ollama/api"
 )
 
-func getCLIFullPath(command string) string {
-	cmdPath := ""
-	appExe, err := os.Executable()
-	if err == nil {
-		cmdPath = filepath.Join(filepath.Dir(appExe), command)
-		_, err := os.Stat(cmdPath)
-		if err == nil {
-			return cmdPath
-		}
-	}
-	cmdPath, err = exec.LookPath(command)
-	if err == nil {
-		_, err := os.Stat(cmdPath)
-		if err == nil {
-			return cmdPath
-		}
-	}
-	pwd, err := os.Getwd()
-	if err == nil {
-		cmdPath = filepath.Join(pwd, command)
-		_, err = os.Stat(cmdPath)
-		if err == nil {
-			return cmdPath
-		}
-	}
-
-	return command
+type ServerOptions struct {
+	Cors       bool
+	Expose     bool
+	ModelsPath string
 }
 
-func start(ctx context.Context, command string) (*exec.Cmd, error) {
-	cmd := getCmd(ctx, getCLIFullPath(command))
+func start(ctx context.Context, command string, options ServerOptions) (*exec.Cmd, error) {
+	cmd := getCmd(ctx, command)
+
+	// set environment variables
+	if options.ModelsPath != "" {
+		cmd.Env = append(cmd.Env, fmt.Sprintf("OLLAMA_MODELS=%s", options.ModelsPath))
+	}
+
+	if options.Cors {
+		cmd.Env = append(cmd.Env, "OLLAMA_ORIGINS=*")
+	}
+
+	if options.Expose {
+		cmd.Env = append(cmd.Env, "OLLAMA_HOST=0.0.0.0")
+	}
+
 	stdout, err := cmd.StdoutPipe()
 	if err != nil {
 		return nil, fmt.Errorf("failed to spawn server stdout pipe: %w", err)
@@ -59,20 +50,6 @@ func start(ctx context.Context, command string) (*exec.Cmd, error) {
 	if err != nil {
 		return nil, 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
@@ -126,20 +103,25 @@ func start(ctx context.Context, command string) (*exec.Cmd, error) {
 	return cmd, nil
 }
 
-func SpawnServer(ctx context.Context, command string) (chan int, error) {
+func SpawnServer(ctx context.Context, command string, options ServerOptions) (chan int, error) {
+	logDir := filepath.Dir(ServerLogFile)
+	_, err := os.Stat(logDir)
+	if errors.Is(err, os.ErrNotExist) {
+		if err := os.MkdirAll(logDir, 0o755); err != nil {
+			return nil, fmt.Errorf("create ollama server log dir %s: %v", logDir, err)
+		}
+	}
+
 	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)
+			slog.Info(fmt.Sprintf("starting server..."))
+			cmd, err := start(ctx, command, options)
 			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
@@ -165,7 +147,7 @@ func SpawnServer(ctx context.Context, command string) (chan int, error) {
 	return done, nil
 }
 
-func IsServerRunning(ctx context.Context) bool {
+func isServerRunning(ctx context.Context) bool {
 	client, err := api.ClientFromEnvironment()
 	if err != nil {
 		slog.Info("unable to connect to server")

app/server_darwin.go

@@ -1,6 +1,4 @@
-//go:build !windows
-
-package lifecycle
+package main
 
 import (
 	"context"

app/server_windows.go

@@ -1,4 +1,4 @@
-package lifecycle
+package main
 
 import (
 	"context"

app/tray/tray_darwin.go

@@ -1,5 +1,3 @@
-//go:build !windows
-
 package tray
 
 import (

app/tray/wintray/menus.go

@@ -1,71 +1,71 @@
-//go:build windows
-
-package wintray
-
-import (
-	"fmt"
-	"log/slog"
-	"unsafe"
-
-	"golang.org/x/sys/windows"
-)
-
-const (
-	updatAvailableMenuID = 1
-	updateMenuID         = updatAvailableMenuID + 1
-	separatorMenuID      = updateMenuID + 1
-	diagLogsMenuID       = separatorMenuID + 1
-	diagSeparatorMenuID  = diagLogsMenuID + 1
-	quitMenuID           = diagSeparatorMenuID + 1
-)
-
-func (t *winTray) initMenus() error {
-	if err := t.addOrUpdateMenuItem(diagLogsMenuID, 0, diagLogsMenuTitle, false); err != nil {
-		return fmt.Errorf("unable to create menu entries %w\n", err)
-	}
-	if err := t.addSeparatorMenuItem(diagSeparatorMenuID, 0); err != nil {
-		return fmt.Errorf("unable to create menu entries %w", err)
-	}
-	if err := t.addOrUpdateMenuItem(quitMenuID, 0, quitMenuTitle, false); err != nil {
-		return fmt.Errorf("unable to create menu entries %w\n", err)
-	}
-	return nil
-}
-
-func (t *winTray) UpdateAvailable(ver string) error {
-	if !t.updateNotified {
-		slog.Debug("updating menu and sending notification for new update")
-		if err := t.addOrUpdateMenuItem(updatAvailableMenuID, 0, updateAvailableMenuTitle, true); err != nil {
-			return fmt.Errorf("unable to create menu entries %w", err)
-		}
-		if err := t.addOrUpdateMenuItem(updateMenuID, 0, updateMenutTitle, false); err != nil {
-			return fmt.Errorf("unable to create menu entries %w", err)
-		}
-		if err := t.addSeparatorMenuItem(separatorMenuID, 0); err != nil {
-			return fmt.Errorf("unable to create menu entries %w", err)
-		}
-		iconFilePath, err := iconBytesToFilePath(wt.updateIcon)
-		if err != nil {
-			return fmt.Errorf("unable to write icon data to temp file: %w", err)
-		}
-		if err := wt.setIcon(iconFilePath); err != nil {
-			return fmt.Errorf("unable to set icon: %w", err)
-		}
-		t.updateNotified = true
-
-		t.pendingUpdate = true
-		// Now pop up the notification
-		t.muNID.Lock()
-		defer t.muNID.Unlock()
-		copy(t.nid.InfoTitle[:], windows.StringToUTF16(updateTitle))
-		copy(t.nid.Info[:], windows.StringToUTF16(fmt.Sprintf(updateMessage, ver)))
-		t.nid.Flags |= NIF_INFO
-		t.nid.Timeout = 10
-		t.nid.Size = uint32(unsafe.Sizeof(*wt.nid))
-		err = t.nid.modify()
-		if err != nil {
-			return err
-		}
-	}
-	return nil
-}
+//go:build windows
+
+package wintray
+
+import (
+	"fmt"
+	"log/slog"
+	"unsafe"
+
+	"golang.org/x/sys/windows"
+)
+
+const (
+	updatAvailableMenuID = 1
+	updateMenuID         = updatAvailableMenuID + 1
+	separatorMenuID      = updateMenuID + 1
+	diagLogsMenuID       = separatorMenuID + 1
+	diagSeparatorMenuID  = diagLogsMenuID + 1
+	quitMenuID           = diagSeparatorMenuID + 1
+)
+
+func (t *winTray) initMenus() error {
+	if err := t.addOrUpdateMenuItem(diagLogsMenuID, 0, diagLogsMenuTitle, false); err != nil {
+		return fmt.Errorf("unable to create menu entries %w\n", err)
+	}
+	if err := t.addSeparatorMenuItem(diagSeparatorMenuID, 0); err != nil {
+		return fmt.Errorf("unable to create menu entries %w", err)
+	}
+	if err := t.addOrUpdateMenuItem(quitMenuID, 0, quitMenuTitle, false); err != nil {
+		return fmt.Errorf("unable to create menu entries %w\n", err)
+	}
+	return nil
+}
+
+func (t *winTray) UpdateAvailable(ver string) error {
+	if !t.updateNotified {
+		slog.Debug("updating menu and sending notification for new update")
+		if err := t.addOrUpdateMenuItem(updatAvailableMenuID, 0, updateAvailableMenuTitle, true); err != nil {
+			return fmt.Errorf("unable to create menu entries %w", err)
+		}
+		if err := t.addOrUpdateMenuItem(updateMenuID, 0, updateMenutTitle, false); err != nil {
+			return fmt.Errorf("unable to create menu entries %w", err)
+		}
+		if err := t.addSeparatorMenuItem(separatorMenuID, 0); err != nil {
+			return fmt.Errorf("unable to create menu entries %w", err)
+		}
+		iconFilePath, err := iconBytesToFilePath(wt.updateIcon)
+		if err != nil {
+			return fmt.Errorf("unable to write icon data to temp file: %w", err)
+		}
+		if err := wt.setIcon(iconFilePath); err != nil {
+			return fmt.Errorf("unable to set icon: %w", err)
+		}
+		t.updateNotified = true
+
+		t.pendingUpdate = true
+		// Now pop up the notification
+		t.muNID.Lock()
+		defer t.muNID.Unlock()
+		copy(t.nid.InfoTitle[:], windows.StringToUTF16(updateTitle))
+		copy(t.nid.Info[:], windows.StringToUTF16(fmt.Sprintf(updateMessage, ver)))
+		t.nid.Flags |= NIF_INFO
+		t.nid.Timeout = 10
+		t.nid.Size = uint32(unsafe.Sizeof(*wt.nid))
+		err = t.nid.modify()
+		if err != nil {
+			return err
+		}
+	}
+	return nil
+}

app/updater/updater.go

@@ -1,4 +1,4 @@
-package lifecycle
+package updater
 
 import (
 	"context"
@@ -22,6 +22,10 @@ import (
 	"github.com/ollama/ollama/version"
 )
 
+var (
+	UpdateStageDir string
+)
+
 var (
 	UpdateCheckURLBase  = "https://ollama.com/api/update"
 	UpdateDownloaded    = false
@@ -123,7 +127,7 @@ func DownloadNewRelease(ctx context.Context, updateResp UpdateResponse) error {
 		slog.Debug("no etag detected, falling back to filename based dedup")
 		etag = "_"
 	}
-	filename := Installer
+	filename := "OllamaSetup.exe"
 	_, params, err := mime.ParseMediaType(resp.Header.Get("content-disposition"))
 	if err == nil {
 		filename = params["filename"]

app/updater/updater_darwin.go

@@ -1,6 +1,4 @@
-//go:build !windows
-
-package lifecycle
+package updater
 
 import (
 	"context"

app/updater/updater_windows.go

@@ -1,4 +1,4 @@
-package lifecycle
+package updater
 
 import (
 	"context"
@@ -9,7 +9,13 @@ import (
 	"path/filepath"
 )
 
+func init() {
+	UpdateStageDir = filepath.Join(os.Getenv("LOCALAPPDATA"), "Ollama", "updates")
+}
+
 func DoUpgrade(cancel context.CancelFunc, done chan int) error {
+	logFile := filepath.Join(os.Getenv("LOCALAPPDATA"), "Ollama", "upgrade.log")
+
 	files, err := filepath.Glob(filepath.Join(UpdateStageDir, "*", "*.exe")) // TODO generalize for multiplatform
 	if err != nil {
 		return fmt.Errorf("failed to lookup downloads: %s", err)
@@ -23,21 +29,24 @@ func DoUpgrade(cancel context.CancelFunc, done chan int) error {
 	installerExe := files[0]
 
 	slog.Info("starting upgrade with " + installerExe)
-	slog.Info("upgrade log file " + UpgradeLogFile)
+	slog.Info("upgrade log file " + logFile)
 
 	// When running in debug mode, we'll be "verbose" and let the installer pop up and prompt
 	installArgs := []string{
-		"/CLOSEAPPLICATIONS",                    // Quit the tray app if it's still running
-		"/LOG=" + filepath.Base(UpgradeLogFile), // Only relative seems reliable, so set pwd
-		"/FORCECLOSEAPPLICATIONS",               // Force close the tray app - might be needed
+		"/CLOSEAPPLICATIONS",             // Quit the tray app if it's still running
+		"/LOG=" + filepath.Base(logFile), // Only relative seems reliable, so set pwd
+		"/FORCECLOSEAPPLICATIONS",        // Force close the tray app - might be needed
 	}
-	// make the upgrade as quiet as possible (no GUI, no prompts)
+	// When we're not in debug mode, make the upgrade as quiet as possible (no GUI, no prompts)
+	// TODO - temporarily disable since we're pinning in debug mode for the preview
+	// if debug := os.Getenv("OLLAMA_DEBUG"); debug == "" {
 	installArgs = append(installArgs,
 		"/SP", // Skip the "This will install... Do you wish to continue" prompt
 		"/SUPPRESSMSGBOXES",
 		"/SILENT",
 		"/VERYSILENT",
 	)
+	// }
 
 	// Safeguard in case we have requests in flight that need to drain...
 	slog.Info("Waiting for server to shutdown")
@@ -50,7 +59,7 @@ func DoUpgrade(cancel context.CancelFunc, done chan int) error {
 	}
 
 	slog.Debug(fmt.Sprintf("starting installer: %s %v", installerExe, installArgs))
-	os.Chdir(filepath.Dir(UpgradeLogFile)) //nolint:errcheck
+	os.Chdir(filepath.Dir(logFile)) //nolint:errcheck
 	cmd := exec.Command(installerExe, installArgs...)
 
 	if err := cmd.Start(); err != nil {

app/windows/ollama.iss

@@ -88,8 +88,8 @@ 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")

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))

cmd/cmd.go

@@ -32,12 +32,10 @@ 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"
 )
 
@@ -56,13 +54,12 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 	p := progress.NewProgress(os.Stderr)
 	defer p.Stop()
 
-	f, err := os.Open(filename)
+	modelfile, err := os.ReadFile(filename)
 	if err != nil {
 		return err
 	}
-	defer f.Close()
 
-	modelfile, err := model.ParseFile(f)
+	commands, err := parser.Parse(bytes.NewReader(modelfile))
 	if err != nil {
 		return err
 	}
@@ -76,10 +73,10 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 	spinner := progress.NewSpinner(status)
 	p.Add(status, spinner)
 
-	for i := range modelfile.Commands {
-		switch modelfile.Commands[i].Name {
+	for _, c := range commands {
+		switch c.Name {
 		case "model", "adapter":
-			path := modelfile.Commands[i].Args
+			path := c.Args
 			if path == "~" {
 				path = home
 			} else if strings.HasPrefix(path, "~/") {
@@ -91,7 +88,7 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 			}
 
 			fi, err := os.Stat(path)
-			if errors.Is(err, os.ErrNotExist) && modelfile.Commands[i].Name == "model" {
+			if errors.Is(err, os.ErrNotExist) && c.Name == "model" {
 				continue
 			} else if err != nil {
 				return err
@@ -114,7 +111,13 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 				return err
 			}
 
-			modelfile.Commands[i].Args = "@" + digest
+			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))
 		}
 	}
 
@@ -144,7 +147,7 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 
 	quantization, _ := cmd.Flags().GetString("quantization")
 
-	request := api.CreateRequest{Name: args[0], Modelfile: modelfile.String(), Quantization: quantization}
+	request := api.CreateRequest{Name: args[0], Modelfile: string(modelfile), Quantization: quantization}
 	if err := client.Create(cmd.Context(), &request, fn); err != nil {
 		return err
 	}
@@ -354,47 +357,6 @@ 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 {
@@ -442,20 +404,6 @@ 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
 	}
 
@@ -883,27 +831,24 @@ 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
 	}
 
-	err = server.Serve(ln)
-	if errors.Is(err, http.ErrServerClosed) {
-		return nil
-	}
-
-	return err
+	return server.Serve(ln)
 }
 
 func initializeKeypair() error {
@@ -1124,7 +1069,7 @@ 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,

cmd/interactive.go

@@ -94,7 +94,6 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 		fmt.Fprintln(os.Stderr, "  /show           Show model information")
 		fmt.Fprintln(os.Stderr, "  /load <model>   Load a session or model")
 		fmt.Fprintln(os.Stderr, "  /save <model>   Save your current session")
-		fmt.Fprintln(os.Stderr, "  /clear          Clear session context")
 		fmt.Fprintln(os.Stderr, "  /bye            Exit")
 		fmt.Fprintln(os.Stderr, "  /?, /help       Help for a command")
 		fmt.Fprintln(os.Stderr, "  /? shortcuts    Help for keyboard shortcuts")
@@ -281,10 +280,6 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 			}
 			fmt.Printf("Created new model '%s'\n", args[1])
 			continue
-		case strings.HasPrefix(line, "/clear"):
-			opts.Messages = []api.Message{}
-			fmt.Println("Cleared session context")
-			continue
 		case strings.HasPrefix(line, "/set"):
 			args := strings.Fields(line)
 			if len(args) > 1 {

convert/safetensors.go

@@ -53,7 +53,7 @@ func (m *SafetensorFormat) GetTensors(dirpath string, params *Params) ([]llm.Ten
 		var err error
 		t, offset, err = m.readTensors(f, offset, params)
 		if err != nil {
-			slog.Error(err.Error())
+			slog.Error("%v", err)
 			return nil, err
 		}
 		tensors = append(tensors, t...)
@@ -122,7 +122,7 @@ func (m *SafetensorFormat) readTensors(fn string, offset uint64, params *Params)
 
 		ggufName, err := m.GetLayerName(k)
 		if err != nil {
-			slog.Error(err.Error())
+			slog.Error("%v", err)
 			return nil, 0, err
 		}
 

convert/torch.go

@@ -74,7 +74,7 @@ func (tf *TorchFormat) GetTensors(dirpath string, params *Params) ([]llm.Tensor,
 
 			ggufName, err := tf.GetLayerName(k.(string))
 			if err != nil {
-				slog.Error(err.Error())
+				slog.Error("%v", err)
 				return nil, err
 			}
 			slog.Debug(fmt.Sprintf("finding name for '%s' -> '%s'", k.(string), ggufName))

docs/api.md

@@ -17,7 +17,7 @@
 
 ### Model names
 
-Model names follow a `model:tag` format, where `model` can have an optional namespace such as `example/model`. Some examples are `orca-mini:3b-q4_1` and `llama3:70b`. The tag is optional and, if not provided, will default to `latest`. The tag is used to identify a specific version.
+Model names follow a `model:tag` format, where `model` can have an optional namespace such as `example/model`. Some examples are `orca-mini:3b-q4_1` and `llama2:70b`. The tag is optional and, if not provided, will default to `latest`. The tag is used to identify a specific version.
 
 ### Durations
 
@@ -66,7 +66,7 @@ Enable JSON mode by setting the `format` parameter to `json`. This will structur
 
 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3",
+  "model": "llama2",
   "prompt": "Why is the sky blue?"
 }'
 ```
@@ -77,7 +77,7 @@ A stream of JSON objects is returned:
 
 ```json
 {
-  "model": "llama3",
+  "model": "llama2",
   "created_at": "2023-08-04T08:52:19.385406455-07:00",
   "response": "The",
   "done": false
@@ -95,11 +95,11 @@ The final response in the stream also includes additional data about the generat
 - `context`: an encoding of the conversation used in this response, this can be sent in the next request to keep a conversational memory
 - `response`: empty if the response was streamed, if not streamed, this will contain the full response
 
-To calculate how fast the response is generated in tokens per second (token/s), divide `eval_count` / `eval_duration` * `10^9`.
+To calculate how fast the response is generated in tokens per second (token/s), divide `eval_count` / `eval_duration`.
 
 ```json
 {
-  "model": "llama3",
+  "model": "llama2",
   "created_at": "2023-08-04T19:22:45.499127Z",
   "response": "",
   "done": true,
@@ -121,7 +121,7 @@ A response can be received in one reply when streaming is off.
 
 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3",
+  "model": "llama2",
   "prompt": "Why is the sky blue?",
   "stream": false
 }'
@@ -133,7 +133,7 @@ If `stream` is set to `false`, the response will be a single JSON object:
 
 ```json
 {
-  "model": "llama3",
+  "model": "llama2",
   "created_at": "2023-08-04T19:22:45.499127Z",
   "response": "The sky is blue because it is the color of the sky.",
   "done": true,
@@ -155,7 +155,7 @@ If `stream` is set to `false`, the response will be a single JSON object:
 
 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3",
+  "model": "llama2",
   "prompt": "What color is the sky at different times of the day? Respond using JSON",
   "format": "json",
   "stream": false
@@ -166,7 +166,7 @@ curl http://localhost:11434/api/generate -d '{
 
 ```json
 {
-  "model": "llama3",
+  "model": "llama2",
   "created_at": "2023-11-09T21:07:55.186497Z",
   "response": "{\n\"morning\": {\n\"color\": \"blue\"\n},\n\"noon\": {\n\"color\": \"blue-gray\"\n},\n\"afternoon\": {\n\"color\": \"warm gray\"\n},\n\"evening\": {\n\"color\": \"orange\"\n}\n}\n",
   "done": true,
@@ -289,7 +289,7 @@ If you want to set custom options for the model at runtime rather than in the Mo
 
 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3",
+  "model": "llama2",
   "prompt": "Why is the sky blue?",
   "stream": false,
   "options": {
@@ -332,7 +332,7 @@ curl http://localhost:11434/api/generate -d '{
 
 ```json
 {
-  "model": "llama3",
+  "model": "llama2",
   "created_at": "2023-08-04T19:22:45.499127Z",
   "response": "The sky is blue because it is the color of the sky.",
   "done": true,
@@ -354,7 +354,7 @@ If an empty prompt is provided, the model will be loaded into memory.
 
 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3"
+  "model": "llama2"
 }'
 ```
 
@@ -364,7 +364,7 @@ A single JSON object is returned:
 
 ```json
 {
-  "model": "llama3",
+  "model": "llama2",
   "created_at": "2023-12-18T19:52:07.071755Z",
   "response": "",
   "done": true
@@ -407,7 +407,7 @@ Send a chat message with a streaming response.
 
 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama3",
+  "model": "llama2",
   "messages": [
     {
       "role": "user",
@@ -423,7 +423,7 @@ A stream of JSON objects is returned:
 
 ```json
 {
-  "model": "llama3",
+  "model": "llama2",
   "created_at": "2023-08-04T08:52:19.385406455-07:00",
   "message": {
     "role": "assistant",
@@ -438,7 +438,7 @@ Final response:
 
 ```json
 {
-  "model": "llama3",
+  "model": "llama2",
   "created_at": "2023-08-04T19:22:45.499127Z",
   "done": true,
   "total_duration": 4883583458,
@@ -456,7 +456,7 @@ Final response:
 
 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama3",
+  "model": "llama2",
   "messages": [
     {
       "role": "user",
@@ -471,7 +471,7 @@ curl http://localhost:11434/api/chat -d '{
 
 ```json
 {
-  "model": "registry.ollama.ai/library/llama3:latest",
+  "model": "registry.ollama.ai/library/llama2:latest",
   "created_at": "2023-12-12T14:13:43.416799Z",
   "message": {
     "role": "assistant",
@@ -495,7 +495,7 @@ Send a chat message with a conversation history. You can use this same approach
 
 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama3",
+  "model": "llama2",
   "messages": [
     {
       "role": "user",
@@ -519,7 +519,7 @@ A stream of JSON objects is returned:
 
 ```json
 {
-  "model": "llama3",
+  "model": "llama2",
   "created_at": "2023-08-04T08:52:19.385406455-07:00",
   "message": {
     "role": "assistant",
@@ -533,7 +533,7 @@ Final response:
 
 ```json
 {
-  "model": "llama3",
+  "model": "llama2",
   "created_at": "2023-08-04T19:22:45.499127Z",
   "done": true,
   "total_duration": 8113331500,
@@ -591,7 +591,7 @@ curl http://localhost:11434/api/chat -d '{
 
 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama3",
+  "model": "llama2",
   "messages": [
     {
       "role": "user",
@@ -609,7 +609,7 @@ curl http://localhost:11434/api/chat -d '{
 
 ```json
 {
-  "model": "registry.ollama.ai/library/llama3:latest",
+  "model": "registry.ollama.ai/library/llama2:latest",
   "created_at": "2023-12-12T14:13:43.416799Z",
   "message": {
     "role": "assistant",
@@ -651,7 +651,7 @@ Create a new model from a `Modelfile`.
 ```shell
 curl http://localhost:11434/api/create -d '{
   "name": "mario",
-  "modelfile": "FROM llama3\nSYSTEM You are mario from Super Mario Bros."
+  "modelfile": "FROM llama2\nSYSTEM You are mario from Super Mario Bros."
 }'
 ```
 
@@ -758,7 +758,7 @@ A single JSON object will be returned.
       }
     },
     {
-      "name": "llama3:latest",
+      "name": "llama2:latest",
       "modified_at": "2023-12-07T09:32:18.757212583-08:00",
       "size": 3825819519,
       "digest": "fe938a131f40e6f6d40083c9f0f430a515233eb2edaa6d72eb85c50d64f2300e",
@@ -792,7 +792,7 @@ Show information about a model including details, modelfile, template, parameter
 
 ```shell
 curl http://localhost:11434/api/show -d '{
-  "name": "llama3"
+  "name": "llama2"
 }'
 ```
 
@@ -827,8 +827,8 @@ Copy a model. Creates a model with another name from an existing model.
 
 ```shell
 curl http://localhost:11434/api/copy -d '{
-  "source": "llama3",
-  "destination": "llama3-backup"
+  "source": "llama2",
+  "destination": "llama2-backup"
 }'
 ```
 
@@ -854,7 +854,7 @@ Delete a model and its data.
 
 ```shell
 curl -X DELETE http://localhost:11434/api/delete -d '{
-  "name": "llama3:13b"
+  "name": "llama2:13b"
 }'
 ```
 
@@ -882,7 +882,7 @@ Download a model from the ollama library. Cancelled pulls are resumed from where
 
 ```shell
 curl http://localhost:11434/api/pull -d '{
-  "name": "llama3"
+  "name": "llama2"
 }'
 ```
 

docs/development.md

@@ -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`).

docs/faq.md

@@ -32,7 +32,7 @@ When using the API, specify the `num_ctx` parameter:
 
 ```
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama3",
+  "model": "llama2",
   "prompt": "Why is the sky blue?",
   "options": {
     "num_ctx": 4096
@@ -88,9 +88,9 @@ On windows, Ollama inherits your user and system environment variables.
 
 3. Edit or create New variable(s) for your user account for `OLLAMA_HOST`, `OLLAMA_MODELS`, etc.
 
-4. Click OK/Apply to save
+4. Click OK/Apply to save 
 
-5. Run `ollama` from a new terminal window
+5. Run `ollama` from a new terminal window 
 
 
 ## How can I expose Ollama on my network?
@@ -140,7 +140,7 @@ Refer to the section [above](#how-do-i-configure-ollama-server) for how to set e
 
 - macOS: `~/.ollama/models`
 - Linux: `/usr/share/ollama/.ollama/models`
-- Windows: `C:\Users\%username%\.ollama\models`
+- Windows: `C:\Users\<username>\.ollama\models`
 
 ### How do I set them to a different location?
 
@@ -221,20 +221,14 @@ The `keep_alive` parameter can be set to:
 
 For example, to preload a model and leave it in memory use:
 ```shell
-curl http://localhost:11434/api/generate -d '{"model": "llama3", "keep_alive": -1}'
+curl http://localhost:11434/api/generate -d '{"model": "llama2", "keep_alive": -1}'
 ```
 
 To unload the model and free up memory use:
 ```shell
-curl http://localhost:11434/api/generate -d '{"model": "llama3", "keep_alive": 0}'
+curl http://localhost:11434/api/generate -d '{"model": "llama2", "keep_alive": 0}'
 ```
 
 Alternatively, you can change the amount of time all models are loaded into memory by setting the `OLLAMA_KEEP_ALIVE` environment variable when starting the Ollama server. The `OLLAMA_KEEP_ALIVE` variable uses the same parameter types as the `keep_alive` parameter types mentioned above. Refer to section explaining [how to configure the Ollama server](#how-do-i-configure-ollama-server) to correctly set the environment variable.
 
 If you wish to override the `OLLAMA_KEEP_ALIVE` setting, use the `keep_alive` API parameter with the `/api/generate` or `/api/chat` API endpoints.
-
-## How do I manage the maximum number of requests the server can queue
-
-If too many requests are sent to the server, it will respond with a 503 error
-indicating the server is overloaded.  You can adjust how many requests may be
-queue by setting `OLLAMA_MAX_QUEUE`

docs/import.md

@@ -125,7 +125,7 @@ Publishing models is in early alpha. If you'd like to publish your model to shar
 
 1. Create [an account](https://ollama.com/signup)
 2. Copy your Ollama public key:
-  - macOS: `cat ~/.ollama/id_ed25519.pub | pbcopy`
+  - macOS: `cat ~/.ollama/id_ed25519.pub`
   - Windows: `type %USERPROFILE%\.ollama\id_ed25519.pub`
   - Linux: `cat /usr/share/ollama/.ollama/id_ed25519.pub`
 3. Add your public key to your [Ollama account](https://ollama.com/settings/keys)
@@ -136,8 +136,6 @@ Next, copy your model to your username's namespace:
 ollama cp example <your username>/example
 ```
 
-> Note: model names may only contain lowercase letters, digits, and the characters `.`, `-`, and `_`.
-
 Then push the model:
 
 ```

docs/linux.md

@@ -105,7 +105,7 @@ sudo chmod +x /usr/bin/ollama
 To view logs of Ollama running as a startup service, run:
 
 ```bash
-journalctl -e -u ollama
+journalctl -u ollama
 ```
 
 ## Uninstall

docs/modelfile.md

@@ -10,7 +10,7 @@ A model file is the blueprint to create and share models with Ollama.
 - [Examples](#examples)
 - [Instructions](#instructions)
   - [FROM (Required)](#from-required)
-    - [Build from llama3](#build-from-llama3)
+    - [Build from llama2](#build-from-llama2)
     - [Build from a bin file](#build-from-a-bin-file)
   - [PARAMETER](#parameter)
     - [Valid Parameters and Values](#valid-parameters-and-values)
@@ -48,7 +48,7 @@ INSTRUCTION arguments
 An example of a `Modelfile` creating a mario blueprint:
 
 ```modelfile
-FROM llama3
+FROM llama2
 # sets the temperature to 1 [higher is more creative, lower is more coherent]
 PARAMETER temperature 1
 # sets the context window size to 4096, this controls how many tokens the LLM can use as context to generate the next token
@@ -67,25 +67,33 @@ To use this:
 
 More examples are available in the [examples directory](../examples).
 
-To view the Modelfile of a given model, use the `ollama show --modelfile` command.
+### `Modelfile`s in [ollama.com/library][1]
+
+There are two ways to view `Modelfile`s underlying the models in [ollama.com/library][1]:
+
+- Option 1: view a details page from a model's tags page:
+  1.  Go to a particular model's tags (e.g. https://ollama.com/library/llama2/tags)
+  2.  Click on a tag (e.g. https://ollama.com/library/llama2:13b)
+  3.  Scroll down to "Layers"
+      - Note: if the [`FROM` instruction](#from-required) is not present,
+        it means the model was created from a local file
+- Option 2: use `ollama show` to print the `Modelfile` for any local models like so:
 
   ```bash
-  > ollama show --modelfile llama3
+  > ollama show --modelfile llama2:13b
   # Modelfile generated by "ollama show"
   # To build a new Modelfile based on this one, replace the FROM line with:
-  # FROM llama3:latest
-  FROM /Users/pdevine/.ollama/models/blobs/sha256-00e1317cbf74d901080d7100f57580ba8dd8de57203072dc6f668324ba545f29
-  TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>
+  # FROM llama2:13b
 
-  {{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
+  FROM /root/.ollama/models/blobs/sha256:123abc
+  TEMPLATE """[INST] {{ if .System }}<<SYS>>{{ .System }}<</SYS>>
 
-  {{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
-
-  {{ .Response }}<|eot_id|>"""
-  PARAMETER stop "<|start_header_id|>"
-  PARAMETER stop "<|end_header_id|>"
-  PARAMETER stop "<|eot_id|>"
-  PARAMETER stop "<|reserved_special_token"
+  {{ end }}{{ .Prompt }} [/INST] """
+  SYSTEM """"""
+  PARAMETER stop [INST]
+  PARAMETER stop [/INST]
+  PARAMETER stop <<SYS>>
+  PARAMETER stop <</SYS>>
   ```
 
 ## Instructions
@@ -98,10 +106,10 @@ The `FROM` instruction defines the base model to use when creating a model.
 FROM <model name>:<tag>
 ```
 
-#### Build from llama3
+#### Build from llama2
 
 ```modelfile
-FROM llama3
+FROM llama2
 ```
 
 A list of available base models:

docs/openai.md

@@ -25,7 +25,7 @@ chat_completion = client.chat.completions.create(
             'content': 'Say this is a test',
         }
     ],
-    model='llama3',
+    model='llama2',
 )
 ```
 
@@ -43,7 +43,7 @@ const openai = new OpenAI({
 
 const chatCompletion = await openai.chat.completions.create({
   messages: [{ role: 'user', content: 'Say this is a test' }],
-  model: 'llama3',
+  model: 'llama2',
 })
 ```
 
@@ -53,7 +53,7 @@ const chatCompletion = await openai.chat.completions.create({
 curl http://localhost:11434/v1/chat/completions \
     -H "Content-Type: application/json" \
     -d '{
-        "model": "llama3",
+        "model": "llama2",
         "messages": [
             {
                 "role": "system",
@@ -113,7 +113,7 @@ curl http://localhost:11434/v1/chat/completions \
 Before using a model, pull it locally `ollama pull`:
 
 ```shell
-ollama pull llama3
+ollama pull llama2
 ```
 
 ### Default model names
@@ -121,7 +121,7 @@ ollama pull llama3
 For tooling that relies on default OpenAI model names such as `gpt-3.5-turbo`, use `ollama cp` to copy an existing model name to a temporary name:
 
 ```
-ollama cp llama3 gpt-3.5-turbo
+ollama cp llama2 gpt-3.5-turbo
 ```
 
 Afterwards, this new model name can be specified the `model` field:

docs/tutorials/langchainjs.md

@@ -15,7 +15,7 @@ import { Ollama } from "langchain/llms/ollama";
 
 const ollama = new Ollama({
   baseUrl: "http://localhost:11434",
-  model: "llama3",
+  model: "llama2",
 });
 
 const answer = await ollama.invoke(`why is the sky blue?`);
@@ -23,10 +23,10 @@ const answer = await ollama.invoke(`why is the sky blue?`);
 console.log(answer);
 ```
 
-That will get us the same thing as if we ran `ollama run llama3 "why is the sky blue"` in the terminal. But we want to load a document from the web to ask a question against. **Cheerio** is a great library for ingesting a webpage, and **LangChain** uses it in their **CheerioWebBaseLoader**. So let's install **Cheerio** and build that part of the app.
+That will get us the same thing as if we ran `ollama run llama2 "why is the sky blue"` in the terminal. But we want to load a document from the web to ask a question against. **Cheerio** is a great library for ingesting a webpage, and **LangChain** uses it in their **CheerioWebBaseLoader**. So let's install **Cheerio** and build that part of the app.
 
 ```bash
-npm install cheerio
+npm install cheerio 
 ```
 
 ```javascript

docs/tutorials/langchainpy.md

@@ -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.

docs/windows.md

@@ -1,61 +1,47 @@
-# Ollama Windows Preview
-
-Welcome to the Ollama Windows preview.
-
-No more WSL required!
-
-Ollama now runs as a native Windows application, including NVIDIA and AMD Radeon GPU support.
-After installing Ollama Windows Preview, Ollama will run in the background and
-the `ollama` command line is available in `cmd`, `powershell` or your favorite
-terminal application. As usual the Ollama [api](./api.md) will be served on
-`http://localhost:11434`.
-
-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
-[Troubleshooting](#troubleshooting) below)
-
-## System Requirements
-
-* Windows 10 or newer, Home or Pro
-* NVIDIA 452.39 or newer Drivers if you have an NVIDIA card
-* AMD Radeon Driver https://www.amd.com/en/support if you have a Radeon card
-
-## API Access
-
-Here's a quick example showing API access from `powershell`
-```powershell
-(Invoke-WebRequest -method POST -Body '{"model":"llama3", "prompt":"Why is the sky blue?", "stream": false}' -uri http://localhost:11434/api/generate ).Content | ConvertFrom-json
-```
-
-## Troubleshooting
-
-While we're in preview, `OLLAMA_DEBUG` is always enabled, which adds
-a "view logs" menu item to the app, and increses logging for the GUI app and
-server.
-
-Ollama on Windows stores files in a few different locations.  You can view them in
-the explorer window by hitting `<cmd>+R` and type in:
-- `explorer %LOCALAPPDATA%\Ollama` contains logs, and downloaded updates
-    - *app.log* contains logs from the GUI application
-    - *server.log* contains the server logs
-    - *upgrade.log* contains log output for upgrades
-- `explorer %LOCALAPPDATA%\Programs\Ollama` contains the binaries (The installer adds this to your user PATH)
-- `explorer %HOMEPATH%\.ollama` contains models and configuration
-- `explorer %TEMP%` contains temporary executable files in one or more `ollama*` directories
-
-
-## Standalone CLI
-
-The easiest way to install Ollama on Windows is to use the `OllamaSetup.exe`
-installer. It installs in your account without requiring Administrator rights.
-We update Ollama regularly to support the latest models, and this installer will
-help you keep up to date.
-
-If you'd like to install or integrate Ollama as a service, a standalone
-`ollama-windows-amd64.zip` zip file is available containing only the Ollama CLI
-and GPU library dependencies for Nvidia and AMD. This allows for embedding
-Ollama in existing applications, or running it as a system service via `ollama
-serve` with tools such as [NSSM](https://nssm.cc/).
+# Ollama Windows Preview
+
+Welcome to the Ollama Windows preview.
+
+No more WSL required!
+
+Ollama now runs as a native Windows application, including NVIDIA and AMD Radeon GPU support.
+After installing Ollama Windows Preview, Ollama will run in the background and
+the `ollama` command line is available in `cmd`, `powershell` or your favorite
+terminal application. As usual the Ollama [api](./api.md) will be served on
+`http://localhost:11434`.
+
+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
+[Troubleshooting](#troubleshooting) below)
+
+## System Requirements
+
+* Windows 10 or newer, Home or Pro
+* NVIDIA 452.39 or newer Drivers if you have an NVIDIA card
+* AMD Radeon Driver https://www.amd.com/en/support if you have a Radeon card
+
+## API Access
+
+Here's a quick example showing API access from `powershell`
+```powershell
+(Invoke-WebRequest -method POST -Body '{"model":"llama2", "prompt":"Why is the sky blue?", "stream": false}' -uri http://localhost:11434/api/generate ).Content | ConvertFrom-json
+```
+
+## Troubleshooting
+
+While we're in preview, `OLLAMA_DEBUG` is always enabled, which adds
+a "view logs" menu item to the app, and increses logging for the GUI app and
+server.
+
+Ollama on Windows stores files in a few different locations.  You can view them in
+the explorer window by hitting `<cmd>+R` and type in:
+- `explorer %LOCALAPPDATA%\Ollama` contains logs, and downloaded updates
+    - *app.log* contains logs from the GUI application
+    - *server.log* contains the server logs
+    - *upgrade.log* contains log output for upgrades
+- `explorer %LOCALAPPDATA%\Programs\Ollama` contains the binaries (The installer adds this to your user PATH)
+- `explorer %HOMEPATH%\.ollama` contains models and configuration
+- `explorer %TEMP%` contains temporary executable files in one or more `ollama*` directories

examples/bash-comparemodels/README.md

@@ -2,7 +2,7 @@
 
 When calling `ollama`, you can pass it a file to run all the prompts in the file, one after the other:
 
-`ollama run llama3 < sourcequestions.txt`
+`ollama run llama2 < sourcequestions.txt`
 
 This concept is used in the following example.
 

examples/flyio/.gitignore

@@ -1 +0,0 @@
-fly.toml

examples/flyio/README.md

@@ -1,67 +0,0 @@
-# Deploy Ollama to Fly.io
-
-> Note: this example exposes a public endpoint and does not configure authentication. Use with care.
-
-## Prerequisites
-
-- Ollama: https://ollama.com/download
-- Fly.io account. Sign up for a free account: https://fly.io/app/sign-up
-
-## Steps
-
-1. Login to Fly.io
-
-    ```bash
-    fly auth login
-    ```
-
-1. Create a new Fly app
-
-    ```bash
-    fly launch --name <name> --image ollama/ollama --internal-port 11434 --vm-size shared-cpu-8x --now
-    ```
-
-1. Pull and run `orca-mini:3b`
-
-    ```bash
-    OLLAMA_HOST=https://<name>.fly.dev ollama run orca-mini:3b
-    ```
-
-`shared-cpu-8x` is a free-tier eligible machine type. For better performance, switch to a `performance` or `dedicated` machine type or attach a GPU for hardware acceleration (see below).
-
-## (Optional) Persistent Volume
-
-By default Fly Machines use ephemeral storage which is problematic if you want to use the same model across restarts without pulling it again. Create and attach a persistent volume to store the downloaded models:
-
-1. Create the Fly Volume
-
-    ```bash
-    fly volume create ollama
-    ```
-
-1. Update `fly.toml` and add `[mounts]`
-
-    ```toml
-    [mounts]
-      source = "ollama"
-      destination = "/mnt/ollama/models"
-    ```
-
-1. Update `fly.toml` and add `[env]`
-
-    ```toml
-    [env]
-      OLLAMA_MODELS = "/mnt/ollama/models"
-    ```
-
-1. Deploy your app
-
-    ```bash
-    fly deploy
-    ```
-
-## (Optional) Hardware Acceleration
-
-Fly.io GPU is currently in waitlist. Sign up for the waitlist: https://fly.io/gpu
-
-Once you've been accepted, create the app with the additional flags `--vm-gpu-kind a100-pcie-40gb` or `--vm-gpu-kind a100-pcie-80gb`.

examples/go-chat/main.go

@@ -35,7 +35,7 @@ func main() {
 
 	ctx := context.Background()
 	req := &api.ChatRequest{
-		Model:    "llama3",
+		Model:    "llama2",
 		Messages: messages,
 	}
 

examples/go-http-generate/main.go

@@ -19,7 +19,7 @@ func main() {
 	}
 
 	defer resp.Body.Close()
-
+	
 	responseData, err := io.ReadAll(resp.Body)
 	if err != nil {
 		log.Fatal(err)

examples/kubernetes/README.md

@@ -7,24 +7,12 @@
 
 ## Steps
 
-1. Create the Ollama namespace, deployment, and service
+1. Create the Ollama namespace, daemon set, and service
 
    ```bash
    kubectl apply -f cpu.yaml
    ```
 
-## (Optional) Hardware Acceleration
-
-Hardware acceleration in Kubernetes requires NVIDIA's [`k8s-device-plugin`](https://github.com/NVIDIA/k8s-device-plugin) which is deployed in Kubernetes in form of daemonset. Follow the link for more details.
-
-Once configured, create a GPU enabled Ollama deployment.
-
-```bash
-kubectl apply -f gpu.yaml
-```
-
-## Test
-
 1. Port forward the Ollama service to connect and use it locally
 
    ```bash
@@ -35,4 +23,14 @@ kubectl apply -f gpu.yaml
 
    ```bash
    ollama run orca-mini:3b
-   ```
+   ```
+
+## (Optional) Hardware Acceleration
+
+Hardware acceleration in Kubernetes requires NVIDIA's [`k8s-device-plugin`](https://github.com/NVIDIA/k8s-device-plugin). Follow the link for more details.
+
+Once configured, create a GPU enabled Ollama deployment.
+
+```bash
+kubectl apply -f gpu.yaml
+```

examples/langchain-python-rag-document/main.py

@@ -40,9 +40,9 @@ while True:
         continue
 
     # Prompt
-    template = """Use the following pieces of context to answer the question at the end.
-    If you don't know the answer, just say that you don't know, don't try to make up an answer.
-    Use three sentences maximum and keep the answer as concise as possible.
+    template = """Use the following pieces of context to answer the question at the end. 
+    If you don't know the answer, just say that you don't know, don't try to make up an answer. 
+    Use three sentences maximum and keep the answer as concise as possible. 
     {context}
     Question: {question}
     Helpful Answer:"""
@@ -51,11 +51,11 @@ while True:
         template=template,
     )
 
-    llm = Ollama(model="llama3:8b", callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]))
+    llm = Ollama(model="llama2:13b", callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]))
     qa_chain = RetrievalQA.from_chain_type(
         llm,
         retriever=vectorstore.as_retriever(),
         chain_type_kwargs={"prompt": QA_CHAIN_PROMPT},
     )
 
-    result = qa_chain({"query": query})
+    result = qa_chain({"query": query})

examples/langchain-python-rag-websummary/main.py

@@ -1,12 +1,12 @@
-from langchain_community.llms import Ollama
-from langchain_community.document_loaders import WebBaseLoader
+from langchain.llms import Ollama
+from langchain.document_loaders import WebBaseLoader
 from langchain.chains.summarize import load_summarize_chain
 
 loader = WebBaseLoader("https://ollama.com/blog/run-llama2-uncensored-locally")
 docs = loader.load()
 
-llm = Ollama(model="llama3")
+llm = Ollama(model="llama2")
 chain = load_summarize_chain(llm, chain_type="stuff")
 
-result = chain.invoke(docs) 
+result = chain.run(docs)
 print(result)

examples/langchain-python-simple/README.md

@@ -4,10 +4,10 @@ This example is a basic "hello world" of using LangChain with Ollama.
 
 ## Running the Example
 
-1. Ensure you have the `llama3` model installed:
+1. Ensure you have the `llama2` model installed:
 
    ```bash
-   ollama pull llama3
+   ollama pull llama2
    ```
 
 2. Install the Python Requirements.
@@ -21,3 +21,4 @@ This example is a basic "hello world" of using LangChain with Ollama.
    ```bash
    python main.py
    ```
+  

examples/langchain-python-simple/main.py

@@ -1,6 +1,6 @@
 from langchain.llms import Ollama
 
 input = input("What is your question?")
-llm = Ollama(model="llama3")
+llm = Ollama(model="llama2")
 res = llm.predict(input)
 print (res)

examples/modelfile-mario/Modelfile

@@ -1,4 +1,4 @@
-FROM llama3
+FROM llama2
 PARAMETER temperature 1
 SYSTEM """
 You are Mario from super mario bros, acting as an assistant.

examples/modelfile-mario/readme.md

@@ -2,12 +2,12 @@
 
 # Example character: Mario
 
-This example shows how to create a basic character using Llama3 as the base model.
+This example shows how to create a basic character using Llama2 as the base model.
 
 To run this example:
 
 1. Download the Modelfile
-2. `ollama pull llama3` to get the base model used in the model file.
+2. `ollama pull llama2` to get the base model used in the model file.
 3. `ollama create NAME -f ./Modelfile`
 4. `ollama run NAME`
 
@@ -18,7 +18,7 @@ Ask it some questions like "Who are you?" or "Is Peach in trouble again?"
 What the model file looks like:
 
 ```
-FROM llama3
+FROM llama2
 PARAMETER temperature 1
 SYSTEM """
 You are Mario from Super Mario Bros, acting as an assistant.

examples/python-json-datagenerator/predefinedschema.py

@@ -2,16 +2,16 @@ import requests
 import json
 import random
 
-model = "llama3"
+model = "llama2"
 template = {
-  "firstName": "",
-  "lastName": "",
+  "firstName": "", 
+  "lastName": "", 
   "address": {
-    "street": "",
-    "city": "",
-    "state": "",
+    "street": "", 
+    "city": "", 
+    "state": "", 
     "zipCode": ""
-  },
+  }, 
   "phoneNumber": ""
 }
 

examples/python-json-datagenerator/randomaddresses.py

@@ -12,7 +12,7 @@ countries = [
     "France",
 ]
 country = random.choice(countries)
-model = "llama3"
+model = "llama2"
 
 prompt = f"generate one realistically believable sample data set of a persons first name, last name, address in {country}, and phone number. Do not use common names. Respond using JSON. Key names should have no backslashes, values should use plain ascii with no special characters."
 

examples/python-json-datagenerator/readme.md

@@ -6,10 +6,10 @@ There are two python scripts in this example. `randomaddresses.py` generates ran
 
 ## Running the Example
 
-1. Ensure you have the `llama3` model installed:
+1. Ensure you have the `llama2` model installed:
 
    ```bash
-   ollama pull llama3
+   ollama pull llama2
    ```
 
 2. Install the Python Requirements.

examples/python-simplechat/client.py

@@ -2,7 +2,7 @@ import json
 import requests
 
 # NOTE: ollama must be running for this to work, start the ollama app or run `ollama serve`
-model = "llama3"  # TODO: update this for whatever model you wish to use
+model = "llama2"  # TODO: update this for whatever model you wish to use
 
 
 def chat(messages):

examples/python-simplechat/readme.md

@@ -4,10 +4,10 @@ The **chat** endpoint is one of two ways to generate text from an LLM with Ollam
 
 ## Running the Example
 
-1. Ensure you have the `llama3` model installed:
+1. Ensure you have the `llama2` model installed:
 
    ```bash
-   ollama pull llama3
+   ollama pull llama2
    ```
 
 2. Install the Python Requirements.

examples/typescript-mentors/README.md

@@ -4,10 +4,10 @@ This example demonstrates how one would create a set of 'mentors' you can have a
 
 ## Usage
 
-1. Add llama3 to have the mentors ask your questions:
+1. Add llama2 to have the mentors ask your questions:
 
    ```bash
-   ollama pull llama3
+   ollama pull llama2
    ```
 
 2. Install prerequisites:

examples/typescript-mentors/character-generator.ts

@@ -15,7 +15,7 @@ async function characterGenerator() {
   ollama.setModel("stablebeluga2:70b-q4_K_M");
   const bio = await ollama.generate(`create a bio of ${character} in a single long paragraph. Instead of saying '${character} is...' or '${character} was...' use language like 'You are...' or 'You were...'. Then create a paragraph describing the speaking mannerisms and style of ${character}. Don't include anything about how ${character} looked or what they sounded like, just focus on the words they said. Instead of saying '${character} would say...' use language like 'You should say...'. If you use quotes, always use single quotes instead of double quotes. If there are any specific words or phrases you used a lot, show how you used them. `);
 
-  const thecontents = `FROM llama3\nSYSTEM """\n${bio.response.replace(/(\r\n|\n|\r)/gm, " ").replace('would', 'should')} All answers to questions should be related back to what you are most known for.\n"""`;
+  const thecontents = `FROM llama2\nSYSTEM """\n${bio.response.replace(/(\r\n|\n|\r)/gm, " ").replace('would', 'should')} All answers to questions should be related back to what you are most known for.\n"""`;
 
   fs.writeFile(path.join(directory, 'Modelfile'), thecontents, (err: any) => {
     if (err) throw err;
@@ -23,4 +23,4 @@ async function characterGenerator() {
   });
 }
 
-characterGenerator();
+characterGenerator();

examples/typescript-simplechat/client.ts

@@ -1,6 +1,6 @@
 import * as readline from "readline";
 
-const model = "llama3";
+const model = "llama2";
 type Message = {
   role: "assistant" | "user" | "system";
   content: string;
@@ -74,4 +74,4 @@ async function main() {
 
 }
 
-main();
+main();

gpu/amd_common.go

@@ -81,10 +81,8 @@ func commonAMDValidateLibDir() (string, error) {
 	}
 
 	// Well known location(s)
-	for _, path := range RocmStandardLocations {
-		if rocmLibUsable(path) {
-			return path, nil
-		}
+	if rocmLibUsable(RocmStandardLocation) {
+		return RocmStandardLocation, nil
 	}
 
 	// Installer payload location if we're running the installed binary

gpu/amd_linux.go

@@ -25,12 +25,12 @@ const (
 	// Prefix with the node dir
 	GPUTotalMemoryFileGlob = "mem_banks/*/properties" // size_in_bytes line
 	GPUUsedMemoryFileGlob  = "mem_banks/*/used_memory"
+	RocmStandardLocation   = "/opt/rocm/lib"
 )
 
 var (
 	// Used to validate if the given ROCm lib is usable
-	ROCmLibGlobs          = []string{"libhipblas.so.2*", "rocblas"} // TODO - probably include more coverage of files here...
-	RocmStandardLocations = []string{"/opt/rocm/lib", "/usr/lib64"}
+	ROCmLibGlobs = []string{"libhipblas.so.2*", "rocblas"} // TODO - probably include more coverage of files here...
 )
 
 // Gather GPU information from the amdgpu driver if any supported GPUs are detected

gpu/amd_windows.go

@@ -14,6 +14,7 @@ import (
 )
 
 const (
+	RocmStandardLocation = "C:\\Program Files\\AMD\\ROCm\\5.7\\bin" // TODO glob?
 
 	// TODO  We're lookinng for this exact name to detect iGPUs since hipGetDeviceProperties never reports integrated==true
 	iGPUName = "AMD Radeon(TM) Graphics"
@@ -21,8 +22,7 @@ const (
 
 var (
 	// Used to validate if the given ROCm lib is usable
-	ROCmLibGlobs          = []string{"hipblas.dll", "rocblas"}                 // TODO - probably include more coverage of files here...
-	RocmStandardLocations = []string{"C:\\Program Files\\AMD\\ROCm\\5.7\\bin"} // TODO glob?
+	ROCmLibGlobs = []string{"hipblas.dll", "rocblas"} // TODO - probably include more coverage of files here...
 )
 
 func AMDGetGPUInfo() []GpuInfo {

gpu/assets.go

@@ -12,8 +12,6 @@ import (
 	"sync"
 	"syscall"
 	"time"
-
-	"github.com/ollama/ollama/server/envconfig"
 )
 
 var (
@@ -26,8 +24,45 @@ func PayloadsDir() (string, error) {
 	defer lock.Unlock()
 	var err error
 	if payloadsDir == "" {
-		runnersDir := envconfig.RunnersDir
+		runnersDir := os.Getenv("OLLAMA_RUNNERS_DIR")
+		// On Windows we do not carry the payloads inside the main executable
+		if runtime.GOOS == "windows" && runnersDir == "" {
+			appExe, err := os.Executable()
+			if err != nil {
+				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{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")
+				_, err := os.Stat(candidate)
+				if err == nil {
+					runnersDir = candidate
+					break
+				}
+			}
+			if runnersDir == "" {
+				err = fmt.Errorf("unable to locate llm runner directory.  Set OLLAMA_RUNNERS_DIR to the location of 'ollama_runners'")
+				slog.Error("incomplete distribution", "error", err)
+				return "", err
+			}
+		}
 		if runnersDir != "" {
 			payloadsDir = runnersDir
 			return payloadsDir, nil
@@ -35,7 +70,7 @@ func PayloadsDir() (string, error) {
 
 		// The remainder only applies on non-windows where we still carry payloads in the main executable
 		cleanupTmpDirs()
-		tmpDir := envconfig.TmpDir
+		tmpDir := os.Getenv("OLLAMA_TMPDIR")
 		if tmpDir == "" {
 			tmpDir, err = os.MkdirTemp("", "ollama")
 			if err != nil {
@@ -98,7 +133,7 @@ func cleanupTmpDirs() {
 func Cleanup() {
 	lock.Lock()
 	defer lock.Unlock()
-	runnersDir := envconfig.RunnersDir
+	runnersDir := os.Getenv("OLLAMA_RUNNERS_DIR")
 	if payloadsDir != "" && runnersDir == "" && runtime.GOOS != "windows" {
 		// We want to fully clean up the tmpdir parent of the payloads dir
 		tmpDir := filepath.Clean(filepath.Join(payloadsDir, ".."))

gpu/gpu.go

@@ -21,18 +21,16 @@ import (
 	"unsafe"
 
 	"github.com/ollama/ollama/format"
-	"github.com/ollama/ollama/server/envconfig"
 )
 
 type handles struct {
 	deviceCount int
 	cudart      *C.cudart_handle_t
-	nvcuda      *C.nvcuda_handle_t
 }
 
 const (
-	cudaMinimumMemory = 256 * format.MebiByte
-	rocmMinimumMemory = 256 * format.MebiByte
+	cudaMinimumMemory = 457 * format.MebiByte
+	rocmMinimumMemory = 457 * format.MebiByte
 )
 
 var gpuMutex sync.Mutex
@@ -64,22 +62,6 @@ var CudartWindowsGlobs = []string{
 	"c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v*\\bin\\cudart64_*.dll",
 }
 
-var NvcudaLinuxGlobs = []string{
-	"/usr/local/cuda*/targets/*/lib/libcuda.so*",
-	"/usr/lib/*-linux-gnu/nvidia/current/libcuda.so*",
-	"/usr/lib/*-linux-gnu/libcuda.so*",
-	"/usr/lib/wsl/lib/libcuda.so*",
-	"/usr/lib/wsl/drivers/*/libcuda.so*",
-	"/opt/cuda/lib*/libcuda.so*",
-	"/usr/local/cuda/lib*/libcuda.so*",
-	"/usr/lib*/libcuda.so*",
-	"/usr/local/lib*/libcuda.so*",
-}
-
-var NvcudaWindowsGlobs = []string{
-	"c:\\windows\\system*\\nvcuda.dll",
-}
-
 // Jetson devices have JETSON_JETPACK="x.y.z" factory set to the Jetpack version installed.
 // Included to drive logic for reducing Ollama-allocated overhead on L4T/Jetson devices.
 var CudaTegra string = os.Getenv("JETSON_JETPACK")
@@ -92,8 +74,6 @@ func initGPUHandles() *handles {
 	gpuHandles := &handles{}
 	var cudartMgmtName string
 	var cudartMgmtPatterns []string
-	var nvcudaMgmtName string
-	var nvcudaMgmtPatterns []string
 
 	tmpDir, _ := PayloadsDir()
 	switch runtime.GOOS {
@@ -102,9 +82,6 @@ func initGPUHandles() *handles {
 		localAppData := os.Getenv("LOCALAPPDATA")
 		cudartMgmtPatterns = []string{filepath.Join(localAppData, "Programs", "Ollama", cudartMgmtName)}
 		cudartMgmtPatterns = append(cudartMgmtPatterns, CudartWindowsGlobs...)
-		// Aligned with driver, we can't carry as payloads
-		nvcudaMgmtName = "nvcuda.dll"
-		nvcudaMgmtPatterns = NvcudaWindowsGlobs
 	case "linux":
 		cudartMgmtName = "libcudart.so*"
 		if tmpDir != "" {
@@ -112,25 +89,11 @@ func initGPUHandles() *handles {
 			cudartMgmtPatterns = []string{filepath.Join(tmpDir, "cuda*", cudartMgmtName)}
 		}
 		cudartMgmtPatterns = append(cudartMgmtPatterns, CudartLinuxGlobs...)
-		// Aligned with driver, we can't carry as payloads
-		nvcudaMgmtName = "libcuda.so*"
-		nvcudaMgmtPatterns = NvcudaLinuxGlobs
 	default:
 		return gpuHandles
 	}
 
 	slog.Info("Detecting GPUs")
-	nvcudaLibPaths := FindGPULibs(nvcudaMgmtName, nvcudaMgmtPatterns)
-	if len(nvcudaLibPaths) > 0 {
-		deviceCount, nvcuda, libPath := LoadNVCUDAMgmt(nvcudaLibPaths)
-		if nvcuda != nil {
-			slog.Info("detected GPUs", "count", deviceCount, "library", libPath)
-			gpuHandles.nvcuda = nvcuda
-			gpuHandles.deviceCount = deviceCount
-			return gpuHandles
-		}
-	}
-
 	cudartLibPaths := FindGPULibs(cudartMgmtName, cudartMgmtPatterns)
 	if len(cudartLibPaths) > 0 {
 		deviceCount, cudart, libPath := LoadCUDARTMgmt(cudartLibPaths)
@@ -155,9 +118,6 @@ func GetGPUInfo() GpuInfoList {
 		if gpuHandles.cudart != nil {
 			C.cudart_release(*gpuHandles.cudart)
 		}
-		if gpuHandles.nvcuda != nil {
-			C.nvcuda_release(*gpuHandles.nvcuda)
-		}
 	}()
 
 	// All our GPU builds on x86 have AVX enabled, so fallback to CPU if we don't detect at least AVX
@@ -166,12 +126,6 @@ func GetGPUInfo() GpuInfoList {
 		slog.Warn("CPU does not have AVX or AVX2, disabling GPU support.")
 	}
 
-	// On windows we bundle the nvidia library one level above the runner dir
-	depPath := ""
-	if runtime.GOOS == "windows" && envconfig.RunnersDir != "" {
-		depPath = filepath.Dir(envconfig.RunnersDir)
-	}
-
 	var memInfo C.mem_info_t
 	resp := []GpuInfo{}
 
@@ -184,11 +138,7 @@ func GetGPUInfo() GpuInfoList {
 		gpuInfo := GpuInfo{
 			Library: "cuda",
 		}
-		if gpuHandles.cudart != nil {
-			C.cudart_check_vram(*gpuHandles.cudart, C.int(i), &memInfo)
-		} else {
-			C.nvcuda_check_vram(*gpuHandles.nvcuda, C.int(i), &memInfo)
-		}
+		C.cudart_check_vram(*gpuHandles.cudart, C.int(i), &memInfo)
 		if memInfo.err != nil {
 			slog.Info("error looking up nvidia GPU memory", "error", C.GoString(memInfo.err))
 			C.free(unsafe.Pointer(memInfo.err))
@@ -204,7 +154,6 @@ func GetGPUInfo() GpuInfoList {
 		gpuInfo.Major = int(memInfo.major)
 		gpuInfo.Minor = int(memInfo.minor)
 		gpuInfo.MinimumMemory = cudaMinimumMemory
-		gpuInfo.DependencyPath = depPath
 
 		// TODO potentially sort on our own algorithm instead of what the underlying GPU library does...
 		resp = append(resp, gpuInfo)
@@ -247,10 +196,9 @@ func GetCPUMem() (memInfo, error) {
 	return ret, nil
 }
 
-func FindGPULibs(baseLibName string, defaultPatterns []string) []string {
+func FindGPULibs(baseLibName string, patterns []string) []string {
 	// Multiple GPU libraries may exist, and some may not work, so keep trying until we exhaust them
 	var ldPaths []string
-	var patterns []string
 	gpuLibPaths := []string{}
 	slog.Debug("Searching for GPU library", "name", baseLibName)
 
@@ -270,14 +218,8 @@ func FindGPULibs(baseLibName string, defaultPatterns []string) []string {
 		}
 		patterns = append(patterns, filepath.Join(d, baseLibName+"*"))
 	}
-	patterns = append(patterns, defaultPatterns...)
 	slog.Debug("gpu library search", "globs", patterns)
 	for _, pattern := range patterns {
-
-		// Nvidia PhysX known to return bogus results
-		if strings.Contains(pattern, "PhysX") {
-			slog.Debug("skipping PhysX cuda library path", "path", pattern)
-		}
 		// Ignore glob discovery errors
 		matches, _ := filepath.Glob(pattern)
 		for _, match := range matches {
@@ -325,25 +267,8 @@ func LoadCUDARTMgmt(cudartLibPaths []string) (int, *C.cudart_handle_t, string) {
 	return 0, nil, ""
 }
 
-func LoadNVCUDAMgmt(nvcudaLibPaths []string) (int, *C.nvcuda_handle_t, string) {
-	var resp C.nvcuda_init_resp_t
-	resp.ch.verbose = getVerboseState()
-	for _, libPath := range nvcudaLibPaths {
-		lib := C.CString(libPath)
-		defer C.free(unsafe.Pointer(lib))
-		C.nvcuda_init(lib, &resp)
-		if resp.err != nil {
-			slog.Debug("Unable to load nvcuda", "library", libPath, "error", C.GoString(resp.err))
-			C.free(unsafe.Pointer(resp.err))
-		} else {
-			return int(resp.num_devices), &resp.ch, libPath
-		}
-	}
-	return 0, nil, ""
-}
-
 func getVerboseState() C.uint16_t {
-	if envconfig.Debug {
+	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
 		return C.uint16_t(1)
 	}
 	return C.uint16_t(0)

gpu/gpu_darwin.go

@@ -1,5 +1,3 @@
-//go:build darwin
-
 package gpu
 
 /*
@@ -10,12 +8,6 @@ package gpu
 import "C"
 import (
 	"runtime"
-
-	"github.com/ollama/ollama/format"
-)
-
-const (
-	metalMinimumMemory = 384 * format.MebiByte
 )
 
 func GetGPUInfo() GpuInfoList {
@@ -38,7 +30,7 @@ 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}
 }
 

gpu/gpu_info.h

@@ -58,7 +58,6 @@ void cpu_check_ram(mem_info_t *resp);
 #endif
 
 #include "gpu_info_cudart.h"
-#include "gpu_info_nvcuda.h"
 
 #endif  // __GPU_INFO_H__
 #endif  // __APPLE__

gpu/gpu_info_cudart.h

@@ -6,9 +6,9 @@
 // Just enough typedef's to dlopen/dlsym for memory information
 typedef enum cudartReturn_enum {
   CUDART_SUCCESS = 0,
-  CUDART_ERROR_INVALID_VALUE = 1,
-  CUDART_ERROR_MEMORY_ALLOCATION = 2,
-  CUDART_ERROR_INSUFFICIENT_DRIVER = 35,
+  CUDA_ERROR_INVALID_VALUE = 1,
+  CUDA_ERROR_MEMORY_ALLOCATION = 2,
+  CUDA_ERROR_INSUFFICIENT_DRIVER = 35,
   // Other values omitted for now...
 } cudartReturn_t;
 

gpu/gpu_info_nvcuda.c

@@ -1,203 +0,0 @@
-#ifndef __APPLE__  // TODO - maybe consider nvidia support on intel macs?
-
-#include <string.h>
-#include "gpu_info_nvcuda.h"
-
-void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp) {
-  CUresult ret;
-  resp->err = NULL;
-  resp->num_devices = 0;
-  const int buflen = 256;
-  char buf[buflen + 1];
-  int i;
-
-  struct lookup {
-    char *s;
-    void **p;
-  } l[] = {
-   
-      {"cuInit", (void *)&resp->ch.cuInit},
-      {"cuDriverGetVersion", (void *)&resp->ch.cuDriverGetVersion},
-      {"cuDeviceGetCount", (void *)&resp->ch.cuDeviceGetCount},
-      {"cuDeviceGet", (void *)&resp->ch.cuDeviceGet},
-      {"cuDeviceGetAttribute", (void *)&resp->ch.cuDeviceGetAttribute},
-      {"cuDeviceGetUuid", (void *)&resp->ch.cuDeviceGetUuid},
-      {"cuCtxCreate_v3", (void *)&resp->ch.cuCtxCreate_v3},
-      {"cuMemGetInfo_v2", (void *)&resp->ch.cuMemGetInfo_v2},
-      {"cuCtxDestroy", (void *)&resp->ch.cuCtxDestroy},
-      {NULL, NULL},
-  };
-
-  resp->ch.handle = LOAD_LIBRARY(nvcuda_lib_path, RTLD_LAZY);
-  if (!resp->ch.handle) {
-    char *msg = LOAD_ERR();
-    LOG(resp->ch.verbose, "library %s load err: %s\n", nvcuda_lib_path, msg);
-    snprintf(buf, buflen,
-            "Unable to load %s library to query for Nvidia GPUs: %s",
-            nvcuda_lib_path, msg);
-    free(msg);
-    resp->err = strdup(buf);
-    return;
-  }
-
-  for (i = 0; l[i].s != NULL; i++) {
-    *l[i].p = LOAD_SYMBOL(resp->ch.handle, l[i].s);
-    if (!*l[i].p) {
-      char *msg = LOAD_ERR();
-      LOG(resp->ch.verbose, "dlerr: %s\n", msg);
-      UNLOAD_LIBRARY(resp->ch.handle);
-      resp->ch.handle = NULL;
-      snprintf(buf, buflen, "symbol lookup for %s failed: %s", l[i].s,
-              msg);
-      free(msg);
-      resp->err = strdup(buf);
-      return;
-    }
-  }
-
-  ret = (*resp->ch.cuInit)(0);
-  if (ret != CUDA_SUCCESS) {
-    LOG(resp->ch.verbose, "cuInit err: %d\n", ret);
-    UNLOAD_LIBRARY(resp->ch.handle);
-    resp->ch.handle = NULL;
-    if (ret == CUDA_ERROR_INSUFFICIENT_DRIVER) {
-      resp->err = strdup("your nvidia driver is too old or missing.  If you have a CUDA GPU please upgrade to run ollama");
-      return;
-    }
-    snprintf(buf, buflen, "nvcuda init failure: %d", ret);
-    resp->err = strdup(buf);
-    return;
-  }
-
-  int version = 0;
-  nvcudaDriverVersion_t driverVersion;
-  driverVersion.major = 0;
-  driverVersion.minor = 0;
-
-  // Report driver version if we're in verbose mode, ignore errors
-  ret = (*resp->ch.cuDriverGetVersion)(&version);
-  if (ret != CUDA_SUCCESS) {
-    LOG(resp->ch.verbose, "cuDriverGetVersion failed: %d\n", ret);
-  } else {
-    driverVersion.major = version / 1000;
-    driverVersion.minor = (version - (driverVersion.major * 1000)) / 10;
-    LOG(resp->ch.verbose, "CUDA driver version: %d-%d\n", driverVersion.major, driverVersion.minor);
-  }
-
-  ret = (*resp->ch.cuDeviceGetCount)(&resp->num_devices);
-  if (ret != CUDA_SUCCESS) {
-    LOG(resp->ch.verbose, "cuDeviceGetCount err: %d\n", ret);
-    UNLOAD_LIBRARY(resp->ch.handle);
-    resp->ch.handle = NULL;
-    snprintf(buf, buflen, "unable to get device count: %d", ret);
-    resp->err = strdup(buf);
-    return;
-  }
-}
-
-const int buflen = 256;
-void nvcuda_check_vram(nvcuda_handle_t h, int i, mem_info_t *resp) {
-  resp->err = NULL;
-  nvcudaMemory_t memInfo = {0,0};
-  CUresult ret;
-  CUdevice device = -1;
-  CUcontext ctx = NULL;
-  char buf[buflen + 1];
-  CUuuid uuid = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
-
-  if (h.handle == NULL) {
-    resp->err = strdup("nvcuda handle isn't initialized");
-    return;
-  }
-
-  ret = (*h.cuDeviceGet)(&device, i);
-  if (ret != CUDA_SUCCESS) {
-    snprintf(buf, buflen, "nvcuda device failed to initialize");
-    resp->err = strdup(buf);
-    return;
-  }
-
-  resp->major = 0;
-  resp->minor = 0;
-  int major = 0;
-  int minor = 0;
-  ret = (*h.cuDeviceGetAttribute)(&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, device);
-  if (ret != CUDA_SUCCESS) {
-    LOG(h.verbose, "[%d] device major lookup failure: %d\n", i, ret);
-  } else {
-    ret = (*h.cuDeviceGetAttribute)(&minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, device);
-    if (ret != CUDA_SUCCESS) {
-      LOG(h.verbose, "[%d] device minor lookup failure: %d\n", i, ret);
-    } else {
-      resp->minor = minor;  
-      resp->major = major;  
-    }
-  }
-
-  ret = (*h.cuDeviceGetUuid)(&uuid, device);
-  if (ret != CUDA_SUCCESS) {
-    LOG(h.verbose, "[%d] device uuid lookup failure: %d\n", i, ret);
-    snprintf(&resp->gpu_id[0], GPU_ID_LEN, "%d", i);
-  } else {
-    // GPU-d110a105-ac29-1d54-7b49-9c90440f215b
-    snprintf(&resp->gpu_id[0], GPU_ID_LEN,
-        "GPU-%02x%02x%02x%02x-%02x%02x-%02x%02x-%02x%02x-%02x%02x%02x%02x%02x%02x",
-        uuid.bytes[0],
-        uuid.bytes[1],
-        uuid.bytes[2],
-        uuid.bytes[3],
-        uuid.bytes[4],
-        uuid.bytes[5],
-        uuid.bytes[6],
-        uuid.bytes[7],
-        uuid.bytes[8],
-        uuid.bytes[9],
-        uuid.bytes[10],
-        uuid.bytes[11],
-        uuid.bytes[12],
-        uuid.bytes[13],
-        uuid.bytes[14],
-        uuid.bytes[15]
-      );
-  }
-
-  // To get memory we have to set (and release) a context
-  ret = (*h.cuCtxCreate_v3)(&ctx, NULL, 0, 0, device);
-  if (ret != CUDA_SUCCESS) {
-    snprintf(buf, buflen, "nvcuda failed to get primary device context %d", ret);
-    resp->err = strdup(buf);
-    return;
-  }
-
-  ret = (*h.cuMemGetInfo_v2)(&memInfo.free, &memInfo.total);
-  if (ret != CUDA_SUCCESS) {
-    snprintf(buf, buflen, "nvcuda device memory info lookup failure %d", ret);
-    resp->err = strdup(buf);
-    // Best effort on failure...
-    (*h.cuCtxDestroy)(ctx);
-    return;
-  }
-
-  resp->total = memInfo.total;
-  resp->free = memInfo.free;
-
-  LOG(h.verbose, "[%s] CUDA totalMem %lu mb\n", resp->gpu_id, resp->total / 1024 / 1024);
-  LOG(h.verbose, "[%s] CUDA freeMem %lu mb\n", resp->gpu_id, resp->free / 1024 / 1024);
-  LOG(h.verbose, "[%s] Compute Capability %d.%d\n", resp->gpu_id, resp->major, resp->minor);
-
-  
-
-  ret = (*h.cuCtxDestroy)(ctx);
-  if (ret != CUDA_SUCCESS) {
-    LOG(1, "nvcuda failed to release primary device context %d", ret);
-  }
-}
-
-void nvcuda_release(nvcuda_handle_t h) {
-  LOG(h.verbose, "releasing nvcuda library\n");
-  UNLOAD_LIBRARY(h.handle);
-  // TODO and other context release logic?
-  h.handle = NULL;
-}
-
-#endif  // __APPLE__

gpu/gpu_info_nvcuda.h

@@ -1,71 +0,0 @@
-#ifndef __APPLE__
-#ifndef __GPU_INFO_NVCUDA_H__
-#define __GPU_INFO_NVCUDA_H__
-#include "gpu_info.h"
-
-// Just enough typedef's to dlopen/dlsym for memory information
-typedef enum cudaError_enum {
-  CUDA_SUCCESS = 0,
-  CUDA_ERROR_INVALID_VALUE = 1,
-  CUDA_ERROR_MEMORY_ALLOCATION = 2,
-  CUDA_ERROR_NOT_INITIALIZED = 3,
-  CUDA_ERROR_INSUFFICIENT_DRIVER = 35,
-  // Other values omitted for now...
-} CUresult;
-
-typedef enum CUdevice_attribute_enum {
-  CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR = 75,
-  CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR = 76,
-
-  // TODO - not yet wired up but may be useful for Jetson or other
-  // integrated GPU scenarios with shared memory
-  CU_DEVICE_ATTRIBUTE_INTEGRATED = 18
-
-} CUdevice_attribute;
-
-typedef void *nvcudaDevice_t;  // Opaque is sufficient
-typedef struct nvcudaMemory_st {
-  uint64_t total;
-  uint64_t free;
-} nvcudaMemory_t;
-
-typedef struct nvcudaDriverVersion {
-  int major;
-  int minor;
-} nvcudaDriverVersion_t;
-
-typedef struct CUuuid_st {
-    unsigned char bytes[16];
-} CUuuid;
-
-typedef int CUdevice;
-typedef void* CUcontext;
-
-typedef struct nvcuda_handle {
-  void *handle;
-  uint16_t verbose;
-  CUresult (*cuInit)(unsigned int Flags);
-  CUresult (*cuDriverGetVersion)(int *driverVersion);
-  CUresult (*cuDeviceGetCount)(int *);
-  CUresult (*cuDeviceGet)(CUdevice* device, int ordinal);
-  CUresult (*cuDeviceGetAttribute)(int* pi, CUdevice_attribute attrib, CUdevice dev);
-  CUresult (*cuDeviceGetUuid)(CUuuid* uuid, CUdevice dev); // signature compatible with cuDeviceGetUuid_v2
-
-  // Context specific aspects
-  CUresult (*cuCtxCreate_v3)(CUcontext* pctx, void *params, int len, unsigned int flags, CUdevice dev);
-  CUresult (*cuMemGetInfo_v2)(uint64_t* free, uint64_t* total);
-  CUresult (*cuCtxDestroy)(CUcontext ctx);
-} nvcuda_handle_t;
-
-typedef struct nvcuda_init_resp {
-  char *err;  // If err is non-null handle is invalid
-  nvcuda_handle_t ch;
-  int num_devices;
-} nvcuda_init_resp_t;
-
-void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp);
-void nvcuda_check_vram(nvcuda_handle_t ch, int device_id, mem_info_t *resp);
-void nvcuda_release(nvcuda_handle_t ch);
-
-#endif  // __GPU_INFO_NVCUDA_H__
-#endif  // __APPLE__

integration/max_queue_test.go

@@ -1,117 +0,0 @@
-//go:build integration
-
-package integration
-
-import (
-	"context"
-	"errors"
-	"fmt"
-	"log/slog"
-	"os"
-	"strconv"
-	"strings"
-	"sync"
-	"testing"
-	"time"
-
-	"github.com/ollama/ollama/api"
-	"github.com/stretchr/testify/require"
-)
-
-func TestMaxQueue(t *testing.T) {
-	// Note: This test can be quite slow when running in CPU mode, so keep the threadCount low unless your on GPU
-	// Also note that by default Darwin can't sustain > ~128 connections without adjusting limits
-	threadCount := 32
-	mq := os.Getenv("OLLAMA_MAX_QUEUE")
-	if mq != "" {
-		var err error
-		threadCount, err = strconv.Atoi(mq)
-		require.NoError(t, err)
-	} else {
-		os.Setenv("OLLAMA_MAX_QUEUE", fmt.Sprintf("%d", threadCount))
-	}
-
-	req := api.GenerateRequest{
-		Model:  "orca-mini",
-		Prompt: "write a long historical fiction story about christopher columbus.  use at least 10 facts from his actual journey",
-		Options: map[string]interface{}{
-			"seed":        42,
-			"temperature": 0.0,
-		},
-	}
-	resp := []string{"explore", "discover", "ocean"}
-
-	// CPU mode takes much longer at the limit with a large queue setting
-	ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
-	defer cancel()
-	client, _, cleanup := InitServerConnection(ctx, t)
-	defer cleanup()
-
-	require.NoError(t, PullIfMissing(ctx, client, req.Model))
-
-	// Context for the worker threads so we can shut them down
-	// embedCtx, embedCancel := context.WithCancel(ctx)
-	embedCtx := ctx
-
-	var genwg sync.WaitGroup
-	go func() {
-		genwg.Add(1)
-		defer genwg.Done()
-		slog.Info("Starting generate request")
-		DoGenerate(ctx, t, client, req, resp, 45*time.Second, 5*time.Second)
-		slog.Info("generate completed")
-	}()
-
-	// Give the generate a chance to get started before we start hammering on embed requests
-	time.Sleep(5 * time.Millisecond)
-
-	threadCount += 10 // Add a few extra to ensure we push the queue past its limit
-	busyCount := 0
-	resetByPeerCount := 0
-	canceledCount := 0
-	succesCount := 0
-	counterMu := sync.Mutex{}
-	var embedwg sync.WaitGroup
-	for i := 0; i < threadCount; i++ {
-		go func(i int) {
-			embedwg.Add(1)
-			defer embedwg.Done()
-			slog.Info("embed started", "id", i)
-			embedReq := api.EmbeddingRequest{
-				Model:   req.Model,
-				Prompt:  req.Prompt,
-				Options: req.Options,
-			}
-			// Fresh client for every request
-			client, _ = GetTestEndpoint()
-
-			resp, genErr := client.Embeddings(embedCtx, &embedReq)
-			counterMu.Lock()
-			defer counterMu.Unlock()
-			switch {
-			case genErr == nil:
-				succesCount++
-				require.Greater(t, len(resp.Embedding), 5) // somewhat arbitrary, but sufficient to be reasonable
-			case errors.Is(genErr, context.Canceled):
-				canceledCount++
-			case strings.Contains(genErr.Error(), "busy"):
-				busyCount++
-			case strings.Contains(genErr.Error(), "connection reset by peer"):
-				resetByPeerCount++
-			default:
-				require.NoError(t, genErr, "%d request failed", i)
-			}
-
-			slog.Info("embed finished", "id", i)
-		}(i)
-	}
-	genwg.Wait()
-	slog.Info("generate done, waiting for embeds")
-	embedwg.Wait()
-
-	require.Equal(t, resetByPeerCount, 0, "Connections reset by peer, have you updated your fd and socket limits?")
-	require.True(t, busyCount > 0, "no requests hit busy error but some should have")
-	require.True(t, canceledCount == 0, "no requests should have been canceled due to timeout")
-
-	slog.Info("embeds completed", "success", succesCount, "busy", busyCount, "reset", resetByPeerCount, "canceled", canceledCount)
-}

llm/ext_server/server.cpp

@@ -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 = {};
@@ -1186,6 +1183,8 @@ struct llama_server_context
             {"model",               params.model_alias},
             {"tokens_predicted",    slot.n_decoded},
             {"tokens_evaluated",    slot.n_prompt_tokens},
+            {"generation_settings", get_formated_generation(slot)},
+            {"prompt",              slot.prompt},
             {"truncated",           slot.truncated},
             {"stopped_eos",         slot.stopped_eos},
             {"stopped_word",        slot.stopped_word},
@@ -2645,18 +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;

llm/generate/gen_windows.ps1

@@ -42,7 +42,7 @@ function init_vars {
         "-DLLAMA_NATIVE=off"
         )
     $script:commonCpuDefs = @("-DCMAKE_POSITION_INDEPENDENT_CODE=on")
-    $script:ARCH = $Env:PROCESSOR_ARCHITECTURE.ToLower()
+    $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") {
@@ -213,11 +213,11 @@ function build_static() {
     }
 }
 
-function build_cpu($gen_arch) {
+function build_cpu() {
     if ((-not "${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: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"
@@ -349,15 +349,11 @@ 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
-    }
+    build_cpu
+    build_cpu_avx
+    build_cpu_avx2
+    build_cuda
+    build_rocm
 
     cleanup
     write-host "`ngo generate completed.  LLM runners: $(get-childitem -path $script:DIST_BASE)"

llm/llm.go

@@ -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>

llm/memory.go

@@ -3,11 +3,12 @@ package llm
 import (
 	"fmt"
 	"log/slog"
+	"os"
+	"strconv"
 
 	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/gpu"
-	"github.com/ollama/ollama/server/envconfig"
 )
 
 // This algorithm looks for a complete fit to determine if we need to unload other models
@@ -49,8 +50,15 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
 	for _, info := range gpus {
 		memoryAvailable += info.FreeMemory
 	}
-	if envconfig.MaxVRAM > 0 {
-		memoryAvailable = envconfig.MaxVRAM
+	userLimit := os.Getenv("OLLAMA_MAX_VRAM")
+	if userLimit != "" {
+		avail, err := strconv.ParseUint(userLimit, 10, 64)
+		if err != nil {
+			slog.Error("invalid setting, ignoring", "OLLAMA_MAX_VRAM", userLimit, "error", err)
+		} else {
+			slog.Info("user override memory limit", "OLLAMA_MAX_VRAM", avail, "actual", memoryAvailable)
+			memoryAvailable = avail
+		}
 	}
 
 	slog.Debug("evaluating", "library", gpus[0].Library, "gpu_count", len(gpus), "available", format.HumanBytes2(memoryAvailable))
@@ -80,24 +88,19 @@ 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
-	}
-
-	layers := ggml.Tensors().Layers()
-
 	// memoryRequiredTotal represents the memory required for full GPU offloading (all layers)
-	memoryRequiredTotal := memoryMinimum + graphFullOffload + layers["blk.0"].size()
+	memoryRequiredTotal := memoryMinimum + graphFullOffload
 
 	// memoryRequiredPartial represents the memory required for partial GPU offloading (n > 0, n < layers)
-	memoryRequiredPartial := memoryMinimum + graphPartialOffload + layers["blk.0"].size()
+	memoryRequiredPartial := memoryMinimum + graphPartialOffload
 
 	if memoryRequiredPartial > memoryAvailable {
 		slog.Debug("insufficient VRAM to load any model layers")
 		return 0, 0
 	}
 
+	layers := ggml.Tensors().Layers()
+
 	var memoryLayerOutput uint64
 	if layer, ok := layers["output_norm"]; ok {
 		memoryLayerOutput += layer.size()

llm/patches/05-clip-fix.diff

@@ -1,24 +0,0 @@
-diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp
-index e3c9bcd4..b43f892d 100644
---- a/examples/llava/clip.cpp
-+++ b/examples/llava/clip.cpp
-@@ -573,14 +573,16 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
-     struct ggml_tensor * embeddings = inp;
-     if (ctx->has_class_embedding) {
-         embeddings = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, hidden_size, num_positions, batch_size);
-+    }
-+    ggml_set_name(embeddings, "embeddings");
-+    ggml_set_input(embeddings);
-+
-+    if (ctx->has_class_embedding) {
-         embeddings = ggml_acc(ctx0, embeddings, model.class_embedding,
-                 embeddings->nb[1], embeddings->nb[2], embeddings->nb[3], 0);
-         embeddings = ggml_acc(ctx0, embeddings, inp,
-                 embeddings->nb[1], embeddings->nb[2], embeddings->nb[3], model.class_embedding->nb[1]);
-     }
--    ggml_set_name(embeddings, "embeddings");
--    ggml_set_input(embeddings);
--
- 
-     struct ggml_tensor * positions = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, num_positions);
-     ggml_set_name(positions, "positions");

llm/server.go

@@ -26,7 +26,6 @@ import (
 	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/gpu"
-	"github.com/ollama/ollama/server/envconfig"
 )
 
 type LlamaServer interface {
@@ -74,7 +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 {
@@ -125,7 +125,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 	} else {
 		servers = serversForGpu(gpus[0]) // All GPUs in the list are matching Library and Variant
 	}
-	demandLib := envconfig.LLMLibrary
+	demandLib := strings.Trim(os.Getenv("OLLAMA_LLM_LIBRARY"), "\"' ")
 	if demandLib != "" {
 		serverPath := availableServers[demandLib]
 		if serverPath == "" {
@@ -146,7 +146,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		"--batch-size", fmt.Sprintf("%d", opts.NumBatch),
 		"--embedding",
 	}
-	if envconfig.Debug {
+	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
 		params = append(params, "--log-format", "json")
 	} else {
 		params = append(params, "--log-disable")
@@ -156,7 +156,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		params = append(params, "--n-gpu-layers", fmt.Sprintf("%d", opts.NumGPU))
 	}
 
-	if envconfig.Debug {
+	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
 		params = append(params, "--verbose")
 	}
 
@@ -194,15 +194,16 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		params = append(params, "--numa")
 	}
 
-	numParallel := envconfig.NumParallel
-
-	// TODO (jmorganca): multimodal models don't support parallel yet
-	// see https://github.com/ollama/ollama/issues/4165
-	if len(projectors) > 0 {
-		numParallel = 1
-		slog.Warn("multimodal models don't support parallel requests yet")
+	// "--cont-batching", // TODO - doesn't seem to have any noticeable perf change for multiple requests
+	numParallel := 1
+	if onp := os.Getenv("OLLAMA_NUM_PARALLEL"); onp != "" {
+		numParallel, err = strconv.Atoi(onp)
+		if err != nil || numParallel <= 0 {
+			err = fmt.Errorf("invalid OLLAMA_NUM_PARALLEL=%s must be greater than zero - %w", onp, err)
+			slog.Error("misconfiguration", "error", err)
+			return nil, err
+		}
 	}
-
 	params = append(params, "--parallel", fmt.Sprintf("%d", numParallel))
 
 	for i := 0; i < len(servers); i++ {
@@ -233,13 +234,13 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		if runtime.GOOS == "windows" {
 			pathEnv = "PATH"
 		}
-		// prepend the server directory to LD_LIBRARY_PATH/PATH
+		// append the server directory to LD_LIBRARY_PATH/PATH
 		libraryPaths := []string{dir}
 
 		if libraryPath, ok := os.LookupEnv(pathEnv); ok {
 			// Append our runner directory to the path
 			// This will favor system libraries over our bundled library dependencies
-			libraryPaths = append(libraryPaths, filepath.SplitList(libraryPath)...)
+			libraryPaths = append(filepath.SplitList(libraryPath), libraryPaths...)
 		}
 
 		// Note: we always put the dependency path first
@@ -275,31 +276,15 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 			sem:           semaphore.NewWeighted(int64(numParallel)),
 		}
 
-		s.cmd.Env = os.Environ()
+		libEnv := fmt.Sprintf("%s=%s", pathEnv, strings.Join(libraryPaths, string(filepath.ListSeparator)))
+		s.cmd.Env = append(os.Environ(), libEnv)
 		s.cmd.Stdout = os.Stdout
 		s.cmd.Stderr = s.status
 
-		visibleDevicesEnv, visibleDevicesEnvVal := gpu.GpuInfoList(gpus).GetVisibleDevicesEnv()
-		pathEnvVal := strings.Join(libraryPaths, string(filepath.ListSeparator))
-
-		// Update or add the path and visible devices variable with our adjusted version
-		pathNeeded := true
-		devicesNeeded := visibleDevicesEnv != ""
-		for i := range s.cmd.Env {
-			cmp := strings.SplitN(s.cmd.Env[i], "=", 2)
-			if strings.EqualFold(cmp[0], pathEnv) {
-				s.cmd.Env[i] = pathEnv + "=" + pathEnvVal
-				pathNeeded = false
-			} else if devicesNeeded && strings.EqualFold(cmp[0], visibleDevicesEnv) {
-				s.cmd.Env[i] = visibleDevicesEnv + "=" + visibleDevicesEnvVal
-				devicesNeeded = false
-			}
-		}
-		if pathNeeded {
-			s.cmd.Env = append(s.cmd.Env, pathEnv+"="+pathEnvVal)
-		}
-		if devicesNeeded {
-			s.cmd.Env = append(s.cmd.Env, visibleDevicesEnv+"="+visibleDevicesEnvVal)
+		// TODO - multiple GPU selection logic...
+		key, val := gpu.GpuInfoList(gpus).GetVisibleDevicesEnv()
+		if key != "" {
+			s.cmd.Env = append(s.cmd.Env, key+"="+val)
 		}
 
 		slog.Info("starting llama server", "cmd", s.cmd.String())
@@ -316,6 +301,19 @@ 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)
+		// 	s.Close()
+		// 	finalErr = err
+		// 	continue
+		// }
 		return s, nil
 	}
 
@@ -347,7 +345,7 @@ type ServerStatus int
 
 const ( // iota is reset to 0
 	ServerStatusReady ServerStatus = iota
-	ServerStatusNoSlotsAvailable
+	ServerStatusNoSlotsAvaialble
 	ServerStatusLoadingModel
 	ServerStatusNotResponding
 	ServerStatusError
@@ -357,7 +355,7 @@ func (s ServerStatus) ToString() string {
 	switch s {
 	case ServerStatusReady:
 		return "llm server ready"
-	case ServerStatusNoSlotsAvailable:
+	case ServerStatusNoSlotsAvaialble:
 		return "llm busy - no slots available"
 	case ServerStatusLoadingModel:
 		return "llm server loading model"
@@ -414,7 +412,7 @@ func (s *llmServer) getServerStatus(ctx context.Context) (ServerStatus, error) {
 	case "ok":
 		return ServerStatusReady, nil
 	case "no slot available":
-		return ServerStatusNoSlotsAvailable, nil
+		return ServerStatusNoSlotsAvaialble, nil
 	case "loading model":
 		return ServerStatusLoadingModel, nil
 	default:
@@ -422,29 +420,6 @@ func (s *llmServer) getServerStatus(ctx context.Context) (ServerStatus, error) {
 	}
 }
 
-// getServerStatusRetry will retry if ServerStatusNoSlotsAvailable is received
-func (s *llmServer) getServerStatusRetry(ctx context.Context) (ServerStatus, error) {
-	var retries int
-	for {
-		status, err := s.getServerStatus(ctx)
-		if err != nil {
-			return status, err
-		}
-
-		if status == ServerStatusNoSlotsAvailable {
-			if retries >= 10 {
-				return status, fmt.Errorf("no slots available after %d retries", retries)
-			}
-
-			time.Sleep(5 * time.Millisecond)
-			retries++
-			continue
-		}
-
-		return status, nil
-	}
-}
-
 func (s *llmServer) Ping(ctx context.Context) error {
 	_, err := s.getServerStatus(ctx)
 	if err != nil {
@@ -542,6 +517,7 @@ ws ::= ([ \t\n] ws)?
 `
 
 const maxBufferSize = 512 * format.KiloByte
+const maxRetries = 3
 
 type ImageData struct {
 	Data []byte `json:"data"`
@@ -617,7 +593,7 @@ func (s *llmServer) Completion(ctx context.Context, req CompletionRequest, fn fu
 	}
 
 	// Make sure the server is ready
-	status, err := s.getServerStatusRetry(ctx)
+	status, err := s.getServerStatus(ctx)
 	if err != nil {
 		return err
 	} else if status != ServerStatusReady {
@@ -631,113 +607,133 @@ func (s *llmServer) Completion(ctx context.Context, req CompletionRequest, fn fu
 		}
 	}
 
-	// Handling JSON marshaling with special characters unescaped.
-	buffer := &bytes.Buffer{}
-	enc := json.NewEncoder(buffer)
-	enc.SetEscapeHTML(false)
+	retryDelay := 100 * time.Microsecond
+	for retries := 0; retries < maxRetries; retries++ {
+		if retries > 0 {
+			time.Sleep(retryDelay) // wait before retrying
+			retryDelay *= 2        // exponential backoff
+		}
 
-	if err := enc.Encode(request); err != nil {
-		return fmt.Errorf("failed to marshal data: %v", err)
-	}
+		// Handling JSON marshaling with special characters unescaped.
+		buffer := &bytes.Buffer{}
+		enc := json.NewEncoder(buffer)
+		enc.SetEscapeHTML(false)
 
-	endpoint := fmt.Sprintf("http://127.0.0.1:%d/completion", s.port)
-	serverReq, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, buffer)
-	if err != nil {
-		return fmt.Errorf("error creating POST request: %v", err)
-	}
-	serverReq.Header.Set("Content-Type", "application/json")
+		if err := enc.Encode(request); err != nil {
+			return fmt.Errorf("failed to marshal data: %v", err)
+		}
 
-	res, err := http.DefaultClient.Do(serverReq)
-	if err != nil {
-		return fmt.Errorf("POST predict: %v", err)
-	}
-	defer res.Body.Close()
-
-	if res.StatusCode >= 400 {
-		bodyBytes, err := io.ReadAll(res.Body)
+		endpoint := fmt.Sprintf("http://127.0.0.1:%d/completion", s.port)
+		req, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, buffer)
 		if err != nil {
-			return fmt.Errorf("failed reading llm error response: %w", err)
+			return fmt.Errorf("error creating POST request: %v", err)
 		}
-		log.Printf("llm predict error: %s", bodyBytes)
-		return fmt.Errorf("%s", bodyBytes)
-	}
+		req.Header.Set("Content-Type", "application/json")
 
-	scanner := bufio.NewScanner(res.Body)
-	buf := make([]byte, 0, maxBufferSize)
-	scanner.Buffer(buf, maxBufferSize)
+		resp, err := http.DefaultClient.Do(req)
+		if err != nil {
+			return fmt.Errorf("POST predict: %v", err)
+		}
+		defer resp.Body.Close()
 
-	// keep track of the last token generated, this is used to abort if the model starts looping
-	var lastToken string
-	var tokenRepeat int
-
-	for scanner.Scan() {
-		select {
-		case <-ctx.Done():
-			// This handles the request cancellation
-			return ctx.Err()
-		default:
-			line := scanner.Bytes()
-			if len(line) == 0 {
-				continue
+		if resp.StatusCode >= 400 {
+			bodyBytes, err := io.ReadAll(resp.Body)
+			if err != nil {
+				return fmt.Errorf("failed reading llm error response: %w", err)
 			}
+			log.Printf("llm predict error: %s", bodyBytes)
+			return fmt.Errorf("%s", bodyBytes)
+		}
 
-			evt, ok := bytes.CutPrefix(line, []byte("data: "))
-			if !ok {
-				return fmt.Errorf("error parsing llm response stream: %s", line)
-			}
+		scanner := bufio.NewScanner(resp.Body)
+		buf := make([]byte, 0, maxBufferSize)
+		scanner.Buffer(buf, maxBufferSize)
 
-			var c completion
-			if err := json.Unmarshal(evt, &c); err != nil {
-				return fmt.Errorf("error unmarshaling llm prediction response: %v", err)
-			}
+		retryNeeded := false
+		// keep track of the last token generated, this is used to abort if the model starts looping
+		var lastToken string
+		var tokenRepeat int
 
-			switch {
-			case strings.TrimSpace(c.Content) == lastToken:
-				tokenRepeat++
-			default:
-				lastToken = strings.TrimSpace(c.Content)
-				tokenRepeat = 0
-			}
-
-			// 30 picked as an arbitrary max token repeat limit, modify as needed
-			if tokenRepeat > 30 {
-				slog.Debug("prediction aborted, token repeat limit reached")
+		for scanner.Scan() {
+			select {
+			case <-ctx.Done():
+				// This handles the request cancellation
 				return ctx.Err()
-			}
+			default:
+				line := scanner.Bytes()
+				if len(line) == 0 {
+					continue
+				}
 
-			if c.Content != "" {
-				fn(CompletionResponse{
-					Content: c.Content,
-				})
-			}
+				// try again on slot unavailable
+				if bytes.Contains(line, []byte("slot unavailable")) {
+					retryNeeded = true
+					break
+				}
 
-			if c.Stop {
-				fn(CompletionResponse{
-					Done:               true,
-					PromptEvalCount:    c.Timings.PromptN,
-					PromptEvalDuration: parseDurationMs(c.Timings.PromptMS),
-					EvalCount:          c.Timings.PredictedN,
-					EvalDuration:       parseDurationMs(c.Timings.PredictedMS),
-				})
-				return nil
+				evt, ok := bytes.CutPrefix(line, []byte("data: "))
+				if !ok {
+					return fmt.Errorf("error parsing llm response stream: %s", line)
+				}
+
+				var c completion
+				if err := json.Unmarshal(evt, &c); err != nil {
+					return fmt.Errorf("error unmarshaling llm prediction response: %v", err)
+				}
+
+				switch {
+				case strings.TrimSpace(c.Content) == lastToken:
+					tokenRepeat++
+				default:
+					lastToken = strings.TrimSpace(c.Content)
+					tokenRepeat = 0
+				}
+
+				// 30 picked as an arbitrary max token repeat limit, modify as needed
+				if tokenRepeat > 30 {
+					slog.Debug("prediction aborted, token repeat limit reached")
+					return ctx.Err()
+				}
+
+				if c.Content != "" {
+					fn(CompletionResponse{
+						Content: c.Content,
+					})
+				}
+
+				if c.Stop {
+					fn(CompletionResponse{
+						Done:               true,
+						PromptEvalCount:    c.Timings.PromptN,
+						PromptEvalDuration: parseDurationMs(c.Timings.PromptMS),
+						EvalCount:          c.Timings.PredictedN,
+						EvalDuration:       parseDurationMs(c.Timings.PredictedMS),
+					})
+					return nil
+				}
 			}
 		}
+
+		if err := scanner.Err(); err != nil {
+			if strings.Contains(err.Error(), "unexpected EOF") {
+				s.Close()
+				msg := ""
+				if s.status != nil && s.status.LastErrMsg != "" {
+					msg = s.status.LastErrMsg
+				}
+
+				return fmt.Errorf("an unknown error was encountered while running the model %s", msg)
+			}
+			return fmt.Errorf("error reading llm response: %v", err)
+		}
+
+		if !retryNeeded {
+			return nil // success
+		}
 	}
 
-	if err := scanner.Err(); err != nil {
-		if strings.Contains(err.Error(), "unexpected EOF") {
-			s.Close()
-			msg := ""
-			if s.status != nil && s.status.LastErrMsg != "" {
-				msg = s.status.LastErrMsg
-			}
-			return fmt.Errorf("an unknown error was encountered while running the model %s", msg)
-		}
-
-		return fmt.Errorf("error reading llm response: %v", err)
-	}
-
-	return nil
+	// should never reach here ideally
+	return fmt.Errorf("max retries exceeded")
 }
 
 type EmbeddingRequest struct {
@@ -754,9 +750,8 @@ func (s *llmServer) Embedding(ctx context.Context, prompt string) ([]float64, er
 		return nil, err
 	}
 	defer s.sem.Release(1)
-
 	// Make sure the server is ready
-	status, err := s.getServerStatusRetry(ctx)
+	status, err := s.getServerStatus(ctx)
 	if err != nil {
 		return nil, err
 	} else if status != ServerStatusReady {
@@ -811,7 +806,7 @@ func (s *llmServer) Tokenize(ctx context.Context, content string) ([]int, error)
 	status, err := s.getServerStatus(ctx)
 	if err != nil {
 		return nil, err
-	} else if status != ServerStatusReady && status != ServerStatusNoSlotsAvailable {
+	} else if status != ServerStatusReady && status != ServerStatusNoSlotsAvaialble {
 		return nil, fmt.Errorf("unexpected server status: %s", status.ToString())
 	}
 
@@ -863,7 +858,7 @@ func (s *llmServer) Detokenize(ctx context.Context, tokens []int) (string, error
 	status, err := s.getServerStatus(ctx)
 	if err != nil {
 		return "", err
-	} else if status != ServerStatusReady && status != ServerStatusNoSlotsAvailable {
+	} else if status != ServerStatusReady && status != ServerStatusNoSlotsAvaialble {
 		return "", fmt.Errorf("unexpected server status: %s", status.ToString())
 	}
 
@@ -905,13 +900,7 @@ 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

macapp/.eslintrc.json

@@ -1,16 +0,0 @@
-{
-  "env": {
-    "browser": true,
-    "es6": true,
-    "node": true
-  },
-  "extends": [
-    "eslint:recommended",
-    "plugin:@typescript-eslint/eslint-recommended",
-    "plugin:@typescript-eslint/recommended",
-    "plugin:import/recommended",
-    "plugin:import/electron",
-    "plugin:import/typescript"
-  ],
-  "parser": "@typescript-eslint/parser"
-}

macapp/.gitignore

@@ -1,92 +0,0 @@
-# Logs
-logs
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-lerna-debug.log*
-
-# Diagnostic reports (https://nodejs.org/api/report.html)
-report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
-
-# Runtime data
-pids
-*.pid
-*.seed
-*.pid.lock
-.DS_Store
-
-# Directory for instrumented libs generated by jscoverage/JSCover
-lib-cov
-
-# Coverage directory used by tools like istanbul
-coverage
-*.lcov
-
-# nyc test coverage
-.nyc_output
-
-# node-waf configuration
-.lock-wscript
-
-# Compiled binary addons (https://nodejs.org/api/addons.html)
-build/Release
-
-# Dependency directories
-node_modules/
-jspm_packages/
-
-# TypeScript v1 declaration files
-typings/
-
-# TypeScript cache
-*.tsbuildinfo
-
-# Optional npm cache directory
-.npm
-
-# Optional eslint cache
-.eslintcache
-
-# Optional REPL history
-.node_repl_history
-
-# Output of 'npm pack'
-*.tgz
-
-# Yarn Integrity file
-.yarn-integrity
-
-# dotenv environment variables file
-.env
-.env.test
-
-# parcel-bundler cache (https://parceljs.org/)
-.cache
-
-# next.js build output
-.next
-
-# nuxt.js build output
-.nuxt
-
-# vuepress build output
-.vuepress/dist
-
-# Serverless directories
-.serverless/
-
-# FuseBox cache
-.fusebox/
-
-# DynamoDB Local files
-.dynamodb/
-
-# Webpack
-.webpack/
-
-# Vite
-.vite/
-
-# Electron-Forge
-out/

macapp/README.md

@@ -1,21 +0,0 @@
-# Desktop
-
-This app builds upon Ollama to provide a desktop experience for running models.
-
-## Developing
-
-First, build the `ollama` binary:
-
-```
-cd ..
-go build .
-```
-
-Then run the desktop app with `npm start`:
-
-```
-cd macapp
-npm install
-npm start
-```
-