Text Generation
GGUF
Japanese
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llama.cpp
Mixture of Experts
expert-pruning
intel-mac
cpu
local-agent
imatrix
conversational
Instructions to use miutti/intel-mac-local-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use miutti/intel-mac-local-llm with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf miutti/intel-mac-local-llm:UD-Q2_K_XL # Run inference directly in the terminal: llama cli -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf miutti/intel-mac-local-llm:UD-Q2_K_XL # Run inference directly in the terminal: llama cli -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf miutti/intel-mac-local-llm:UD-Q2_K_XL # Run inference directly in the terminal: ./llama-cli -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf miutti/intel-mac-local-llm:UD-Q2_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Use Docker
docker model run hf.co/miutti/intel-mac-local-llm:UD-Q2_K_XL
- LM Studio
- Jan
- vLLM
How to use miutti/intel-mac-local-llm with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "miutti/intel-mac-local-llm" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "miutti/intel-mac-local-llm", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/miutti/intel-mac-local-llm:UD-Q2_K_XL
- Ollama
How to use miutti/intel-mac-local-llm with Ollama:
ollama run hf.co/miutti/intel-mac-local-llm:UD-Q2_K_XL
- Unsloth Desktop
- Pi
How to use miutti/intel-mac-local-llm with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "miutti/intel-mac-local-llm:UD-Q2_K_XL" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use miutti/intel-mac-local-llm with Docker Model Runner:
docker model run hf.co/miutti/intel-mac-local-llm:UD-Q2_K_XL
- Lemonade
How to use miutti/intel-mac-local-llm with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull miutti/intel-mac-local-llm:UD-Q2_K_XL
Run and chat with the model
lemonade run user.intel-mac-local-llm-UD-Q2_K_XL
List all available models
lemonade list
- Hermes Agent
How to use miutti/intel-mac-local-llm with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default miutti/intel-mac-local-llm:UD-Q2_K_XL
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use miutti/intel-mac-local-llm with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "miutti/intel-mac-local-llm:UD-Q2_K_XL" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 6,316 Bytes
df41178 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 | // kernel_window.swift — カーネルの窓(WKWebView)。/Applications/カーネル.app/Contents/MacOS/kernel-window の元。
// 作り方: swiftc -O -o kernel-window kernel_window.swift -framework Cocoa -framework WebKit
// 10/3: 前の窓は元の文が残っておらず、メニューが無かった。macOS は「編集」メニューが無いと
// ⌘C・⌘V・⌘X・⌘A が WKWebView に届かず、コピー・貼り付けができなかった(本人)。メニューを付けて作り直した。
import Cocoa
import WebKit
final class Mado: NSObject, NSApplicationDelegate, NSWindowDelegate, WKNavigationDelegate, WKUIDelegate {
let url: URL
var window: NSWindow!
var web: WKWebView!
init(url: URL) { self.url = url }
func applicationDidFinishLaunching(_ notification: Notification) {
NSApp.mainMenu = menu()
let config = WKWebViewConfiguration()
config.preferences.setValue(true, forKey: "developerExtrasEnabled")
web = WKWebView(frame: .zero, configuration: config)
web.navigationDelegate = self
web.uiDelegate = self
window = NSWindow(contentRect: NSRect(x: 0, y: 0, width: 1180, height: 820),
styleMask: [.titled, .closable, .miniaturizable, .resizable],
backing: .buffered, defer: false)
window.title = "カーネル"
window.contentView = web
window.delegate = self
window.center()
window.setFrameAutosaveName("kernel-window")
window.makeKeyAndOrderFront(nil)
NSApp.activate(ignoringOtherApps: true)
web.load(URLRequest(url: url))
}
// ── メニュー(編集が無いと ⌘C・⌘V が効かない)──
func menu() -> NSMenu {
let main = NSMenu()
func add(_ title: String, _ items: [(String, Selector?, String)]) {
let top = NSMenuItem()
let sub = NSMenu(title: title)
for (name, action, key) in items {
if name == "-" { sub.addItem(.separator()); continue }
sub.addItem(NSMenuItem(title: name, action: action, keyEquivalent: key))
}
top.submenu = sub
main.addItem(top)
}
add("カーネル", [("カーネルを隠す", #selector(NSApplication.hide(_:)), "h"), ("-", nil, ""),
("カーネルを終了", #selector(NSApplication.terminate(_:)), "q")])
add("編集", [("取り消す", Selector(("undo:")), "z"), ("やり直す", Selector(("redo:")), "Z"), ("-", nil, ""),
("切り取り", #selector(NSText.cut(_:)), "x"), ("コピー", #selector(NSText.copy(_:)), "c"),
("貼り付け", #selector(NSText.paste(_:)), "v"), ("すべてを選択", #selector(NSText.selectAll(_:)), "a")])
add("表示", [("読み込み直す", #selector(reload), "r")])
add("ウインドウ", [("しまう", #selector(NSWindow.performMiniaturize(_:)), "m"),
("閉じる", #selector(NSWindow.performClose(_:)), "w")])
return main
}
@objc func reload() { web.reload() }
// ── 閉じたら終わる。Dock を押したら前に出す ──
func applicationShouldTerminateAfterLastWindowClosed(_ sender: NSApplication) -> Bool { true }
func applicationShouldHandleReopen(_ sender: NSApplication, hasVisibleWindows flag: Bool) -> Bool {
window.makeKeyAndOrderFront(nil)
return true
}
// ── うちのサーバー以外へ行くリンクは、ふだんのブラウザで開く ──
func webView(_ webView: WKWebView, decidePolicyFor action: WKNavigationAction,
decisionHandler: @escaping (WKNavigationActionPolicy) -> Void) {
if let target = action.request.url, action.navigationType == .linkActivated, target.host != url.host {
NSWorkspace.shared.open(target)
decisionHandler(.cancel)
return
}
decisionHandler(.allow)
}
func webView(_ webView: WKWebView, createWebViewWith configuration: WKWebViewConfiguration,
for action: WKNavigationAction, windowFeatures: WKWindowFeatures) -> WKWebView? {
if let target = action.request.url { NSWorkspace.shared.open(target) } // target="_blank"
return nil
}
// ── つながらない時は、何が起きたかを窓に出す(黙って白い窓にしない)──
func webView(_ webView: WKWebView, didFailProvisionalNavigation navigation: WKNavigation!, withError error: Error) {
FileHandle.standardError.write("kernel-window: 読み込み失敗: \(error.localizedDescription)\n".data(using: .utf8)!)
webView.loadHTMLString("""
<meta charset="utf-8"><body style="font-family:-apple-system;padding:2em">
<h2>うちうちのサーバーにつながりませんでした</h2>
<p>記録: <code>~/Library/Logs/kernel-ai.log</code></p>
<p>いったん閉じて、もう一度アイコンを押してみてください。</p></body>
""", baseURL: nil)
}
// ── confirm()・alert() も出す(前の窓では黙って false になっていた)──
func webView(_ webView: WKWebView, runJavaScriptAlertPanelWithMessage message: String,
initiatedByFrame frame: WKFrameInfo, completionHandler: @escaping () -> Void) {
let alert = NSAlert()
alert.messageText = message
alert.runModal()
completionHandler()
}
func webView(_ webView: WKWebView, runJavaScriptConfirmPanelWithMessage message: String,
initiatedByFrame frame: WKFrameInfo, completionHandler: @escaping (Bool) -> Void) {
let alert = NSAlert()
alert.messageText = message
alert.addButton(withTitle: "OK")
alert.addButton(withTitle: "やめる")
completionHandler(alert.runModal() == .alertFirstButtonReturn)
}
}
guard CommandLine.arguments.count >= 2, let url = URL(string: CommandLine.arguments[1]) else {
FileHandle.standardError.write("使い方: kernel-window <URL>\n".data(using: .utf8)!)
exit(2)
}
let app = NSApplication.shared
app.setActivationPolicy(.regular)
let mado = Mado(url: url)
app.delegate = mado
app.run()
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