Instructions to use MircoFox-AI/MeLlamFox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MircoFox-AI/MeLlamFox with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MircoFox-AI/MeLlamFox", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download index.html from MircoFox-AI/MeLlamFox: direct link, hf CLI and curl.
- Browser
- Download file 5.36 kB
-
https://huggingface.co/MircoFox-AI/MeLlamFox/resolve/main/index.html
- Command line
-
hf download hf://MircoFox-AI/MeLlamFox/index.html
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curl -L -o index.html https://huggingface.co/MircoFox-AI/MeLlamFox/resolve/main/index.html
5.36 kB
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>H-bot Model Manager & Chat</title> | |
| <style> | |
| body { font-family: -apple-system, sans-serif; background: #0f172a; color: #e2e8f0; padding: 20px; margin: 0; } | |
| .container { max-width: 900px; margin: 0 auto; display: grid; grid-template-columns: 1fr; gap: 20px; } | |
| .card { background: #1e293b; padding: 20px; border-radius: 12px; box-shadow: 0 4px 6px rgba(0,0,0,0.3); } | |
| h1, h2 { color: #38bdf8; margin-top: 0; } | |
| button { background: #38bdf8; color: #0f172a; border: none; padding: 10px 16px; border-radius: 6px; font-weight: bold; cursor: pointer; } | |
| button:hover { background: #0ea5e9; } | |
| /* Chat Box Styles */ | |
| .chat-box { background: #0f172a; border: 1px solid #334155; height: 300px; border-radius: 8px; padding: 15px; overflow-y: auto; margin-bottom: 15px; } | |
| .message { margin-bottom: 12px; padding: 8px 12px; border-radius: 8px; max-width: 80%; } | |
| .message.user { background: #38bdf8; color: #0f172a; margin-left: auto; text-align: right; } | |
| .message.bot { background: #334155; color: #e2e8f0; margin-right: auto; } | |
| .input-group { display: flex; gap: 10px; } | |
| .input-group input { flex: 1; background: #0f172a; border: 1px solid #334155; color: white; padding: 12px; border-radius: 6px; outline: none; } | |
| table { width: 100%; border-collapse: collapse; margin-top: 10px; } | |
| th, td { text-align: left; padding: 10px; border-bottom: 1px solid #334155; } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| <!-- Dashboard Header --> | |
| <div class="card"> | |
| <h1>🦊 H-bot Unified Studio</h1> | |
| <p>Connected Architecture status: <span id="backend-status" style="color: #ef4444; font-weight:bold;">Checking Engine...</span></p> | |
| <button onclick="checkBackendLink()">🔄 Check Connection</button> | |
| </div> | |
| <!-- Chat Playground Box --> | |
| <div class="card"> | |
| <h2>Llama 3.2 Live Chat Engine</h2> | |
| <div class="chat-box" id="chat-window"> | |
| <div class="message bot">System active. Type a prompt below to run text directly through the Python-Rust pipeline.</div> | |
| </div> | |
| <div class="input-group"> | |
| <input type="text" id="user-input" placeholder="Ask Llama 3.2 micro Fox anything..." onkeypress="handleKeyPress(event)"> | |
| <button onclick="sendMessage()">Send Message</button> | |
| </div> | |
| </div> | |
| </div> | |
| <script> | |
| const BACKEND_URL = "http://127.0.0.1:8000"; | |
| // Check if Python and Rust are working together on page load | |
| async function checkBackendLink() { | |
| const statusLabel = document.getElementById("backend-status"); | |
| try { | |
| const response = await fetch(`${BACKEND_URL}/`); | |
| const data = await response.json(); | |
| statusLabel.innerText = data.status_message; | |
| statusLabel.style.color = data.rust_loaded ? "#16a34a" : "#eab308"; | |
| } catch (error) { | |
| statusLabel.innerText = "Offline - Run main.py script"; | |
| statusLabel.style.color = #ef4444; | |
| } | |
| } | |
| // Bridge function: Sends string data across the HTTP connection | |
| async function sendMessage() { | |
| const inputField = document.getElementById("user-input"); | |
| const chatWindow = document.getElementById("chat-window"); | |
| const messageText = inputField.value.trim(); | |
| if (!messageText) return; | |
| // Append User message to UI | |
| chatWindow.innerHTML += `<div class="message user">${messageText}</div>`; | |
| inputField.value = ""; | |
| chatWindow.scrollTop = chatWindow.scrollHeight; | |
| // Create temporary bot loading element | |
| const loadingId = "load-" + Date.now(); | |
| chatWindow.innerHTML += `<div class="message bot" id="${loadingId}"><i>Processing weights via Rust...</i></div>`; | |
| chatWindow.scrollTop = chatWindow.scrollHeight; | |
| try { | |
| // Post command across the network bridge directly to Python | |
| const response = await fetch(`${BACKEND_URL}/api/chat`, { | |
| method: "POST", | |
| headers: { "Content-Type": "application/json" }, | |
| body: JSON.stringify({ prompt: messageText }) | |
| }); | |
| const data = await response.json(); | |
| // Replace loader with the true computation output | |
| document.getElementById(loadingId).innerHTML = data.response; | |
| } catch (error) { | |
| document.getElementById(loadingId).innerHTML = `<span style="color: #ef4444;">Bridge error. Failed to reach compiled binary.</span>`; | |
| } | |
| chatWindow.scrollTop = chatWindow.scrollHeight; | |
| } | |
| function handleKeyPress(e) { | |
| if (e.key === "Enter") sendMessage(); | |
| } | |
| // Run check immediately when the browser displays the layout | |
| window.onload = checkBackendLink; | |
| </script> | |
| <!-- Inside index.html --> | |
| <script src="app.js"></script> | |
| </body> | |
| </html> | |