') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); GitHub - mybigday/codec.cpp: Neural audio codec inference in C/C++ · GitHub
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codec.cpp

Neural audio codec inference in C/C++

The main goal of codec.cpp is to enable neural audio codec inference with minimal setup and state-of-the-art performance on a wide range of hardware — locally and in the cloud. Supports Mimi, DAC, WavTokenizer with quantization and multi-backend GPU acceleration.

Quick Start

1. Convert Models to GGUF

cd scripts
# From HuggingFace
python convert-to-gguf.py --model-id kyutai/mimi --output mimi.gguf
# From local checkpoint
python convert-to-gguf.py --input-dir ./mimi-checkpoint --output mimi.gguf
# With quantization (Q4_K_M, Q5_K_M, Q8_0)
python convert-to-gguf.py --model-id kyutai/mimi --output mimi-q4.gguf --quantization Q4_K_M

2. Decode Audio

./build/codec-cli decode --model mimi.gguf --codes input.npy --out output.wav
# With GPU acceleration (if built with CUDA/Vulkan/Metal)
./build/codec-cli decode --model mimi.gguf --codes input.npy --out output.wav --use-gpu

Build with GPU Acceleration

CUDA (NVIDIA)

cmake -B build -DGGML_CUDA=ON
cmake --build build -j
./build/codec-cli --model model.gguf --codes in.npy --out out.wav --use-gpu

Vulkan (Cross-platform)

cmake -B build -DGGML_VULKAN=ON
cmake --build build -j

Metal (macOS)

cmake -B build -DGGML_METAL=ON
cmake --build build -j

SYCL (Intel GPUs)

cmake -B build -DGGML_SYCL=ON
cmake --build build -j

OpenCL

cmake -B build -DGGML_OPENCL=ON
cmake --build build -j

CANN (Ascend)

cmake -B build -DGGML_CANN=ON
cmake --build build -j

HIP/ROCm (AMD GPUs)

cmake -B build -DGGML_HIP=ON
cmake --build build -j

MUSA

cmake -B build -DGGML_MUSA=ON
cmake --build build -j

WebGPU

cmake -B build -DGGML_WEBGPU=ON
cmake --build build -j

zDNN

cmake -B build -DGGML_ZDNN=ON
cmake --build build -j

VirtGPU

cmake -B build -DGGML_VIRTGPU=ON
cmake --build build -j

Multiple backends (fallback chain)

cmake -B build -DGGML_CUDA=ON -DGGML_VULKAN=ON
cmake --build build -j
# Runtime auto-selects: CUDA > Vulkan > CPU

CPU-only (default)

cmake -B build
cmake --build build -j
./build/codec-cli --model model.gguf --codes in.npy --out out.wav

License

MIT

Built and maintained by BRICKS.

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Neural audio codec inference in C/C++

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cppggmlneural-audio-codec

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