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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>DGX Model Manager · Documentation</title>
<link rel="icon" type="image/png" href="/favicon.png">
<link rel="preconnect" href="https://fonts.googleapis.com">
<link
href="https://fonts.googleapis.com/css2?family=Chakra+Petch:wght@400;500;600;700&family=JetBrains+Mono:wght@400;500;600&family=DM+Sans:ital,wght@0,300;0,400;0,500;1,300&display=swap"
rel="stylesheet">
<style>
:root {
--bg: #07080b;
--s1: #0d0f14;
--s2: #131620;
--s3: #1a1e2c;
--border: #1e2234;
--border2: #2a3050;
--text: #c8cce0;
--muted: #565c80;
--dim: #363c58;
--amber: #f0a034;
--amber2: #b87820;
--amber-lo: rgba(240, 160, 52, .08);
--green: #3dba78;
--red: #e05050;
--blue: #5a9af5;
--teal: #3ab8c8;
--display: 'Chakra Petch', sans-serif;
--mono: 'JetBrains Mono', monospace;
--body: 'DM Sans', sans-serif;
--sidebar-w: 240px;
}
*,
*::before,
*::after {
box-sizing: border-box;
margin: 0;
padding: 0;
}
html {
scroll-behavior: smooth;
}
body {
background: var(--bg);
color: var(--text);
font-family: var(--body);
font-size: 14px;
line-height: 1.65;
min-height: 100vh;
}
/* Grid texture overlay */
body::before {
content: '';
position: fixed;
inset: 0;
background-image:
linear-gradient(rgba(30, 34, 52, .4) 1px, transparent 1px),
linear-gradient(90deg, rgba(30, 34, 52, .4) 1px, transparent 1px);
background-size: 40px 40px;
pointer-events: none;
z-index: 0;
}
/* ── TOP NAV ── */
.topnav {
position: fixed;
top: 0;
left: 0;
right: 0;
height: 50px;
background: rgba(7, 8, 11, .92);
border-bottom: 1px solid var(--border);
backdrop-filter: blur(8px);
display: flex;
align-items: center;
padding: 0 24px;
gap: 20px;
z-index: 100;
}
.topnav-brand {
font-family: var(--display);
font-size: 12px;
font-weight: 700;
letter-spacing: .14em;
color: var(--amber);
text-transform: uppercase;
text-decoration: none;
}
.topnav-sep {
width: 1px;
height: 20px;
background: var(--border);
}
.topnav-title {
font-family: var(--mono);
font-size: 11px;
color: var(--muted);
letter-spacing: .06em;
}
.topnav-right {
margin-left: auto;
}
.topnav-link {
font-family: var(--mono);
font-size: 11px;
color: var(--muted);
text-decoration: none;
padding: 5px 12px;
border: 1px solid var(--border);
border-radius: 5px;
transition: all .15s;
}
.topnav-link:hover {
color: var(--amber);
border-color: var(--amber);
}
/* ── LAYOUT ── */
.layout {
display: flex;
margin-top: 50px;
min-height: calc(100vh - 50px);
position: relative;
z-index: 1;
}
/* ── SIDEBAR ── */
.sidebar {
width: var(--sidebar-w);
flex-shrink: 0;
position: fixed;
top: 50px;
bottom: 0;
left: 0;
overflow-y: auto;
border-right: 1px solid var(--border);
background: var(--s1);
padding: 24px 0 40px;
}
.sidebar-section {
margin-bottom: 6px;
}
.sidebar-label {
font-family: var(--mono);
font-size: 9px;
font-weight: 600;
letter-spacing: .16em;
text-transform: uppercase;
color: var(--dim);
padding: 10px 20px 4px;
}
.sidebar-link {
display: flex;
align-items: center;
gap: 8px;
padding: 6px 20px;
font-size: 12px;
color: var(--muted);
text-decoration: none;
border-left: 2px solid transparent;
transition: all .12s;
line-height: 1.4;
}
.sidebar-link:hover {
color: var(--text);
background: var(--s2);
}
.sidebar-link.active {
color: var(--amber);
border-left-color: var(--amber);
background: var(--amber-lo);
}
.sidebar-link .num {
font-family: var(--mono);
font-size: 9px;
color: var(--dim);
flex-shrink: 0;
width: 18px;
}
/* ── MAIN CONTENT ── */
.content {
margin-left: var(--sidebar-w);
flex: 1;
max-width: 860px;
padding: 48px 48px 100px;
}
/* ── SECTIONS ── */
.doc-section {
margin-bottom: 72px;
animation: fadein .3s ease both;
}
@keyframes fadein {
from {
opacity: 0;
transform: translateY(8px);
}
to {
opacity: 1;
transform: none;
}
}
/* Section eyebrow */
.eyebrow {
font-family: var(--mono);
font-size: 10px;
font-weight: 600;
letter-spacing: .18em;
text-transform: uppercase;
color: var(--amber);
margin-bottom: 8px;
display: flex;
align-items: center;
gap: 10px;
}
.eyebrow::after {
content: '';
flex: 0 0 40px;
height: 1px;
background: var(--amber2);
opacity: .5;
}
/* Section title */
.doc-section h2 {
font-family: var(--display);
font-size: 26px;
font-weight: 700;
letter-spacing: -.01em;
color: #e8eaf8;
margin-bottom: 14px;
line-height: 1.2;
}
.doc-section h3 {
font-family: var(--display);
font-size: 14px;
font-weight: 600;
letter-spacing: .04em;
color: #b0b4d0;
text-transform: uppercase;
margin: 28px 0 10px;
display: flex;
align-items: center;
gap: 8px;
}
.doc-section h3::after {
content: '';
flex: 1;
height: 1px;
background: var(--border);
}
.doc-section p {
color: var(--text);
margin-bottom: 14px;
max-width: 680px;
font-size: 14px;
font-weight: 300;
line-height: 1.75;
}
.doc-section p code,
li code {
font-family: var(--mono);
font-size: 12px;
color: var(--amber);
background: rgba(240, 160, 52, .1);
border: 1px solid rgba(240, 160, 52, .2);
padding: 1px 5px;
border-radius: 3px;
}
/* ── HERO ── */
.hero {
padding: 0 0 48px;
border-bottom: 1px solid var(--border);
margin-bottom: 56px;
}
.hero-tag {
font-family: var(--mono);
font-size: 10px;
font-weight: 600;
letter-spacing: .18em;
text-transform: uppercase;
color: var(--amber);
margin-bottom: 16px;
display: flex;
align-items: center;
gap: 8px;
}
.hero-tag::before {
content: '';
width: 20px;
height: 1px;
background: var(--amber);
}
.hero h1 {
font-family: var(--display);
font-size: 42px;
font-weight: 700;
letter-spacing: -.02em;
line-height: 1.1;
color: #f0f2ff;
margin-bottom: 16px;
}
.hero h1 span {
color: var(--amber);
}
.hero-sub {
font-size: 15px;
font-weight: 300;
color: var(--muted);
max-width: 560px;
line-height: 1.7;
margin-bottom: 28px;
}
/* ── ARCH DIAGRAM ── */
.arch {
background: var(--s1);
border: 1px solid var(--border);
border-radius: 10px;
padding: 24px;
margin: 20px 0;
font-family: var(--mono);
font-size: 11px;
overflow-x: auto;
}
.arch-row {
display: flex;
align-items: center;
gap: 8px;
margin-bottom: 8px;
flex-wrap: wrap;
}
.arch-box {
border: 1px solid var(--border2);
border-radius: 5px;
padding: 6px 12px;
background: var(--s2);
color: var(--text);
white-space: nowrap;
font-size: 11px;
}
.arch-box.client {
border-color: #2a3050;
color: #8090c0;
}
.arch-box.gateway {
border-color: var(--amber2);
color: var(--amber);
background: rgba(240, 160, 52, .06);
padding: 8px 20px;
font-weight: 600;
}
.arch-box.backend {
border-color: #1a3028;
color: #6cc898;
background: rgba(60, 186, 120, .06);
}
.arch-arrow {
color: var(--dim);
font-size: 16px;
}
.arch-label {
font-size: 9px;
letter-spacing: .1em;
text-transform: uppercase;
color: var(--dim);
margin-bottom: 6px;
}
.arch-center {
display: flex;
justify-content: center;
margin: 6px 0;
}
/* ── CALLOUTS ── */
.callout {
border-left: 3px solid var(--border2);
background: var(--s2);
border-radius: 0 6px 6px 0;
padding: 12px 16px;
margin: 16px 0;
font-size: 13px;
line-height: 1.65;
}
.callout.tip {
border-color: var(--green);
}
.callout.warn {
border-color: var(--amber);
}
.callout.info {
border-color: var(--blue);
}
.callout-label {
font-family: var(--mono);
font-size: 9px;
font-weight: 600;
letter-spacing: .14em;
text-transform: uppercase;
margin-bottom: 5px;
}
.callout.tip .callout-label {
color: var(--green);
}
.callout.warn .callout-label {
color: var(--amber);
}
.callout.info .callout-label {
color: var(--blue);
}
.callout p {
margin-bottom: 0;
font-size: 13px;
max-width: none;
}
/* ── CODE BLOCKS ── */
.code-wrap {
border: 1px solid var(--border);
border-radius: 7px;
overflow: hidden;
margin: 14px 0;
}
.code-header {
display: flex;
align-items: center;
padding: 7px 14px;
background: var(--s2);
border-bottom: 1px solid var(--border);
gap: 8px;
}
.code-title {
font-family: var(--mono);
font-size: 10px;
color: var(--muted);
letter-spacing: .06em;
flex: 1;
}
.copy-btn {
font-family: var(--mono);
font-size: 9px;
font-weight: 600;
letter-spacing: .08em;
text-transform: uppercase;
color: var(--muted);
background: none;
border: 1px solid var(--border);
border-radius: 4px;
padding: 2px 8px;
cursor: pointer;
transition: all .12s;
}
.copy-btn:hover {
color: var(--amber);
border-color: var(--amber);
}
.code-body {
background: #04050a;
padding: 14px 16px;
font-family: var(--mono);
font-size: 12px;
line-height: 1.85;
color: #a0a8c8;
overflow-x: auto;
white-space: pre;
}
.code-body .cm {
color: var(--dim);
}
.code-body .ck {
color: var(--teal);
}
.code-body .cv {
color: #8898e0;
}
.code-body .cs {
color: #7cc8a0;
}
.code-body .ca {
color: var(--amber);
}
/* ── MODEL TABLE ── */
.model-table-wrap {
border: 1px solid var(--border);
border-radius: 8px;
overflow: hidden;
margin: 16px 0;
}
.model-table {
width: 100%;
border-collapse: collapse;
}
.model-table th {
font-family: var(--mono);
font-size: 9px;
font-weight: 600;
letter-spacing: .14em;
text-transform: uppercase;
color: var(--dim);
background: var(--s2);
padding: 9px 14px;
text-align: left;
border-bottom: 1px solid var(--border);
}
.model-table td {
padding: 10px 14px;
border-bottom: 1px solid var(--border);
font-size: 13px;
vertical-align: top;
}
.model-table tr:last-child td {
border-bottom: none;
}
.model-table tr:hover td {
background: var(--s2);
}
.model-table td:first-child {
font-family: var(--mono);
font-size: 12px;
color: var(--amber);
white-space: nowrap;
}
.rec-badge {
display: inline-block;
padding: 1px 7px;
border-radius: 3px;
font-family: var(--mono);
font-size: 9px;
font-weight: 600;
letter-spacing: .06em;
text-transform: uppercase;
}
.rec-star {
background: #1e1400;
color: #d09030;
border: 1px solid #2e2000;
}
.rec-fit {
background: #0a1e14;
color: #4caf7d;
border: 1px solid #0e2a1c;
}
.rec-big {
background: #0a1020;
color: #5a7adf;
border: 1px solid #0e1830;
}
/* ── STEP LIST ── */
.steps {
margin: 16px 0;
}
.step {
display: flex;
gap: 16px;
margin-bottom: 16px;
}
.step-num {
width: 26px;
height: 26px;
border-radius: 50%;
background: var(--s2);
border: 1px solid var(--border2);
font-family: var(--mono);
font-size: 11px;
font-weight: 600;
color: var(--amber);
display: flex;
align-items: center;
justify-content: center;
flex-shrink: 0;
margin-top: 2px;
}
.step-body {
flex: 1;
}
.step-title {
font-family: var(--display);
font-size: 13px;
font-weight: 600;
color: #d0d4f0;
margin-bottom: 4px;
letter-spacing: .02em;
}
.step-desc {
font-size: 13px;
color: var(--muted);
line-height: 1.65;
}
/* ── PARAM TABLE ── */
.param-table {
width: 100%;
border-collapse: collapse;
margin: 14px 0;
}
.param-table td {
padding: 8px 12px;
border-bottom: 1px solid var(--border);
font-size: 13px;
vertical-align: top;
}
.param-table tr:last-child td {
border-bottom: none;
}
.param-table td:first-child {
font-family: var(--mono);
font-size: 11px;
color: var(--teal);
white-space: nowrap;
width: 180px;
}
.param-table td:last-child {
color: var(--muted);
}
/* ── SCROLLBAR ── */
::-webkit-scrollbar {
width: 5px;
}
::-webkit-scrollbar-track {
background: transparent;
}
::-webkit-scrollbar-thumb {
background: var(--border2);
border-radius: 3px;
}
/* ── FOOTER ── */
.footer {
margin-top: 80px;
padding-top: 24px;
border-top: 1px solid var(--border);
font-family: var(--mono);
font-size: 10px;
color: var(--dim);
letter-spacing: .06em;
display: flex;
justify-content: space-between;
}
/* ── Live config values ── */
.live {
background: rgba(240, 160, 52, .12);
border-radius: 3px;
padding: 0 3px;
border-bottom: 1px solid rgba(240, 160, 52, .35);
transition: background .3s;
}
.live.loaded {
background: rgba(240, 160, 52, .18);
}
</style>
</head>
<body>
<nav class="topnav">
<a class="topnav-brand" href="/">DGX</a>
<div class="topnav-sep"></div>
<span class="topnav-title">Model Manager · Documentation</span>
<div class="topnav-right">
<a class="topnav-link" href="/">← Back to App</a>
</div>
</nav>
<div class="layout">
<!-- SIDEBAR -->
<nav class="sidebar">
<div class="sidebar-section">
<div class="sidebar-label">Overview</div>
<a class="sidebar-link active" href="#overview"><span class="num">00</span>Introduction</a>
<a class="sidebar-link" href="#architecture"><span class="num">01</span>Architecture</a>
</div>
<div class="sidebar-section">
<div class="sidebar-label">Model Management</div>
<a class="sidebar-link" href="#ollama"><span class="num">02</span>Ollama Models</a>
<a class="sidebar-link" href="#inventory"><span class="num">03</span>Model Inventory</a>
<a class="sidebar-link" href="#hf-browse"><span class="num">04</span>HF Browse</a>
<a class="sidebar-link" href="#hf"><span class="num">05</span>HF Download</a>
</div>
<div class="sidebar-section">
<div class="sidebar-label">Services</div>
<a class="sidebar-link" href="#litellm"><span class="num">06</span>LiteLLM Routing</a>
<a class="sidebar-link" href="#engines"><span class="num">07</span>Inference Engines</a>
<a class="sidebar-link" href="#profiles"><span class="num">08</span>Engine Profiles</a>
</div>
<div class="sidebar-section">
<div class="sidebar-label">System</div>
<a class="sidebar-link" href="#settings"><span class="num">09</span>Settings</a>
<a class="sidebar-link" href="#security"><span class="num">10</span>Security</a>
<a class="sidebar-link" href="#diagnostics"><span class="num">11</span>Logs & Debug</a>
</div>
<div class="sidebar-section">
<div class="sidebar-label">Reference</div>
<a class="sidebar-link" href="#models"><span class="num">12</span>Model Recommendations</a>
<a class="sidebar-link" href="#troubleshooting"><span class="num">13</span>Troubleshooting</a>
</div>
</nav>
<!-- CONTENT -->
<main class="content">
<!-- HERO -->
<div class="hero" id="overview">
<div class="hero-tag">DGX Model Manager · Field Manual</div>
<h1>Model<br><span>Management</span><br>Reference</h1>
<p class="hero-sub">A unified interface for managing AI models and inference engines on the NVIDIA DGX Spark.
Pull Ollama models, browse HuggingFace, manage your local model inventory, route through LiteLLM, and control
SGLang, vLLM, llama.cpp, LocalAI, and ComfyUI — all from one browser tab.</p>
</div>
<!-- ARCHITECTURE -->
<div class="doc-section" id="architecture">
<div class="eyebrow">01 — Overview</div>
<h2>How the Stack Fits Together</h2>
<p>Every inference request on your device flows through one of several paths. LiteLLM sits in front of
OpenAI-compatible backends and presents a single unified API at <code class="live" data-svc="litellm"
data-fmt="port">:4000</code> to all clients. Specialized engines like ComfyUI have their own web interface.
</p>
<div class="arch">
<div class="arch-label">Clients</div>
<div class="arch-row">
<div class="arch-box client">Your Agents</div>
<div class="arch-box client">Open WebUI</div>
<div class="arch-box client">Python scripts</div>
<div class="arch-box client">Any OpenAI client</div>
</div>
<div class="arch-row" style="margin:8px 0 8px 0;justify-content:center">
<span class="arch-arrow" style="font-size:13px;color:var(--dim)">▼ all send to <span class="live"
data-svc="litellm" data-fmt="port">:4000</span>/v1 ▼</span>
</div>
<div class="arch-center">
<div class="arch-box gateway">LiteLLM Proxy · <span class="live" data-svc="litellm"
data-fmt="port">:4000</span></div>
</div>
<div class="arch-row" style="margin:8px 0 4px 0;justify-content:center;gap:20px">
<span class="arch-arrow">↙</span>
<span class="arch-arrow">↓</span>
<span class="arch-arrow">↓</span>
<span class="arch-arrow">↓</span>
<span class="arch-arrow">↘</span>
</div>
<div class="arch-row" style="justify-content:center;gap:16px;flex-wrap:wrap">
<div style="text-align:center">
<div class="arch-box backend">SGLang · <span class="live" data-svc="sglang" data-fmt="port">:30000</span>
</div>
<div style="font-size:9px;color:var(--dim);margin-top:4px">Large models</div>
</div>
<div style="text-align:center">
<div class="arch-box backend">vLLM · <span class="live" data-svc="vllm" data-fmt="port">:8000</span></div>
<div style="font-size:9px;color:var(--dim);margin-top:4px">Large models</div>
</div>
<div style="text-align:center">
<div class="arch-box backend">Ollama · <span class="live" data-svc="ollama" data-fmt="port">:11434</span>
</div>
<div style="font-size:9px;color:var(--dim);margin-top:4px">Small/medium</div>
</div>
<div style="text-align:center">
<div class="arch-box backend">llama.cpp · <span class="live" data-svc="llamacpp"
data-fmt="port">:8080</span></div>
<div style="font-size:9px;color:var(--dim);margin-top:4px">GGUF models</div>
</div>
<div style="text-align:center">
<div class="arch-box backend">LocalAI · <span class="live" data-svc="localai" data-fmt="port">:9090</span>
</div>
<div style="font-size:9px;color:var(--dim);margin-top:4px">Multi-modal</div>
</div>
</div>
<div class="arch-row" style="justify-content:center;margin-top:12px">
<div style="text-align:center">
<div class="arch-box backend" style="border-color:#2a2040;color:#a080d0;background:rgba(120,80,200,.06)">
ComfyUI · <span class="live" data-svc="comfyui" data-fmt="port">:8188</span></div>
<div style="font-size:9px;color:var(--dim);margin-top:4px">Image gen (own web UI)</div>
</div>
</div>
</div>
<p>The Model Manager app (<code class="live" data-svc="app" data-fmt="port">:8090</code>) sits alongside this
stack and gives you a GUI to control it — it never sits in the request path. It talks to each service's API
and to Docker directly to manage container lifecycle.</p>
<div class="callout info">
<div class="callout-label">Key principle</div>
<p>Engines like SGLang and vLLM are each dedicated to one large model at a time and take ~5 minutes to load.
Ollama handles smaller models and can switch instantly. ComfyUI has its own web interface for image
generation workflows. Use the right tool for the right job.</p>
</div>
</div>
<!-- OLLAMA -->
<div class="doc-section" id="ollama">
<div class="eyebrow">02 — Model Management</div>
<h2>Ollama Models</h2>
<p>The Ollama tab is your primary model store. Pull any model from the Ollama library by name, see what's
installed with disk usage, and delete models you no longer need.</p>
<h3>Pulling a Model</h3>
<div class="steps">
<div class="step">
<div class="step-num">1</div>
<div class="step-body">
<div class="step-title">Type the model name</div>
<div class="step-desc">Enter the model name in the pull box — use the exact names from
<code>ollama.com/library</code>. Include the tag for a specific size, e.g. <code>qwen2.5:7b</code>.
Without a tag, Ollama pulls the default (usually the smallest).
</div>
</div>
</div>
<div class="step">
<div class="step-num">2</div>
<div class="step-body">
<div class="step-title">Watch the progress bar</div>
<div class="step-desc">The bar shows live download progress with MB counts. Large models (30B+) can take
several minutes depending on your connection. Don't close the tab.</div>
</div>
</div>
<div class="step">
<div class="step-num">3</div>
<div class="step-body">
<div class="step-title">Model appears in the grid</div>
<div class="step-desc">The installed models grid refreshes automatically when the pull completes. If
LiteLLM wildcard routing is active, the model is immediately available to all apps at <code class="live"
data-svc="litellm" data-fmt="port">:4000</code>.</div>
</div>
</div>
</div>
<h3>Model Name Format</h3>
<div class="code-wrap">
<div class="code-header"><span class="code-title">Model name patterns</span></div>
<div class="code-body"><span class="cm"># Name only — pulls default (smallest) tag</span>
llama3.2
phi4
gemma3
<span class="cm"># Name:tag — pulls specific size</span>
qwen2.5:7b
qwen2.5:32b
qwen2.5-coder:32b
deepseek-r1:14b
<span class="cm"># Quantization variant</span>
qwen2.5:32b-instruct-q4_K_M
<span class="cm"># Check available tags at:</span>
<span class="cm"># https://ollama.com/library/<model-name></span>
</div>
</div>
<h3>Deleting a Model</h3>
<p>Click the <code>✕</code> button on any model card. You'll be asked to confirm — deletion is permanent and
frees the disk space immediately. The model list refreshes automatically.</p>
<div class="callout warn">
<div class="callout-label">VRAM headroom</div>
<p>A large model running via SGLang or vLLM can use ~97 GB or more of the 128 GB unified memory. That may
leave only ~31 GB for Ollama models. Keep this in mind when pulling large models — stop the engine first if
you want to run a 30B+ model via Ollama.</p>
</div>
</div>
<!-- INVENTORY -->
<div class="doc-section" id="inventory">
<div class="eyebrow">03 — Model Management</div>
<h2>Model Inventory</h2>
<p>The Inventory tab provides a unified view of every model on your device — HuggingFace cache models, custom
directory models, and Ollama models — all in one searchable, filterable table.</p>
<h3>Browsing Your Models</h3>
<p>The table shows each model's name, task type, format, dtype, parameter count, disk size, source, and any
engine profile that references it. Use the toolbar to narrow the view:</p>
<div class="steps">
<div class="step">
<div class="step-num">1</div>
<div class="step-body">
<div class="step-title">Search</div>
<div class="step-desc">Type any part of a model name or owner in the search box. Results filter in
real-time as you type.</div>
</div>
</div>
<div class="step">
<div class="step-num">2</div>
<div class="step-body">
<div class="step-title">Filter by Source / Format / Task</div>
<div class="step-desc">Use the dropdowns to show only HF Cache, Custom Dir, or Ollama models. Filter by
format (safetensors, GGUF, PyTorch) or task type (Text Gen, Vision LLM, Embedding, TTS, etc.).</div>
</div>
</div>
<div class="step">
<div class="step-num">3</div>
<div class="step-body">
<div class="step-title">Sort</div>
<div class="step-desc">Sort the table by Name, Size, or Parameter count using the sort dropdown.</div>
</div>
</div>
</div>
<h3>HuggingFace Enrichment</h3>
<p>Click <strong>Fetch HF Info</strong> to enrich all HF-sourced models with metadata from HuggingFace: pipeline
tags, download counts, and likes. This data is cached locally for 7 days to avoid rate limiting.</p>
<h3>Custom Directories</h3>
<p>Expand the <strong>Custom Directories</strong> section to add any folder on your device to the inventory
scan. Models in custom directories appear alongside HF cache models with a "Custom" source badge. Useful for
models stored outside the default HF cache location.</p>
<div class="callout info">
<div class="callout-label">Stats bar</div>