File size: 7,240 Bytes
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license: apache-2.0
---
<!--
NORTH CODE QUANT - MODEL CARD TEMPLATE
Designed for GGUF Quantizations
-->
<style>
:root {
--nc-bg: #0f1115;
--nc-card: #161b22;
--nc-border: #30363d;
--nc-text-main: #e6edf3;
--nc-text-muted: #8b949e;
--nc-accent: #58a6ff;
--nc-accent-glow: rgba(88, 166, 255, 0.15);
--nc-code-bg: #0d1117;
--font-sans: -apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif;
--font-mono: ui-monospace, SFMono-Regular, "SF Mono", Menlo, Consolas, monospace;
}
.nc-container {
font-family: var(--font-sans);
color: var(--nc-text-main);
line-height: 1.6;
max-width: 900px;
margin: 0 auto;
padding: 2rem 1rem;
background-color: var(--nc-bg);
}
/* Typography & Links */
.nc-container h1 { font-size: 2.5rem; border-bottom: none; margin-bottom: 0.5rem; letter-spacing: -0.02em; }
.nc-container h2 { font-size: 1.5rem; margin-top: 2.5rem; border-bottom: 1px solid var(--nc-border); padding-bottom: 0.5rem; }
.nc-container h3 { font-size: 1.1rem; color: var(--nc-text-muted); text-transform: uppercase; letter-spacing: 0.05em; margin-top: 2rem;}
.nc-container a { color: var(--nc-accent); text-decoration: none; transition: opacity 0.2s; }
.nc-container a:hover { text-decoration: underline; }
/* Hero Section */
.nc-hero {
display: flex;
align-items: center;
gap: 1rem;
margin-bottom: 2rem;
}
.nc-badge {
background: var(--nc-accent-glow);
color: var(--nc-accent);
padding: 0.25rem 0.75rem;
border-radius: 999px;
font-size: 0.85rem;
font-weight: 600;
border: 1px solid rgba(88, 166, 255, 0.3);
}
/* Info Grid */
.nc-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
gap: 1rem;
margin: 1.5rem 0;
}
.nc-stat-card {
background: var(--nc-card);
border: 1px solid var(--nc-border);
border-radius: 8px;
padding: 1rem;
}
.nc-stat-label { font-size: 0.8rem; color: var(--nc-text-muted); display: block; margin-bottom: 0.25rem; }
.nc-stat-value { font-size: 1.1rem; font-weight: 600; color: var(--nc-text-main); }
/* Code Blocks */
.nc-code-block {
position: relative;
background: var(--nc-code-bg);
border: 1px solid var(--nc-border);
border-radius: 8px;
padding: 1rem;
margin: 1rem 0;
overflow-x: auto;
}
.nc-code-block code {
font-family: var(--font-mono);
font-size: 0.9rem;
color: #c9d1d9;
white-space: pre;
}
.nc-cli-label {
position: absolute;
top: 0.5rem;
right: 0.75rem;
font-size: 0.7rem;
color: var(--nc-text-muted);
text-transform: uppercase;
letter-spacing: 0.05em;
pointer-events: none;
}
/* GGUF Table */
.nc-table-wrapper { overflow-x: auto; margin: 1.5rem 0; border-radius: 8px; border: 1px solid var(--nc-border); }
table.nc-table { width: 100%; border-collapse: collapse; font-size: 0.9rem; }
table.nc-table th {
background: var(--nc-card);
text-align: left;
padding: 0.75rem 1rem;
color: var(--nc-text-muted);
font-weight: 600;
border-bottom: 1px solid var(--nc-border);
}
table.nc-table td { padding: 0.75rem 1rem; border-bottom: 1px solid var(--nc-border); }
table.nc-table tr:last-child td { border-bottom: none; }
table.nc-table tr:hover td { background: rgba(255,255,255,0.02); }
.nc-quant-tag {
font-family: var(--font-mono);
font-size: 0.8rem;
background: rgba(255,255,255,0.06);
padding: 0.15rem 0.4rem;
border-radius: 4px;
}
/* Disclaimer Box */
.nc-disclaimer {
margin-top: 3rem;
padding: 1rem;
border-left: 3px solid var(--nc-border);
color: var(--nc-text-muted);
font-size: 0.85rem;
}
/* Responsive */
@media (max-width: 600px) {
.nc-container h1 { font-size: 1.8rem; }
.nc-grid { grid-template-columns: 1fr 1fr; }
}
</style>
<div class="nc-container">
<!-- HERO -->
<div class="nc-hero">
<h1>North Code Quant</h1>
<span class="nc-badge">GGUF</span>
<span class="nc-badge">Code Generation</span>
</div>
<p style="color: var(--nc-text-muted); font-size: 1.1rem; margin-top: -1rem;">
High-performance quantized GGUF builds of Cohere's North Code model.<br>
Optimized for local inference via llama.cpp, LM Studio, and Ollama.
</p>
<!-- KEY STATS -->
<div class="nc-grid">
<div class="nc-stat-card">
<span class="nc-stat-label">Base Model</span>
<span class="nc-stat-value">Cohere North Code</span>
</div>
<div class="nc-stat-card">
<span class="nc-stat-label">Architecture</span>
<span class="nc-stat-value">Cohere / Command-R</span>
</div>
<div class="nc-stat-card">
<span class="nc-stat-label">Context Length</span>
<span class="nc-stat-value">128K Tokens</span>
</div>
<div class="nc-stat-card">
<span class="nc-stat-label">License</span>
<span class="nc-stat-value">CC-BY-NC / Custom</span>
</div>
</div>
<!-- QUICK START -->
<h2>⚡ Quick Start</h2>
<h3>LM Studio</h3>
<p style="color: var(--nc-text-muted); font-size: 0.95rem;">
Search for <strong>"North Code Quant"</strong> in the LM Studio search bar, select your preferred quantization level from the sidebar, and click Download.
</p>
<h3>llama.cpp</h3>
<div class="nc-code-block">
<span class="nc-cli-label">Bash</span>
<code>./llama-cli -m north-code-quant-Q4_K_M.gguf \
--ctx-size 8192 \
--threads $(nproc) \
--prompt "def fibonacci(n):"</code>
</div>
<!-- AVAILABLE QUANTS -->
<h2>📦 Available Quants</h2>
<p style="color: var(--nc-text-muted); margin-bottom: 1rem;">
Files are sorted by size and quality. <strong>Q4_K_M</strong> is recommended for most users as the best balance of speed and perplexity.
</p>
<div class="nc-table-wrapper">
<table class="nc-table">
<thead>
<tr>
<th>File Name</th>
<th>Quant Type</th>
<th>Size</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<!-- UPDATE THESE ROWS WITH YOUR ACTUAL FILES -->
<tr>
<td><code>North-Code-Quant.gguf</code></td>
<td><span class="nc-quant-tag">Q8_0</span></td>
<td>-- GB</td>
<td>Near-lossless. Best quality, higher VRAM/RAM requirement.</td>
</tr>
</tbody>
</table>
</div>
<!-- MODEL DETAILS -->
<h2>📝 About This Quantization</h2>
<p>
These GGUF files were converted from the official
<a href="https://huggingface.co/CohereForAI/c4ai-command-r-plus" target="_blank">Cohere North Code</a>
weights using <code>llama.cpp</code> with importance matrix calibration for optimal token-level precision retention.
</p>
<!-- DISCLAIMER -->
<div class="nc-disclaimer">
<strong>⚠️ Disclaimer:</strong> This is a quantized derivative model. While quants retain most of the base model's capabilities,
lower-bit quantizations may exhibit degraded performance in edge-case code generation or multilingual tasks.
Always verify generated code before execution. This model inherits the license terms of the original Cohere North Code model.
</div>
</div> |