Buckets:
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Unsloth Public Collections on Hugging Face</title> | |
| <style> | |
| :root { | |
| --color-primary: #2563eb; | |
| --color-primary-dark: #1d4ed8; | |
| --color-accent: #f59e0b; | |
| --color-bg: #f8fafc; | |
| --color-surface: #ffffff; | |
| --color-text: #0f172a; | |
| --color-text-muted: #64748b; | |
| --color-border: #e2e8f0; | |
| --radius: 12px; | |
| --shadow: 0 1px 3px rgba(0,0,0,0.1), 0 1px 2px rgba(0,0,0,0.06); | |
| --shadow-lg: 0 10px 15px -3px rgba(0,0,0,0.1), 0 4px 6px -2px rgba(0,0,0,0.05); | |
| } | |
| * { box-sizing: border-box; } | |
| body { | |
| margin: 0; | |
| font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif; | |
| background: var(--color-bg); | |
| color: var(--color-text); | |
| line-height: 1.6; | |
| } | |
| .container { | |
| max-width: 960px; | |
| margin: 0 auto; | |
| padding: 40px 20px; | |
| } | |
| header { margin-bottom: 32px; } | |
| .eyebrow { | |
| color: var(--color-primary); | |
| font-weight: 700; | |
| font-size: 0.8rem; | |
| text-transform: uppercase; | |
| letter-spacing: 0.06em; | |
| margin-bottom: 8px; | |
| } | |
| h1 { | |
| margin: 0 0 12px 0; | |
| font-size: 2.25rem; | |
| line-height: 1.15; | |
| font-weight: 800; | |
| } | |
| .subtitle { | |
| color: var(--color-text-muted); | |
| font-size: 1.125rem; | |
| margin: 0; | |
| } | |
| .answer-card { | |
| background: linear-gradient(135deg, var(--color-primary) 0%, var(--color-primary-dark) 100%); | |
| color: white; | |
| border-radius: var(--radius); | |
| padding: 28px; | |
| margin-bottom: 32px; | |
| box-shadow: var(--shadow-lg); | |
| } | |
| .answer-card h2 { | |
| margin: 0 0 10px 0; | |
| font-size: 1.35rem; | |
| font-weight: 700; | |
| } | |
| .answer-card p { | |
| margin: 0; | |
| font-size: 1.15rem; | |
| opacity: 0.95; | |
| } | |
| .answer-card strong { font-weight: 800; } | |
| .stats-grid { | |
| display: grid; | |
| grid-template-columns: repeat(auto-fit, minmax(190px, 1fr)); | |
| gap: 16px; | |
| margin-bottom: 32px; | |
| } | |
| .stat-card { | |
| background: var(--color-surface); | |
| border-radius: var(--radius); | |
| padding: 20px; | |
| box-shadow: var(--shadow); | |
| border: 1px solid var(--color-border); | |
| transition: transform 0.15s ease, box-shadow 0.15s ease; | |
| } | |
| .stat-card:hover { | |
| transform: translateY(-2px); | |
| box-shadow: var(--shadow-lg); | |
| } | |
| .stat-label { | |
| color: var(--color-text-muted); | |
| font-size: 0.875rem; | |
| font-weight: 600; | |
| margin-bottom: 6px; | |
| } | |
| .stat-value { | |
| font-size: 1.85rem; | |
| font-weight: 800; | |
| color: var(--color-text); | |
| line-height: 1.2; | |
| } | |
| .stat-card.tier { border-top: 4px solid var(--color-primary); } | |
| .section { | |
| background: var(--color-surface); | |
| border-radius: var(--radius); | |
| padding: 24px; | |
| margin-bottom: 24px; | |
| box-shadow: var(--shadow); | |
| border: 1px solid var(--color-border); | |
| } | |
| .section h2 { | |
| margin: 0 0 20px 0; | |
| font-size: 1.25rem; | |
| font-weight: 700; | |
| } | |
| .section h3 { | |
| margin: 0 0 12px 0; | |
| font-size: 1rem; | |
| font-weight: 600; | |
| color: var(--color-text-muted); | |
| } | |
| table { | |
| width: 100%; | |
| border-collapse: collapse; | |
| } | |
| thead { background: #f1f5f9; } | |
| th { | |
| text-align: left; | |
| padding: 12px 16px; | |
| font-weight: 700; | |
| font-size: 0.8rem; | |
| color: var(--color-text-muted); | |
| text-transform: uppercase; | |
| letter-spacing: 0.04em; | |
| border-bottom: 2px solid var(--color-border); | |
| } | |
| td { | |
| padding: 12px 16px; | |
| border-bottom: 1px solid var(--color-border); | |
| font-size: 0.95rem; | |
| vertical-align: middle; | |
| } | |
| tr:last-child td { border-bottom: none; } | |
| tr:hover { background: #f8fafc; } | |
| .rank { | |
| width: 50px; | |
| color: var(--color-text-muted); | |
| font-weight: 700; | |
| text-align: center; | |
| } | |
| .title-cell { font-weight: 500; } | |
| .upvotes { | |
| width: 110px; | |
| text-align: right; | |
| } | |
| .upvotes-badge { | |
| display: inline-flex; | |
| align-items: center; | |
| gap: 6px; | |
| background: #eff6ff; | |
| color: var(--color-primary); | |
| padding: 5px 11px; | |
| border-radius: 999px; | |
| font-weight: 700; | |
| font-size: 0.875rem; | |
| } | |
| .top-row { background: #eff6ff; } | |
| .top-row:hover { background: #dbeafe; } | |
| .top-row .upvotes-badge { background: #dbeafe; color: var(--color-primary-dark); } | |
| .tier-row { background: #fffbeb; } | |
| .tier-row:hover { background: #fef3c7; } | |
| .tier-row .upvotes-badge { background: #fef3c7; color: #b45309; } | |
| .chart { margin-top: 8px; } | |
| .chart-row { | |
| display: flex; | |
| align-items: center; | |
| margin-bottom: 14px; | |
| } | |
| .chart-label { | |
| width: 220px; | |
| font-size: 0.875rem; | |
| font-weight: 500; | |
| color: var(--color-text); | |
| white-space: nowrap; | |
| overflow: hidden; | |
| text-overflow: ellipsis; | |
| padding-right: 12px; | |
| } | |
| .chart-bar-wrap { | |
| flex: 1; | |
| background: #f1f5f9; | |
| border-radius: 999px; | |
| height: 26px; | |
| overflow: hidden; | |
| } | |
| .chart-bar { | |
| height: 100%; | |
| background: linear-gradient(90deg, var(--color-primary), var(--color-primary-dark)); | |
| border-radius: 999px; | |
| min-width: 2px; | |
| transition: width 0.8s ease; | |
| } | |
| .chart-value { | |
| width: 60px; | |
| text-align: right; | |
| font-weight: 700; | |
| font-size: 0.875rem; | |
| color: var(--color-text-muted); | |
| padding-left: 12px; | |
| } | |
| .source { | |
| color: var(--color-text-muted); | |
| font-size: 0.875rem; | |
| margin-top: 12px; | |
| line-height: 1.5; | |
| } | |
| .source strong { color: var(--color-text); } | |
| .source a { color: var(--color-primary); text-decoration: none; } | |
| .source a:hover { text-decoration: underline; } | |
| footer { | |
| text-align: center; | |
| color: var(--color-text-muted); | |
| font-size: 0.875rem; | |
| padding: 24px 0 0; | |
| } | |
| @media (max-width: 640px) { | |
| .container { padding: 24px 16px; } | |
| h1 { font-size: 1.75rem; } | |
| .chart-label { width: 130px; } | |
| .stat-value { font-size: 1.5rem; } | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| <header> | |
| <div class="eyebrow">Hugging Face Hub Summary</div> | |
| <h1>Unsloth Public Collections</h1> | |
| <p class="subtitle">Research question: <strong>How many public collections does unsloth have on Hugging Face?</strong></p> | |
| </header> | |
| <div class="answer-card"> | |
| <h2>Answer</h2> | |
| <p>unsloth has <strong>35 public collections</strong> on Hugging Face, with a combined total of <strong>3,025 upvotes</strong>. The most popular collection is <strong>Unsloth Dynamic 2.0 Quants</strong> with 760 upvotes.</p> | |
| </div> | |
| <div class="stats-grid"> | |
| <div class="stat-card"> | |
| <div class="stat-label">Public Collections</div> | |
| <div class="stat-value">35</div> | |
| </div> | |
| <div class="stat-card"> | |
| <div class="stat-label">Total Upvotes</div> | |
| <div class="stat-value">3,025</div> | |
| </div> | |
| <div class="stat-card"> | |
| <div class="stat-label">Average Upvotes</div> | |
| <div class="stat-value">86.4</div> | |
| </div> | |
| <div class="stat-card tier"> | |
| <div class="stat-label">Collections with 100+ Upvotes</div> | |
| <div class="stat-value">8</div> | |
| </div> | |
| </div> | |
| <div class="section"> | |
| <h2>Top 10 Collections by Upvotes</h2> | |
| <div class="chart"> | |
| <div class="chart-row"> | |
| <div class="chart-label">Unsloth Dynamic 2.0 Quants</div> | |
| <div class="chart-bar-wrap"><div class="chart-bar" style="width:100%"></div></div> | |
| <div class="chart-value">760</div> | |
| </div> | |
| <div class="chart-row"> | |
| <div class="chart-label">Qwen3</div> | |
| <div class="chart-bar-wrap"><div class="chart-bar" style="width:36.1%"></div></div> | |
| <div class="chart-value">274</div> | |
| </div> | |
| <div class="chart-row"> | |
| <div class="chart-label">DeepSeek R1 (All Versions)</div> | |
| <div class="chart-bar-wrap"><div class="chart-bar" style="width:35.5%"></div></div> | |
| <div class="chart-value">270</div> | |
| </div> | |
| <div class="chart-row"> | |
| <div class="chart-label">Gemma 4</div> | |
| <div class="chart-bar-wrap"><div class="chart-bar" style="width:30.1%"></div></div> | |
| <div class="chart-value">229</div> | |
| </div> | |
| <div class="chart-row"> | |
| <div class="chart-label">Qwen3.5</div> | |
| <div class="chart-bar-wrap"><div class="chart-bar" style="width:21.4%"></div></div> | |
| <div class="chart-value">163</div> | |
| </div> | |
| <div class="chart-row"> | |
| <div class="chart-label">Gemma 3</div> | |
| <div class="chart-bar-wrap"><div class="chart-bar" style="width:15.3%"></div></div> | |
| <div class="chart-value">116</div> | |
| </div> | |
| <div class="chart-row"> | |
| <div class="chart-label">Gemma 4 QAT</div> | |
| <div class="chart-bar-wrap"><div class="chart-bar" style="width:13.8%"></div></div> | |
| <div class="chart-value">105</div> | |
| </div> | |
| <div class="chart-row"> | |
| <div class="chart-label">Unsloth 4-bit Dynamic Quants</div> | |
| <div class="chart-bar-wrap"><div class="chart-bar" style="width:12.8%"></div></div> | |
| <div class="chart-value">97</div> | |
| </div> | |
| <div class="chart-row"> | |
| <div class="chart-label">Unsloth Diffusion GGUFs</div> | |
| <div class="chart-bar-wrap"><div class="chart-bar" style="width:12.5%"></div></div> | |
| <div class="chart-value">95</div> | |
| </div> | |
| <div class="chart-row"> | |
| <div class="chart-label">Phi-4 (All Versions)</div> | |
| <div class="chart-bar-wrap"><div class="chart-bar" style="width:10.7%"></div></div> | |
| <div class="chart-value">81</div> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="section"> | |
| <h2>Complete List of Collections</h2> | |
| <table> | |
| <thead> | |
| <tr> | |
| <th class="rank">#</th> | |
| <th>Collection Title</th> | |
| <th class="upvotes">Upvotes</th> | |
| </tr> | |
| </thead> | |
| <tbody> | |
| <tr><td class="rank">1</td><td class="title-cell">NVFP4</td><td class="upvotes"><span class="upvotes-badge">37</span></td></tr> | |
| <tr class="top-row"><td class="rank">2</td><td class="title-cell">Unsloth Dynamic 2.0 Quants</td><td class="upvotes"><span class="upvotes-badge">760</span></td></tr> | |
| <tr><td class="rank">3</td><td class="title-cell">Gemma 4 QAT</td><td class="upvotes"><span class="upvotes-badge">105</span></td></tr> | |
| <tr><td class="rank">4</td><td class="title-cell">Qwen3.6</td><td class="upvotes"><span class="upvotes-badge">82</span></td></tr> | |
| <tr><td class="rank">5</td><td class="title-cell">Unsloth Diffusion GGUFs</td><td class="upvotes"><span class="upvotes-badge">95</span></td></tr> | |
| <tr><td class="rank">6</td><td class="title-cell">Qwen3-VL</td><td class="upvotes"><span class="upvotes-badge">36</span></td></tr> | |
| <tr><td class="rank">7</td><td class="title-cell">DeepSeek R1 (All Versions)</td><td class="upvotes"><span class="upvotes-badge">270</span></td></tr> | |
| <tr><td class="rank">8</td><td class="title-cell">Gemma 4</td><td class="upvotes"><span class="upvotes-badge">229</span></td></tr> | |
| <tr><td class="rank">9</td><td class="title-cell">Qwen3.5</td><td class="upvotes"><span class="upvotes-badge">163</span></td></tr> | |
| <tr><td class="rank">10</td><td class="title-cell">Embedding Models</td><td class="upvotes"><span class="upvotes-badge">6</span></td></tr> | |
| <tr><td class="rank">11</td><td class="title-cell">Ministral 3</td><td class="upvotes"><span class="upvotes-badge">35</span></td></tr> | |
| <tr><td class="rank">12</td><td class="title-cell">Granite 4.0</td><td class="upvotes"><span class="upvotes-badge">28</span></td></tr> | |
| <tr><td class="rank">13</td><td class="title-cell">DeepSeek-V3.1</td><td class="upvotes"><span class="upvotes-badge">10</span></td></tr> | |
| <tr><td class="rank">14</td><td class="title-cell">gpt-oss</td><td class="upvotes"><span class="upvotes-badge">53</span></td></tr> | |
| <tr><td class="rank">15</td><td class="title-cell">Qwen3-Coder</td><td class="upvotes"><span class="upvotes-badge">39</span></td></tr> | |
| <tr><td class="rank">16</td><td class="title-cell">Gemma 3n</td><td class="upvotes"><span class="upvotes-badge">28</span></td></tr> | |
| <tr><td class="rank">17</td><td class="title-cell">Qwen3</td><td class="upvotes"><span class="upvotes-badge">274</span></td></tr> | |
| <tr><td class="rank">18</td><td class="title-cell">Text-to-Speech (TTS) models</td><td class="upvotes"><span class="upvotes-badge">32</span></td></tr> | |
| <tr><td class="rank">19</td><td class="title-cell">Llama 4</td><td class="upvotes"><span class="upvotes-badge">56</span></td></tr> | |
| <tr><td class="rank">20</td><td class="title-cell">Gemma 3</td><td class="upvotes"><span class="upvotes-badge">116</span></td></tr> | |
| <tr><td class="rank">21</td><td class="title-cell">Mistral Small 3 (All Versions)</td><td class="upvotes"><span class="upvotes-badge">23</span></td></tr> | |
| <tr><td class="rank">22</td><td class="title-cell">Qwen2.5-VL (All Versions)</td><td class="upvotes"><span class="upvotes-badge">24</span></td></tr> | |
| <tr><td class="rank">23</td><td class="title-cell">Phi-4 (All Versions)</td><td class="upvotes"><span class="upvotes-badge">81</span></td></tr> | |
| <tr><td class="rank">24</td><td class="title-cell">Deepseek V3 (All Versions)</td><td class="upvotes"><span class="upvotes-badge">40</span></td></tr> | |
| <tr><td class="rank">25</td><td class="title-cell">Qwen QwQ-32B Collection</td><td class="upvotes"><span class="upvotes-badge">5</span></td></tr> | |
| <tr><td class="rank">26</td><td class="title-cell">Llama 3.1 Collection</td><td class="upvotes"><span class="upvotes-badge">11</span></td></tr> | |
| <tr><td class="rank">27</td><td class="title-cell">Llama 3.3 (All Versions)</td><td class="upvotes"><span class="upvotes-badge">39</span></td></tr> | |
| <tr><td class="rank">28</td><td class="title-cell">Unsloth 4-bit Dynamic Quants</td><td class="upvotes"><span class="upvotes-badge">97</span></td></tr> | |
| <tr><td class="rank">29</td><td class="title-cell">Vision/multimodal Models</td><td class="upvotes"><span class="upvotes-badge">22</span></td></tr> | |
| <tr><td class="rank">30</td><td class="title-cell">Llama 3.2 Vision</td><td class="upvotes"><span class="upvotes-badge">8</span></td></tr> | |
| <tr><td class="rank">31</td><td class="title-cell">Qwen 2.5 Coder</td><td class="upvotes"><span class="upvotes-badge">41</span></td></tr> | |
| <tr><td class="rank">32</td><td class="title-cell">Qwen 2.5</td><td class="upvotes"><span class="upvotes-badge">15</span></td></tr> | |
| <tr><td class="rank">33</td><td class="title-cell">Llama 3.2</td><td class="upvotes"><span class="upvotes-badge">69</span></td></tr> | |
| <tr><td class="rank">34</td><td class="title-cell">4bit Instruct Models</td><td class="upvotes"><span class="upvotes-badge">34</span></td></tr> | |
| <tr><td class="rank">35</td><td class="title-cell">Load 4bit models 4x faster</td><td class="upvotes"><span class="upvotes-badge">62</span></td></tr> | |
| </tbody> | |
| </table> | |
| </div> | |
| <div class="source"> | |
| <p><strong>Source:</strong> Hugging Face Hub API via <code>ls hf://collections/unsloth</code>. Data retrieved 16 July 2026.</p> | |
| <p><strong>View source:</strong> <a href="https://huggingface.co/collections/unsloth" target="_blank" rel="noopener">huggingface.co/collections/unsloth</a></p> | |
| </div> | |
| <footer> | |
| Generated summary report • Birch HTML artifact | |
| </footer> | |
| </div> | |
| </body> | |
| </html> |
Xet Storage Details
- Size:
- 16.1 kB
- Xet hash:
- 0e04790580a0900522f353bc429ceabf413b841565887e7adfe018988492a127
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.