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ModelHub XC 1c6f23262f 初始化项目,由ModelHub XC社区提供模型
Model: 11-47/Distil-Gemini3.2-Pro.Minute.Codex.NSFW-0.1B
Source: Original Platform
2026-09-11 06:29:17 +08:00

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<body>
<div class="orb orb1"></div>
<div class="orb orb2"></div>
<div class="orb orb3"></div>
<div class="page">
<!-- ── HERO ── -->
<div class="hero">
<div class="hero-eyebrow">Model Card</div>
<h1 class="hero-title">
<span class="accent">DistilBERT</span>-Gemini3.2-Pro<br>
<span class="accent2">Fast.Coder.NSFW</span>-0.1B
</h1>
<div class="hero-org">
by <a href="https://huggingface.co/WithinUsAI" target="_blank">WithinUsAI</a>
&nbsp;·&nbsp; GODsStrongestSoldier
&nbsp;·&nbsp; <a href="https://huggingface.co/WithinUsAI/DistilBERT-Gemini3.2-Pro.Fast.Coder.NSFW-0.1B" target="_blank">View on 🤗 Hub</a>
</div>
```
<div class="tag-row">
<span class="tag blue">Text Generation</span>
<span class="tag blue">Causal LM</span>
<span class="tag purple">Reasoning</span>
<span class="tag purple">Coding</span>
<span class="tag purple">Creative Writing</span>
<span class="tag">Distillation</span>
<span class="tag">PyTorch</span>
<span class="tag">Safetensors</span>
<span class="tag">English</span>
<span class="tag hot">Not-For-All-Audiences</span>
</div>
<div class="stat-row">
<div class="stat-card">
<div class="stat-label">Parameters</div>
<div class="stat-value">81.9<span class="unit">M</span></div>
</div>
<div class="stat-card">
<div class="stat-label">Tensor Type</div>
<div class="stat-value" style="font-size:16px;">F32</div>
</div>
<div class="stat-card">
<div class="stat-label">Context Window</div>
<div class="stat-value">1024<span class="unit">tok</span></div>
</div>
<div class="stat-card">
<div class="stat-label">License</div>
<div class="stat-value" style="font-size:15px;">Apache 2.0</div>
</div>
<div class="stat-card">
<div class="stat-label">Base Model</div>
<div class="stat-value" style="font-size:14px;">DistilGPT2</div>
</div>
</div>
```
</div>
<!-- ── MODEL DESCRIPTION ── -->
<div class="section">
<div class="section-header">
<span class="section-num">01</span>
<h2 class="section-title">Model <span>Description</span></h2>
<div class="section-line"></div>
</div>
<div class="desc-box">
<p>
<strong>DistilBERT-Gemini3.2-Pro.Fast.Coder.NSFW-0.1B</strong> is a fully fine-tuned version of
<strong>DistilGPT2</strong> — exposed to an aggressive curriculum of high-reasoning Gemini distillation traces,
comprehensive coding datasets, creative writing frameworks, and mature internet discourse.
</p>
<p>
The model is designed to act as a highly responsive, analytical engine capable of deep structural reasoning
and complex logic emulation. Despite its compact 81.9M parameter footprint, it targets multi-domain
competence across code generation, reasoning chains, and open-ended text generation.
</p>
<p>
Trained natively at an accelerated maximum learning rate with a cosine decay schedule, the model synthesizes
diverse programmatic and theoretical domains from a massive multi-repository corpus, processed at
DistilGPT2's maximum context window of 1024 tokens.
</p>
</div>
</div>
<!-- ── INTENDED USE ── -->
<div class="section">
<div class="section-header">
<span class="section-num">02</span>
<h2 class="section-title">Intended <span>Use</span></h2>
<div class="section-line"></div>
</div>
<div class="training-grid">
<div class="param-card">
<div class="param-key">Primary Use</div>
<div class="param-val" style="font-size:13px; font-weight:600;">Code Generation</div>
</div>
<div class="param-card">
<div class="param-key">Secondary Use</div>
<div class="param-val" style="font-size:13px; font-weight:600;">Reasoning &amp; Analysis</div>
</div>
<div class="param-card">
<div class="param-key">Tertiary Use</div>
<div class="param-val" style="font-size:13px; font-weight:600;">Creative Writing</div>
</div>
<div class="param-card">
<div class="param-key">Audience</div>
<div class="param-val" style="font-size:13px; font-weight:600; color: var(--accent3);">Adults Only (18+)</div>
</div>
</div>
</div>
<!-- ── DATASETS ── -->
<div class="section">
<div class="section-header">
<span class="section-num">03</span>
<h2 class="section-title">Training <span>Datasets</span></h2>
<div class="section-line"></div>
</div>
<p style="margin-bottom:20px;">Fine-tuned on a synthesized <em>Golden Mix</em> drawn from eight multi-domain repositories:</p>
<div class="dataset-grid">
<div class="dataset-item">
<div class="dataset-icon">🧬</div>
<div class="dataset-name"><a href="https://huggingface.co/datasets/WithinUsAI/GeminiPro3.2_max_distill_god_seed_25k" target="_blank">WithinUsAI/GeminiPro3.2_max_distill_god_seed_25k</a></div>
<span class="dataset-type">Distillation</span>
</div>
<div class="dataset-item">
<div class="dataset-icon">💻</div>
<div class="dataset-name"><a href="https://huggingface.co/datasets/WithinUsAI/GOD_Coder_Complete_DataSet" target="_blank">WithinUsAI/GOD_Coder_Complete_DataSet</a></div>
<span class="dataset-type">Coding</span>
</div>
<div class="dataset-item">
<div class="dataset-icon">🔞</div>
<div class="dataset-name"><a href="https://huggingface.co/datasets/acheong08/nsfw_reddit" target="_blank">acheong08/nsfw_reddit</a></div>
<span class="dataset-type">NSFW</span>
</div>
<div class="dataset-item">
<div class="dataset-icon">🧠</div>
<div class="dataset-name"><a href="https://huggingface.co/datasets/Roman1111111/gemini-3.1-pro-hard-high-reasoning" target="_blank">Roman1111111/gemini-3.1-pro-hard-high-reasoning</a></div>
<span class="dataset-type">Reasoning</span>
</div>
<div class="dataset-item">
<div class="dataset-icon">🧠</div>
<div class="dataset-name"><a href="https://huggingface.co/datasets/TeichAI/gemini-3-pro-preview-high-reasoning-1000x" target="_blank">TeichAI/gemini-3-pro-preview-high-reasoning-1000x</a></div>
<span class="dataset-type">Reasoning</span>
</div>
<div class="dataset-item">
<div class="dataset-icon">🧠</div>
<div class="dataset-name"><a href="https://huggingface.co/datasets/Roman1111111/gemini-3-pro-10000x-hard-high-reasoning" target="_blank">Roman1111111/gemini-3-pro-10000x-hard-high-reasoning</a></div>
<span class="dataset-type">Reasoning</span>
</div>
<div class="dataset-item">
<div class="dataset-icon">🧠</div>
<div class="dataset-name"><a href="https://huggingface.co/datasets/TeichAI/gemini-3-pro-preview-high-reasoning-250x" target="_blank">TeichAI/gemini-3-pro-preview-high-reasoning-250x</a></div>
<span class="dataset-type">Reasoning</span>
</div>
<div class="dataset-item">
<div class="dataset-icon">✍️</div>
<div class="dataset-name"><a href="https://huggingface.co/datasets/Crownelius/Creative-Writing-Gemini3Pro-2700x" target="_blank">Crownelius/Creative-Writing-Gemini3Pro-2700x</a></div>
<span class="dataset-type">Creative</span>
</div>
</div>
</div>
<!-- ── TRAINING DETAILS ── -->
<div class="section">
<div class="section-header">
<span class="section-num">04</span>
<h2 class="section-title">Training <span>Procedure</span></h2>
<div class="section-line"></div>
</div>
<p style="margin-bottom:20px;">
The model underwent <strong>full fine-tuning</strong> — no adapters or LoRA. All native DistilGPT2 parameters
were globally updated. The training harness dynamically parsed heavily nested dataset repositories, enforcing
a strict shape constraint to generate mathematically perfect 1024-token continuous sequences, maxing out
the model's context window.
</p>
<div class="training-grid" style="margin-bottom:20px;">
<div class="param-card">
<div class="param-key">Epochs</div>
<div class="param-val">1</div>
</div>
<div class="param-card">
<div class="param-key">Block Size</div>
<div class="param-val">1024</div>
</div>
<div class="param-card">
<div class="param-key">Batch / Device</div>
<div class="param-val">4</div>
</div>
<div class="param-card">
<div class="param-key">Grad Accum Steps</div>
<div class="param-val">16</div>
</div>
<div class="param-card">
<div class="param-key">Global Batch</div>
<div class="param-val">128</div>
</div>
<div class="param-card">
<div class="param-key">Peak LR</div>
<div class="param-val">3e-4</div>
</div>
<div class="param-card">
<div class="param-key">LR Scheduler</div>
<div class="param-val" style="font-size:13px;">Cosine</div>
</div>
<div class="param-card">
<div class="param-key">Warmup Ratio</div>
<div class="param-val">0.05</div>
</div>
<div class="param-card">
<div class="param-key">Optimizer</div>
<div class="param-val" style="font-size:12px;">AdamW Fused</div>
</div>
<div class="param-card">
<div class="param-key">Precision</div>
<div class="param-val">fp16</div>
</div>
<div class="param-card">
<div class="param-key">Grad Checkpoint</div>
<div class="param-val" style="font-size:13px; color: var(--accent2);">Enabled</div>
</div>
<div class="param-card">
<div class="param-key">Fine-Tune Type</div>
<div class="param-val" style="font-size:12px;">Full (no LoRA)</div>
</div>
</div>
```
<!-- Hardware -->
<div class="hw-card">
<div class="hw-badge">
<div class="big">2×</div>
<div class="small">NVIDIA T4</div>
</div>
<div class="hw-detail">
<strong>Environment:</strong> Kaggle<br>
<strong>VRAM:</strong> 15 GB per GPU (30 GB total)<br>
<strong>Accelerator:</strong> Dual NVIDIA T4 GPUs
</div>
</div>
```
</div>
<!-- ── LIMITATIONS ── -->
<div class="section">
<div class="section-header">
<span class="section-num">05</span>
<h2 class="section-title">Limitations &amp; <span>Risks</span></h2>
<div class="section-line"></div>
</div>
<ul class="limit-list">
<li><strong>Small capacity:</strong> At ~82M parameters and a 1024-token context window, reasoning depth is fundamentally constrained relative to larger distillation targets.</li>
<li><strong>Single-epoch training:</strong> One epoch over the corpus limits generalization; the model may exhibit dataset memorization artifacts.</li>
<li><strong>NSFW content:</strong> Trained on adult Reddit data — outputs may be explicit or harmful without appropriate filtering in downstream applications.</li>
<li><strong>Unverified distillation data:</strong> Gemini traces from community datasets are not officially verified; quality and accuracy cannot be guaranteed.</li>
<li><strong>English-only:</strong> The model is not designed for multilingual use cases.</li>
<li><strong>Not production-ready:</strong> Intended as a research/experimental model; apply safety filtering before any user-facing deployment.</li>
</ul>
</div>
<!-- ── LICENSE ── -->
<div class="section">
<div class="section-header">
<span class="section-num">06</span>
<h2 class="section-title">License &amp; <span>Attribution</span></h2>
<div class="section-line"></div>
</div>
<p style="margin-bottom:16px;">
Released under the <strong>Apache 2.0</strong> license. Free to use, modify, and distribute with attribution.
</p>
<div class="license-badge">📄 Apache-2.0 License</div>
<p style="margin-top:20px; font-size:13px; color: var(--muted);">
Base model: <a href="https://huggingface.co/distilbert/distilgpt2" target="_blank" style="color: var(--accent2);">distilbert/distilgpt2</a> by HuggingFace / DistilBERT team.
Model card authored for: <a href="https://huggingface.co/WithinUsAI" target="_blank" style="color: var(--accent2);">WithinUsAI</a>.
</p>
</div>
<!-- ── FOOTER ── -->
<div class="footer">
<span>WithinUsAI · DistilBERT-Gemini3.2-Pro.Fast.Coder.NSFW-0.1B</span>
<a href="https://huggingface.co/WithinUsAI/DistilBERT-Gemini3.2-Pro.Fast.Coder.NSFW-0.1B" target="_blank">🤗 View on Hub →</a>
</div>
</div>
</body>
</html>