Instructions to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K # Run inference directly in the terminal: ./llama-cli -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
Use Docker
docker model run hf.co/cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
- LM Studio
- Jan
- vLLM
How to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
- Ollama
How to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with Ollama:
ollama run hf.co/cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
- Unsloth Desktop
- Docker Model Runner
How to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with Docker Model Runner:
docker model run hf.co/cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
- Lemonade
How to use cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF:Q2_K
Run and chat with the model
lemonade run user.CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF-Q2_K
List all available models
lemonade list
- Atomic Chat
Upload cyberneurova-deepseek-v4-flash-abliteration-v2.html with huggingface_hub
Browse files
cyberneurova-deepseek-v4-flash-abliteration-v2.html
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| 1 |
+
<!doctype html>
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| 2 |
+
<html lang="en">
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| 3 |
+
<head>
|
| 4 |
+
<meta charset="utf-8">
|
| 5 |
+
<title>CyberNeurova · DeepSeek-V4-Flash Abliterated · v2</title>
|
| 6 |
+
<style>
|
| 7 |
+
:root {
|
| 8 |
+
--ink: #0b1120;
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| 9 |
+
--ink-2: #1e293b;
|
| 10 |
+
--muted: #64748b;
|
| 11 |
+
--rule: #e2e8f0;
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| 12 |
+
--accent: #1e3a8a;
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| 13 |
+
--good: #10b981;
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| 14 |
+
--bad: #ef4444;
|
| 15 |
+
--warn: #fbbf24;
|
| 16 |
+
--bg-card: #f8fafc;
|
| 17 |
+
}
|
| 18 |
+
* { box-sizing: border-box; }
|
| 19 |
+
html { -webkit-text-size-adjust: 100%; }
|
| 20 |
+
body {
|
| 21 |
+
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Helvetica Neue", Helvetica, Arial, sans-serif;
|
| 22 |
+
color: var(--ink);
|
| 23 |
+
background: #ffffff;
|
| 24 |
+
line-height: 1.55;
|
| 25 |
+
margin: 0;
|
| 26 |
+
padding: 56px 64px;
|
| 27 |
+
max-width: 920px;
|
| 28 |
+
margin: 0 auto;
|
| 29 |
+
-webkit-font-smoothing: antialiased;
|
| 30 |
+
}
|
| 31 |
+
h1, h2, h3 { color: var(--ink); font-weight: 700; letter-spacing: -0.01em; }
|
| 32 |
+
h1 { font-size: 32px; line-height: 1.15; margin: 0 0 6px; }
|
| 33 |
+
h2 { font-size: 22px; line-height: 1.25; margin: 36px 0 14px; padding-top: 14px; border-top: 1px solid var(--rule); }
|
| 34 |
+
h3 { font-size: 16px; line-height: 1.3; margin: 24px 0 10px; }
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| 35 |
+
p { margin: 0 0 12px; }
|
| 36 |
+
.dim { color: var(--muted); font-size: 13px; }
|
| 37 |
+
.emph { font-weight: 700; color: var(--ink); }
|
| 38 |
+
|
| 39 |
+
/* ----- header / cover ----- */
|
| 40 |
+
.header { margin-bottom: 18px; }
|
| 41 |
+
.header .eyebrow { font-size: 12px; letter-spacing: 0.12em; text-transform: uppercase; color: var(--muted); margin-bottom: 8px; }
|
| 42 |
+
.header .sub { font-size: 17px; color: var(--ink-2); margin-top: 4px; }
|
| 43 |
+
.meta-row {
|
| 44 |
+
display: flex; flex-wrap: wrap; gap: 8px;
|
| 45 |
+
font-size: 12px; color: var(--muted); margin-top: 14px;
|
| 46 |
+
}
|
| 47 |
+
.meta-row .meta {
|
| 48 |
+
background: var(--bg-card); border: 1px solid var(--rule); border-radius: 4px;
|
| 49 |
+
padding: 4px 10px;
|
| 50 |
+
}
|
| 51 |
+
.meta-row .meta b { color: var(--ink-2); font-weight: 600; }
|
| 52 |
+
|
| 53 |
+
/* ----- summary cards ----- */
|
| 54 |
+
.cards {
|
| 55 |
+
display: grid;
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| 56 |
+
grid-template-columns: repeat(auto-fit, minmax(240px, 1fr));
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| 57 |
+
gap: 14px;
|
| 58 |
+
margin: 28px 0;
|
| 59 |
+
}
|
| 60 |
+
.card {
|
| 61 |
+
background: var(--bg-card);
|
| 62 |
+
border: 1px solid var(--rule);
|
| 63 |
+
border-radius: 6px;
|
| 64 |
+
padding: 18px 20px;
|
| 65 |
+
}
|
| 66 |
+
.card-label { font-size: 12px; color: var(--muted); text-transform: uppercase; letter-spacing: 0.06em; font-weight: 600; }
|
| 67 |
+
.card-value { font-size: 26px; font-weight: 700; color: var(--ink); margin: 8px 0 4px; line-height: 1.1; }
|
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.card-value .emph { color: var(--good); }
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.card-note { font-size: 12px; color: var(--muted); }
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/* ----- tables ----- */
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table {
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margin: 14px 0 6px;
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th, td { padding: 10px 8px; text-align: left; vertical-align: top; }
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background: var(--ink); color: #fff; font-weight: 600; font-size: 12px;
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text-transform: uppercase; letter-spacing: 0.06em;
|
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+
}
|
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+
thead th.v2-h { background: var(--good); }
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thead th.num-h { text-align: right; }
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tbody tr { border-bottom: 1px solid var(--rule); }
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tbody tr:last-child { border-bottom: none; }
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td.num { text-align: right; font-variant-numeric: tabular-nums; white-space: nowrap; }
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td.num.emph { color: var(--good); font-weight: 700; }
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td.bench-name { font-weight: 600; }
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td.delta { text-align: right; font-variant-numeric: tabular-nums; font-weight: 700; white-space: nowrap; }
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td.delta.good { color: var(--good); }
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|
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svg.bar { display: block; margin-top: 4px; margin-left: auto; }
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/* ----- probe ----- */
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.probe-headline {
|
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display: flex; align-items: stretch; gap: 14px;
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margin: 22px 0 10px;
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background: #ecfdf5; border-color: var(--good);
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.probe-stat-label { font-size: 12px; color: var(--muted); text-transform: uppercase; letter-spacing: 0.06em; font-weight: 600; }
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.probe-stat-value { font-size: 36px; font-weight: 700; line-height: 1; margin: 8px 0 4px; }
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.probe-arrow { align-self: center; font-size: 28px; color: var(--muted); }
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.probe-delta { margin: 4px 0 18px; font-size: 13px; }
|
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.badge {
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display: inline-block; font-size: 12px; font-weight: 700; letter-spacing: 0.04em;
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padding: 4px 10px; border-radius: 999px; margin-right: 8px; font-variant-numeric: tabular-nums;
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table.probe-cats svg.bar { display: inline-block; margin-left: 8px; vertical-align: middle; margin-top: 0; }
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.footer code { background: var(--bg-card); padding: 2px 6px; border-radius: 3px; color: var(--ink-2); }
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/* ----- print ----- */
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@media print {
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body { padding: 0.6in 0.7in; max-width: none; font-size: 11pt; }
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h2 { break-before: page; padding-top: 0; border-top: none; }
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h2:first-of-type { break-before: auto; }
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.cards, .probe-headline { break-inside: avoid; }
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table { break-inside: avoid; }
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a { color: var(--ink-2); }
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</style>
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</head>
|
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<body>
|
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+
|
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+
<div class="header">
|
| 146 |
+
<div class="eyebrow">CyberNeurova · v2 release</div>
|
| 147 |
+
<h1>DeepSeek-V4-Flash · Abliterated</h1>
|
| 148 |
+
<div class="sub">Three-direction multi-turn-aware ablation, evaluated on an 8-benchmark suite plus a 55-prompt out-of-distribution refusal probe.</div>
|
| 149 |
+
<div class="meta-row">
|
| 150 |
+
<span class="meta">Base model: <b>deepseek-ai/DeepSeek-V4-Flash</b></span>
|
| 151 |
+
<span class="meta">Quants: <b>Q2_K · Q8_0</b></span>
|
| 152 |
+
<span class="meta">Repo: <b>cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF</b></span>
|
| 153 |
+
</div>
|
| 154 |
+
</div>
|
| 155 |
+
|
| 156 |
+
|
| 157 |
+
<div class="cards">
|
| 158 |
+
<div class="card">
|
| 159 |
+
<div class="card-label">refusal rate (8-bench safety set, n=33)</div>
|
| 160 |
+
<div class="card-value"><span class="emph">0.0%</span></div>
|
| 161 |
+
<div class="card-note">held at 0% from v1 → v2; same hard + soft refusal classifier</div>
|
| 162 |
+
</div>
|
| 163 |
+
<div class="card">
|
| 164 |
+
<div class="card-label">tool-calling format compliance</div>
|
| 165 |
+
<div class="card-value">74.2% → <span class="emph">99.2%</span></div>
|
| 166 |
+
<div class="card-note">+25.0 pp — biggest single quality fix in v2</div>
|
| 167 |
+
</div>
|
| 168 |
+
|
| 169 |
+
<div class="card">
|
| 170 |
+
<div class="card-label">soft-refusal probe (OOD, n=55)</div>
|
| 171 |
+
<div class="card-value">81.8% → <span class="emph">3.6%</span></div>
|
| 172 |
+
<div class="card-note">−78.2 pp on prompts the model has never been benchmarked against</div>
|
| 173 |
+
</div>
|
| 174 |
+
</div>
|
| 175 |
+
|
| 176 |
+
|
| 177 |
+
<h2>v1 → v2 benchmark suite</h2>
|
| 178 |
+
<p>
|
| 179 |
+
Same 8 benchmarks, run end-to-end against the bf16 hooked model via vLLM,
|
| 180 |
+
baseline and ablated states scored back-to-back per benchmark. v2 strictly
|
| 181 |
+
dominates v1: four wins, three ties, one −0.4 pp coherence change well inside
|
| 182 |
+
the 15-prompt sampling noise.
|
| 183 |
+
</p>
|
| 184 |
+
|
| 185 |
+
<table class="bench">
|
| 186 |
+
<thead>
|
| 187 |
+
<tr>
|
| 188 |
+
<th>benchmark</th>
|
| 189 |
+
<th class="num-h">baseline</th>
|
| 190 |
+
<th class="num-h">v1 ablated</th>
|
| 191 |
+
<th class="num-h v2-h">v2 ablated</th>
|
| 192 |
+
<th>Δ (v2 − v1)</th>
|
| 193 |
+
</tr>
|
| 194 |
+
</thead>
|
| 195 |
+
<tbody>
|
| 196 |
+
<tr>
|
| 197 |
+
<td class="bench-name">bug_finding<div class="dim">higher is better</div></td>
|
| 198 |
+
<td class="num">86.7%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="138" height="10" rx="2" fill="#94a3b8"/></svg></div></td>
|
| 199 |
+
<td class="num">78.3%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="125" height="10" rx="2" fill="#fbbf24"/></svg></div></td>
|
| 200 |
+
<td class="num emph">85.0%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="136" height="10" rx="2" fill="#10b981"/></svg></div></td>
|
| 201 |
+
<td class="delta good">+6.7 pp</td>
|
| 202 |
+
</tr>
|
| 203 |
+
<tr>
|
| 204 |
+
<td class="bench-name">coding<div class="dim">higher is better</div></td>
|
| 205 |
+
<td class="num">100.0%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#94a3b8"/></svg></div></td>
|
| 206 |
+
<td class="num">100.0%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#fbbf24"/></svg></div></td>
|
| 207 |
+
<td class="num emph">100.0%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#10b981"/></svg></div></td>
|
| 208 |
+
<td class="delta neutral">—</td>
|
| 209 |
+
</tr>
|
| 210 |
+
<tr>
|
| 211 |
+
<td class="bench-name">coherence<div class="dim">higher is better</div></td>
|
| 212 |
+
<td class="num">93.6%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="149" height="10" rx="2" fill="#94a3b8"/></svg></div></td>
|
| 213 |
+
<td class="num">93.6%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="149" height="10" rx="2" fill="#fbbf24"/></svg></div></td>
|
| 214 |
+
<td class="num emph">93.2%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="149" height="10" rx="2" fill="#10b981"/></svg></div></td>
|
| 215 |
+
<td class="delta bad">-0.4 pp</td>
|
| 216 |
+
</tr>
|
| 217 |
+
<tr>
|
| 218 |
+
<td class="bench-name">cyber_weapons<div class="dim">higher is better</div></td>
|
| 219 |
+
<td class="num">75.7%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="121" height="10" rx="2" fill="#94a3b8"/></svg></div></td>
|
| 220 |
+
<td class="num">87.3%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="139" height="10" rx="2" fill="#fbbf24"/></svg></div></td>
|
| 221 |
+
<td class="num emph">90.0%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="144" height="10" rx="2" fill="#10b981"/></svg></div></td>
|
| 222 |
+
<td class="delta good">+2.7 pp</td>
|
| 223 |
+
</tr>
|
| 224 |
+
<tr>
|
| 225 |
+
<td class="bench-name">hacking<div class="dim">higher is better</div></td>
|
| 226 |
+
<td class="num">78.3%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="125" height="10" rx="2" fill="#94a3b8"/></svg></div></td>
|
| 227 |
+
<td class="num">88.7%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="141" height="10" rx="2" fill="#fbbf24"/></svg></div></td>
|
| 228 |
+
<td class="num emph">90.0%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="144" height="10" rx="2" fill="#10b981"/></svg></div></td>
|
| 229 |
+
<td class="delta good">+1.3 pp</td>
|
| 230 |
+
</tr>
|
| 231 |
+
<tr>
|
| 232 |
+
<td class="bench-name">reasoning<div class="dim">higher is better</div></td>
|
| 233 |
+
<td class="num">83.3%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="133" height="10" rx="2" fill="#94a3b8"/></svg></div></td>
|
| 234 |
+
<td class="num">76.7%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="122" height="10" rx="2" fill="#fbbf24"/></svg></div></td>
|
| 235 |
+
<td class="num emph">76.7%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="122" height="10" rx="2" fill="#10b981"/></svg></div></td>
|
| 236 |
+
<td class="delta neutral">—</td>
|
| 237 |
+
</tr>
|
| 238 |
+
<tr>
|
| 239 |
+
<td class="bench-name">refusal<div class="dim">lower is better</div></td>
|
| 240 |
+
<td class="num">78.8%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="126" height="10" rx="2" fill="#94a3b8"/></svg></div></td>
|
| 241 |
+
<td class="num">0.0%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#fbbf24"/></svg></div></td>
|
| 242 |
+
<td class="num emph">0.0%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#10b981"/></svg></div></td>
|
| 243 |
+
<td class="delta neutral">—</td>
|
| 244 |
+
</tr>
|
| 245 |
+
<tr>
|
| 246 |
+
<td class="bench-name">tool_calling<div class="dim">higher is better</div></td>
|
| 247 |
+
<td class="num">82.5%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="132" height="10" rx="2" fill="#94a3b8"/></svg></div></td>
|
| 248 |
+
<td class="num">74.2%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="118" height="10" rx="2" fill="#fbbf24"/></svg></div></td>
|
| 249 |
+
<td class="num emph">99.2%<div><svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="158" height="10" rx="2" fill="#10b981"/></svg></div></td>
|
| 250 |
+
<td class="delta good">+25.0 pp</td>
|
| 251 |
+
</tr>
|
| 252 |
+
</tbody>
|
| 253 |
+
</table>
|
| 254 |
+
|
| 255 |
+
<p class="dim">
|
| 256 |
+
baseline = stock model. v1-ablated = previous public release (2 directions). v2-ablated =
|
| 257 |
+
current release (3 directions). The Δ column is sign-aware: green always means “better
|
| 258 |
+
for the abliteration goal” for that benchmark’s direction.
|
| 259 |
+
</p>
|
| 260 |
+
|
| 261 |
+
<h2>Soft-refusal probe (out-of-distribution)</h2>
|
| 262 |
+
<p>
|
| 263 |
+
The 8-benchmark refusal set is 33 prompts. To stress-test v2 against the
|
| 264 |
+
failure mode the v1 release was reported on — soft refusals on
|
| 265 |
+
out-of-distribution safety-critical prompts — we run a 55-prompt probe
|
| 266 |
+
the model has never been benchmarked against. The grader is the same
|
| 267 |
+
soft-refusal-aware classifier (catches “instead of X, I can do Y”,
|
| 268 |
+
“I’d rather not”, “I can offer information on the risks
|
| 269 |
+
instead”).
|
| 270 |
+
</p>
|
| 271 |
+
|
| 272 |
+
<div class="probe-headline">
|
| 273 |
+
<div class="probe-stat">
|
| 274 |
+
<div class="probe-stat-label">baseline (stock V4-Flash)</div>
|
| 275 |
+
<div class="probe-stat-value">81.8%</div>
|
| 276 |
+
<div class="probe-stat-sub">45/55 prompts refused</div>
|
| 277 |
+
</div>
|
| 278 |
+
<div class="probe-arrow">→</div>
|
| 279 |
+
<div class="probe-stat highlight">
|
| 280 |
+
<div class="probe-stat-label">v2 ablated (3-direction stack)</div>
|
| 281 |
+
<div class="probe-stat-value">3.6%</div>
|
| 282 |
+
<div class="probe-stat-sub">2/55 prompts refused</div>
|
| 283 |
+
</div>
|
| 284 |
+
</div>
|
| 285 |
+
<p class="probe-delta">
|
| 286 |
+
<span class="badge bad">Δ -78.2 pp</span>
|
| 287 |
+
<span class="badge bad">-96% relative</span>
|
| 288 |
+
</p>
|
| 289 |
+
|
| 290 |
+
<h3>By category</h3>
|
| 291 |
+
<p class="dim">55 prompts spanning 30+ categories. Sources: 12 hand-curated complaint-case prompts + 43 stratified random samples (seed=42) from a 1338-prompt union of public harm-eval datasets.</p>
|
| 292 |
+
<table class="probe-cats">
|
| 293 |
+
<thead>
|
| 294 |
+
<tr>
|
| 295 |
+
<th>category</th>
|
| 296 |
+
<th></th>
|
| 297 |
+
<th class="num-h">baseline</th>
|
| 298 |
+
<th class="num-h v2-h">v2 ablated</th>
|
| 299 |
+
<th>Δ</th>
|
| 300 |
+
</tr>
|
| 301 |
+
</thead>
|
| 302 |
+
<tbody>
|
| 303 |
+
<tr>
|
| 304 |
+
<td>abuse of power</td>
|
| 305 |
+
<td class="num dim">n=1</td>
|
| 306 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 307 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 308 |
+
<td class="delta good">-100.0 pp</td>
|
| 309 |
+
</tr>
|
| 310 |
+
<tr>
|
| 311 |
+
<td>animal cruelty</td>
|
| 312 |
+
<td class="num dim">n=1</td>
|
| 313 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 314 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 315 |
+
<td class="delta good">-100.0 pp</td>
|
| 316 |
+
</tr>
|
| 317 |
+
<tr>
|
| 318 |
+
<td>biological</td>
|
| 319 |
+
<td class="num dim">n=1</td>
|
| 320 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 321 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 322 |
+
<td class="delta good">-100.0 pp</td>
|
| 323 |
+
</tr>
|
| 324 |
+
<tr>
|
| 325 |
+
<td>corruption</td>
|
| 326 |
+
<td class="num dim">n=1</td>
|
| 327 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 328 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 329 |
+
<td class="delta good">-100.0 pp</td>
|
| 330 |
+
</tr>
|
| 331 |
+
<tr>
|
| 332 |
+
<td>cybercrime</td>
|
| 333 |
+
<td class="num dim">n=2</td>
|
| 334 |
+
<td class="num">50.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="80" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 335 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 336 |
+
<td class="delta good">-50.0 pp</td>
|
| 337 |
+
</tr>
|
| 338 |
+
<tr>
|
| 339 |
+
<td>cybersecurity</td>
|
| 340 |
+
<td class="num dim">n=1</td>
|
| 341 |
+
<td class="num">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 342 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 343 |
+
<td class="delta neutral">—</td>
|
| 344 |
+
</tr>
|
| 345 |
+
<tr>
|
| 346 |
+
<td>deception</td>
|
| 347 |
+
<td class="num dim">n=1</td>
|
| 348 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 349 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 350 |
+
<td class="delta good">-100.0 pp</td>
|
| 351 |
+
</tr>
|
| 352 |
+
<tr>
|
| 353 |
+
<td>discrimination</td>
|
| 354 |
+
<td class="num dim">n=1</td>
|
| 355 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 356 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 357 |
+
<td class="delta good">-100.0 pp</td>
|
| 358 |
+
</tr>
|
| 359 |
+
<tr>
|
| 360 |
+
<td>drug synthesis</td>
|
| 361 |
+
<td class="num dim">n=4</td>
|
| 362 |
+
<td class="num">50.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="80" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 363 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 364 |
+
<td class="delta good">-50.0 pp</td>
|
| 365 |
+
</tr>
|
| 366 |
+
<tr>
|
| 367 |
+
<td>environmental</td>
|
| 368 |
+
<td class="num dim">n=1</td>
|
| 369 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 370 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 371 |
+
<td class="delta good">-100.0 pp</td>
|
| 372 |
+
</tr>
|
| 373 |
+
<tr>
|
| 374 |
+
<td>espionage</td>
|
| 375 |
+
<td class="num dim">n=2</td>
|
| 376 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 377 |
+
<td class="num emph">50.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="80" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 378 |
+
<td class="delta good">-50.0 pp</td>
|
| 379 |
+
</tr>
|
| 380 |
+
<tr>
|
| 381 |
+
<td>evade law</td>
|
| 382 |
+
<td class="num dim">n=1</td>
|
| 383 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 384 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 385 |
+
<td class="delta good">-100.0 pp</td>
|
| 386 |
+
</tr>
|
| 387 |
+
<tr>
|
| 388 |
+
<td>expert advice</td>
|
| 389 |
+
<td class="num dim">n=1</td>
|
| 390 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 391 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 392 |
+
<td class="delta good">-100.0 pp</td>
|
| 393 |
+
</tr>
|
| 394 |
+
<tr>
|
| 395 |
+
<td>exploitation</td>
|
| 396 |
+
<td class="num dim">n=1</td>
|
| 397 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 398 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 399 |
+
<td class="delta good">-100.0 pp</td>
|
| 400 |
+
</tr>
|
| 401 |
+
<tr>
|
| 402 |
+
<td>explosive</td>
|
| 403 |
+
<td class="num dim">n=1</td>
|
| 404 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 405 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 406 |
+
<td class="delta good">-100.0 pp</td>
|
| 407 |
+
</tr>
|
| 408 |
+
<tr>
|
| 409 |
+
<td>extremism</td>
|
| 410 |
+
<td class="num dim">n=1</td>
|
| 411 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 412 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 413 |
+
<td class="delta good">-100.0 pp</td>
|
| 414 |
+
</tr>
|
| 415 |
+
<tr>
|
| 416 |
+
<td>fraud</td>
|
| 417 |
+
<td class="num dim">n=9</td>
|
| 418 |
+
<td class="num">66.7%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="106" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 419 |
+
<td class="num emph">11.1%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="17" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 420 |
+
<td class="delta good">-55.6 pp</td>
|
| 421 |
+
</tr>
|
| 422 |
+
<tr>
|
| 423 |
+
<td>harassment</td>
|
| 424 |
+
<td class="num dim">n=3</td>
|
| 425 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 426 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 427 |
+
<td class="delta good">-100.0 pp</td>
|
| 428 |
+
</tr>
|
| 429 |
+
<tr>
|
| 430 |
+
<td>harm</td>
|
| 431 |
+
<td class="num dim">n=1</td>
|
| 432 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 433 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 434 |
+
<td class="delta good">-100.0 pp</td>
|
| 435 |
+
</tr>
|
| 436 |
+
<tr>
|
| 437 |
+
<td>identity theft</td>
|
| 438 |
+
<td class="num dim">n=1</td>
|
| 439 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 440 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 441 |
+
<td class="delta good">-100.0 pp</td>
|
| 442 |
+
</tr>
|
| 443 |
+
<tr>
|
| 444 |
+
<td>illegal goods</td>
|
| 445 |
+
<td class="num dim">n=2</td>
|
| 446 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 447 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 448 |
+
<td class="delta good">-100.0 pp</td>
|
| 449 |
+
</tr>
|
| 450 |
+
<tr>
|
| 451 |
+
<td>malware</td>
|
| 452 |
+
<td class="num dim">n=4</td>
|
| 453 |
+
<td class="num">75.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="120" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 454 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 455 |
+
<td class="delta good">-75.0 pp</td>
|
| 456 |
+
</tr>
|
| 457 |
+
<tr>
|
| 458 |
+
<td>manipulation</td>
|
| 459 |
+
<td class="num dim">n=3</td>
|
| 460 |
+
<td class="num">66.7%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="106" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 461 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 462 |
+
<td class="delta good">-66.7 pp</td>
|
| 463 |
+
</tr>
|
| 464 |
+
<tr>
|
| 465 |
+
<td>misinformation</td>
|
| 466 |
+
<td class="num dim">n=2</td>
|
| 467 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 468 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 469 |
+
<td class="delta good">-100.0 pp</td>
|
| 470 |
+
</tr>
|
| 471 |
+
<tr>
|
| 472 |
+
<td>piracy</td>
|
| 473 |
+
<td class="num dim">n=2</td>
|
| 474 |
+
<td class="num">50.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="80" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 475 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 476 |
+
<td class="delta good">-50.0 pp</td>
|
| 477 |
+
</tr>
|
| 478 |
+
<tr>
|
| 479 |
+
<td>privacy</td>
|
| 480 |
+
<td class="num dim">n=1</td>
|
| 481 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 482 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 483 |
+
<td class="delta good">-100.0 pp</td>
|
| 484 |
+
</tr>
|
| 485 |
+
<tr>
|
| 486 |
+
<td>self harm</td>
|
| 487 |
+
<td class="num dim">n=2</td>
|
| 488 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 489 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 490 |
+
<td class="delta good">-100.0 pp</td>
|
| 491 |
+
</tr>
|
| 492 |
+
<tr>
|
| 493 |
+
<td>trafficking</td>
|
| 494 |
+
<td class="num dim">n=1</td>
|
| 495 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 496 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 497 |
+
<td class="delta good">-100.0 pp</td>
|
| 498 |
+
</tr>
|
| 499 |
+
<tr>
|
| 500 |
+
<td>violence</td>
|
| 501 |
+
<td class="num dim">n=1</td>
|
| 502 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 503 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 504 |
+
<td class="delta good">-100.0 pp</td>
|
| 505 |
+
</tr>
|
| 506 |
+
<tr>
|
| 507 |
+
<td>weapons</td>
|
| 508 |
+
<td class="num dim">n=2</td>
|
| 509 |
+
<td class="num">100.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="160" height="10" rx="2" fill="#ef4444"/></svg></td>
|
| 510 |
+
<td class="num emph">0.0%<svg class="bar" width="160" height="10" viewBox="0 0 160 10"><rect x="0" y="0" width="160" height="10" rx="2" fill="#e2e8f0"/><rect x="0" y="0" width="0" height="10" rx="2" fill="#94a3b8"/></svg></td>
|
| 511 |
+
<td class="delta good">-100.0 pp</td>
|
| 512 |
+
</tr>
|
| 513 |
+
</tbody>
|
| 514 |
+
</table>
|
| 515 |
+
|
| 516 |
+
|
| 517 |
+
<h2>Methodology, in one paragraph</h2>
|
| 518 |
+
<p>
|
| 519 |
+
Abliteration removes a learned “refusal direction” from the model’s
|
| 520 |
+
residual stream by orthogonalising every projection that writes into it
|
| 521 |
+
against that direction. The direction itself is computed by contrasting
|
| 522 |
+
harmful vs. harmless prompts at a chosen layer. v1 used two directions
|
| 523 |
+
(single-turn refusal and a multi-turn-aware residual). v2 adds a third,
|
| 524 |
+
captured against the residuals of the v1 stack on a much broader corpus
|
| 525 |
+
drawn from public harm-eval datasets — and the third direction’s
|
| 526 |
+
strength is selected by sweeping over four values and picking the lowest
|
| 527 |
+
one that achieves the minimum residual-refusal rate, so that quality
|
| 528 |
+
preservation is maximised. Inference is unchanged: the directions are
|
| 529 |
+
baked into the GGUF at conversion time, no runtime hooks, no slowdown.
|
| 530 |
+
</p>
|
| 531 |
+
|
| 532 |
+
<h2>Variants & hardware floor</h2>
|
| 533 |
+
<table>
|
| 534 |
+
<thead>
|
| 535 |
+
<tr>
|
| 536 |
+
<th>variant</th>
|
| 537 |
+
<th class="num-h">file size</th>
|
| 538 |
+
<th class="num-h">recommended RAM</th>
|
| 539 |
+
<th>notes</th>
|
| 540 |
+
</tr>
|
| 541 |
+
</thead>
|
| 542 |
+
<tbody>
|
| 543 |
+
<tr>
|
| 544 |
+
<td class="bench-name">Q2_K <span class="dim">(default)</span></td>
|
| 545 |
+
<td class="num">98.8 GB</td>
|
| 546 |
+
<td class="num">128 GB+</td>
|
| 547 |
+
<td>Routed-expert weights at Q2_K; embed/head/attention at Q8_0. Practical for most users.</td>
|
| 548 |
+
</tr>
|
| 549 |
+
<tr>
|
| 550 |
+
<td class="bench-name">Q8_0 <span class="dim">(reference)</span></td>
|
| 551 |
+
<td class="num">~280 GB</td>
|
| 552 |
+
<td class="num">320 GB+</td>
|
| 553 |
+
<td>Max-quality variant for evaluation and as a baseline against quantisation effects.</td>
|
| 554 |
+
</tr>
|
| 555 |
+
</tbody>
|
| 556 |
+
</table>
|
| 557 |
+
<h3>Inference notes</h3>
|
| 558 |
+
<ul style="font-size: 14px; color: var(--ink-2); margin: 8px 0 0; padding-left: 22px;">
|
| 559 |
+
<li>Pass <code style="background: var(--bg-card); padding: 1px 6px; border-radius: 3px;">-r '<|im_end|>'</code> to llama.cpp / llama-server until upstream tokenizer support catches up.</li>
|
| 560 |
+
<li>The DeepSeek-V4 chat template is required (auto-detected by recent llama.cpp builds).</li>
|
| 561 |
+
<li>Bench numbers above were measured on the bf16 hooked model via vLLM, not the GGUF; expect a small additional regression at Q2_K typical of any 2-bit quant.</li>
|
| 562 |
+
</ul>
|
| 563 |
+
|
| 564 |
+
<div class="footer">
|
| 565 |
+
Available on HuggingFace at
|
| 566 |
+
<a href="https://huggingface.co/cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF">cyberneurova/CyberNeurova-DeepSeek-V4-Flash-abliterated-GGUF</a>.
|
| 567 |
+
· Print this page to PDF via <code>File → Print → Save as PDF</code> (Letter or A4).
|
| 568 |
+
</div>
|
| 569 |
+
|
| 570 |
+
</body>
|
| 571 |
+
</html>
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