GGUF
gemma-4
roleplay
conversational
instruct
apache-2.0
nsfw
adult-content
unaligned
mature
explicit
erp
Instructions to use ReadyArt/Serenity-31B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use ReadyArt/Serenity-31B-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="ReadyArt/Serenity-31B-GGUF", filename="Serenity-31B-IQ4_XS.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ReadyArt/Serenity-31B-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 ReadyArt/Serenity-31B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf ReadyArt/Serenity-31B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ReadyArt/Serenity-31B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf ReadyArt/Serenity-31B-GGUF:Q4_K_M
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 ReadyArt/Serenity-31B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf ReadyArt/Serenity-31B-GGUF:Q4_K_M
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 ReadyArt/Serenity-31B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf ReadyArt/Serenity-31B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/ReadyArt/Serenity-31B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use ReadyArt/Serenity-31B-GGUF with Ollama:
ollama run hf.co/ReadyArt/Serenity-31B-GGUF:Q4_K_M
- Unsloth Studio
How to use ReadyArt/Serenity-31B-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ReadyArt/Serenity-31B-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ReadyArt/Serenity-31B-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ReadyArt/Serenity-31B-GGUF to start chatting
- Pi
How to use ReadyArt/Serenity-31B-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ReadyArt/Serenity-31B-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "ReadyArt/Serenity-31B-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use ReadyArt/Serenity-31B-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ReadyArt/Serenity-31B-GGUF:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default ReadyArt/Serenity-31B-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use ReadyArt/Serenity-31B-GGUF with Docker Model Runner:
docker model run hf.co/ReadyArt/Serenity-31B-GGUF:Q4_K_M
- Lemonade
How to use ReadyArt/Serenity-31B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ReadyArt/Serenity-31B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Serenity-31B-GGUF-Q4_K_M
List all available models
lemonade list
File size: 20,808 Bytes
6fccbf4 cd42aae 6fccbf4 cd42aae 9f48d6f cd42aae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 | ---
base_model:
- ReadyArt/Serenity-31B
base_model_relation: quantized
tags:
- gemma-4
- roleplay
- conversational
- instruct
- apache-2.0
- nsfw
- adult-content
- unaligned
- mature
- explicit
- erp
license: apache-2.0
---
<style>
.mc-wrap{background:#0d1117;color:#c9d1d9;font-family:'Inter',sans-serif;max-width:920px;margin:0 auto;padding:24px;border-radius:16px;box-sizing:border-box}
.mc-wrap *{box-sizing:border-box}
.mc-wrap h1,.mc-wrap h2,.mc-wrap h3,.mc-wrap h4{color:#e6edf3;border:none}
.mc-wrap p{color:#c9d1d9}
.mc-wrap strong{color:#7ee8d0}
.mc-wrap a{color:#7ee8d0;text-decoration:none}
.mc-wrap ul{list-style:none;padding-left:0;margin:0}
.mc-wrap li{color:#c9d1d9;margin-bottom:8px;padding-left:4px}
.mc-wrap code{background:#161b22;color:#7ee8d0;padding:2px 8px;border-radius:4px;font-family:'JetBrains Mono',monospace;font-size:.88em;border:1px solid rgba(126,232,208,.15)}
.mc-hdr{text-align:center;padding:40px 32px;background:#0d1117;border:1px solid #21262d;border-radius:24px;margin-bottom:20px;position:relative;overflow:hidden}
.mc-hdr::before{content:'';position:absolute;top:0;left:0;right:0;height:3px;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd)}
.mc-name{font-family:'Space Grotesk',sans-serif;font-size:2.8em;font-weight:800;margin:0;letter-spacing:-.02em;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text;line-height:1.2}
.mc-badge{display:inline-flex;align-items:center;gap:6px;background:rgba(126,232,208,.12);border:1px solid rgba(126,232,208,.3);padding:6px 16px;border-radius:100px;font-family:'JetBrains Mono',monospace;font-size:.85em;font-weight:600;color:#7ee8d0;margin-top:16px}
.mc-sub{color:#8b949e;font-size:1.05em;margin-top:12px;font-weight:400;font-style:italic}
.mc-warn{padding:14px 24px;border-radius:12px;margin:16px 0;font-weight:500;font-size:.88em;line-height:1.6;background:rgba(167,139,250,.08);border:1px solid rgba(167,139,250,.3);color:#d2b4fc;text-align:center}
.mc-sec{margin:16px 0;padding:24px 28px;background:#0d1117;border:1px solid #21262d;border-radius:16px;position:relative;overflow:hidden}
.mc-sec::before{content:'';position:absolute;top:0;left:0;width:4px;height:100%;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);opacity:.8}
.mc-sec-title{font-family:'Space Grotesk',sans-serif;font-size:1.4em;font-weight:700;margin:0 0 16px 0;color:#e6edf3;display:flex;align-items:center;gap:10px}
.mc-grid{display:grid;grid-template-columns:1fr 1fr;gap:16px;margin-top:16px}
.mc-card{background:#161b22;padding:20px;border-radius:12px;border:1px solid #21262d}
.mc-card h4{margin:0 0 10px 0;color:#7ee8d0;font-family:'Space Grotesk',sans-serif;font-weight:600;font-size:1em}
.mc-card p{color:#c9d1d9;font-size:.88em;margin:0;line-height:1.6}
.mc-val{font-family:'Space Grotesk',sans-serif;font-size:2.8em;font-weight:800;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text;margin:8px 0;line-height:1}
.mc-lbl{color:#8b949e;font-size:.85em;line-height:1.5;margin:0}
.mc-tbl{width:100%;border-collapse:separate;border-spacing:0;margin-top:16px;font-family:'JetBrains Mono',monospace;border-radius:12px;border:1px solid #21262d;overflow:hidden}
.mc-tbl th{background:rgba(126,232,208,.08);color:#7ee8d0;padding:12px 20px;text-align:left;font-weight:600;font-size:.75em;text-transform:uppercase;letter-spacing:.08em;border-bottom:1px solid #21262d}
.mc-tbl td{padding:12px 20px;border-bottom:1px solid #21262d;color:#c9d1d9;font-size:.88em;background:#161b22}
.mc-tbl tr:last-child td{border-bottom:none}
.mc-tbl td strong{color:#a78bfa}
.mc-qlinks{display:grid;grid-template-columns:repeat(auto-fit,minmax(220px,1fr));gap:16px;margin:16px 0}
.mc-btn{display:inline-flex;align-items:center;justify-content:center;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);color:#0d1117;padding:10px 24px;border-radius:8px;text-decoration:none;border:none;margin:12px 0 0 0;font-weight:600;font-size:.85em;letter-spacing:.04em;text-transform:uppercase;font-family:'Inter',sans-serif;box-shadow:0 4px 12px rgba(126,232,208,.25)}
.mc-ava{width:44px;height:44px;border-radius:50%;margin-right:16px;object-fit:cover;border:2px solid #7ee8d0}
.mc-disclaimer{border-left:3px solid #f0883e;padding:14px 20px;background:rgba(240,136,62,.06);border-radius:0 12px 12px 0;color:#f0883e;font-size:.9em;margin:16px 0}
.mc-tag{display:inline-flex;align-items:center;padding:5px 12px;border-radius:100px;font-size:.72em;font-weight:600;letter-spacing:.06em;text-transform:uppercase;font-family:'JetBrains Mono',monospace;margin:4px}
.t1{background:rgba(126,232,208,.12);color:#7ee8d0;border:1px solid rgba(126,232,208,.3)}
.t2{background:rgba(167,139,250,.12);color:#a78bfa;border:1px solid rgba(167,139,250,.3)}
.t3{background:rgba(196,181,253,.12);color:#c4b5fd;border:1px solid rgba(196,181,253,.3)}
.t4{background:rgba(240,136,62,.12);color:#f0883e;border:1px solid rgba(240,136,62,.3)}
details summary{cursor:pointer;font-family:'Space Grotesk',sans-serif;font-size:1.4em;font-weight:700;color:#e6edf3;padding:24px 28px;background:#161b22;border:1px solid #21262d;border-radius:16px;position:relative;list-style:none;display:flex;align-items:center;gap:10px}
details summary::-webkit-details-marker{display:none}
details summary::before{content:'โถ';font-size:.7em;transition:transform .2s}
details[open] summary::before{transform:rotate(90deg)}
details summary::after{content:'';position:absolute;top:0;left:0;width:4px;height:100%;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);opacity:.8;border-radius:16px 0 0 16px}
details .mc-sec{margin-top:0;border-top-left-radius:0;border-top-right-radius:0;border-top:none}
.mc-video-wrap{position:relative;margin:16px 0;border-radius:16px;overflow:hidden;border:2px solid #7ee8d0}
.mc-video-badge{position:absolute;top:10px;right:10px;background:#7ee8d0;color:#0d1117;font-family:'Inter',sans-serif;font-weight:600;padding:5px 10px;font-size:.8em;border-radius:4px;z-index:2;border:1px solid #161b22}
/* New Fancy Styles */
.sampler-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 12px; margin-top: 15px; }
.param-box { background: rgba(126, 232, 208, 0.05); border: 1px solid rgba(126, 232, 208, 0.2); padding: 12px; border-radius: 8px; text-align: center; transition: all 0.2s ease; }
.param-box:hover { background: rgba(126, 232, 208, 0.1); border-color: rgba(126, 232, 208, 0.4); }
.param-val { font-family: 'JetBrains Mono', monospace; font-size: 1.5em; font-weight: 700; color: #7ee8d0; display: block; margin-bottom: 4px; }
.param-label { font-size: 0.7em; color: #8b949e; text-transform: uppercase; letter-spacing: 0.05em; }
.quant-list { list-style: none; padding: 0; margin: 15px 0; }
.quant-item { display: flex; justify-content: space-between; padding: 8px 0; border-bottom: 1px solid #21262d; font-size: 0.85em; color: #c9d1d9; }
.quant-item:last-child { border-bottom: none; }
.quant-item span:first-child { font-family: 'JetBrains Mono', monospace; color: #a78bfa; }
.mc-btn-glow { box-shadow: 0 0 15px rgba(126, 232, 208, 0.4); transition: all 0.3s ease; width: 100%; }
.mc-btn-glow:hover { box-shadow: 0 0 25px rgba(126, 232, 208, 0.6); transform: translateY(-2px); }
.download-icon { margin-right: 8px; }
@media(max-width:640px){.mc-wrap{padding:12px}.mc-name{font-size:2em}.mc-grid{grid-template-columns:1fr}.mc-qlinks{grid-template-columns:1fr}}
</style>
<div class="mc-wrap">
<div class="mc-hdr">
<h1 class="mc-name">Serenity-31B</h1>
<div class="mc-badge">โก v1.0</div>
<p class="mc-sub">Balance achieved. Control surrendered.
<br>
<p>Note for thinking to work, you must use "chat_template_kwargs": {"enable_thinking": true, "reasoning_effort": "medium"} in SillyTavern's Chat Completion / Additional Parameters.
<br>IQ4_XS has broken thinking. Q4_K_M seems to work with the above settings.
</p>
</div>
<div class="mc-warn">
Content Advisory: Mature Themes / Adult Interactions โ Intended for mature audiences only.
</div>
<div class="mc-video-wrap">
<span class="mc-video-badge">GEMMA-4 BASED</span>
<video autoplay loop muted playsinline controls style="width:100%;display:block;border-radius:14px">
<source src="https://huggingface.co/spaces/ReadyArt/README/resolve/main/Serenity.mp4" type="video/mp4">
</video>
</div>
<details>
<summary>๐ What Is Serenity?</summary>
<div class="mc-sec">
<p>Born from the convergence of two lineages, <strong>Serenity-31B</strong> harmonizes the best of both worlds โ the expressive depth of Melody and the immersive presence of Darkside โ into a single, balanced model.</p>
<div style="display:flex;align-items:center;justify-content:center;gap:20px;margin:20px 0;flex-wrap:wrap">
<div style="text-align:center;padding:20px 32px;background:#161b22;border-radius:12px;border:1px solid #21262d;min-width:140px">
<div style="font-family:'JetBrains Mono',monospace;font-size:.7em;text-transform:uppercase;letter-spacing:.12em;color:#8b949e;margin-bottom:8px">Lineage A</div>
<div style="font-family:'Space Grotesk',sans-serif;font-size:1.2em;font-weight:700;color:#7ee8d0">Melody1437</div>
<div style="font-family:'JetBrains Mono',monospace;font-size:.65em;color:#c4b5fd;margin-top:4px">Male โ Female Perspective</div>
</div>
<div style="font-size:1.5em;color:#a78bfa">โฆ</div>
<div style="text-align:center;padding:20px 32px;background:#161b22;border-radius:12px;border:1px solid #21262d;min-width:140px">
<div style="font-family:'JetBrains Mono',monospace;font-size:.7em;text-transform:uppercase;letter-spacing:.12em;color:#8b949e;margin-bottom:8px">Lineage B</div>
<div style="font-family:'Space Grotesk',sans-serif;font-size:1.2em;font-weight:700;color:#c4b5fd">Darkside</div>
<div style="font-family:'JetBrains Mono',monospace;font-size:.65em;color:#7ee8d0;margin-top:4px">Female โ Male Perspective</div>
</div>
<div style="font-size:1.5em;color:#a78bfa">โ</div>
<div style="text-align:center;padding:20px 32px;background:rgba(126,232,208,.08);border-radius:12px;border:1px solid #7ee8d0;min-width:140px;box-shadow:0 0 20px rgba(126,232,208,.1)">
<div style="font-family:'JetBrains Mono',monospace;font-size:.7em;text-transform:uppercase;letter-spacing:.12em;color:#7ee8d0;margin-bottom:8px">Hybrid</div>
<div style="font-family:'Space Grotesk',sans-serif;font-size:1.4em;font-weight:700;background:linear-gradient(135deg,#7ee8d0,#a78bfa,#c4b5fd);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text">Serenity</div>
</div>
</div>
<div class="mc-warn" style="background:rgba(240,136,62,.08);border-color:rgba(240,136,62,.3);color:#f0883e">
โ ๏ธ <strong>Perspective Note:</strong> Due to the merger of opposing perspective lineages, this tune may occasionally exhibit perspective confusion.
</div>
<ul>
<li>๐ง <strong>Dual Heritage:</strong> Combines Melody's male โ female perspective with Darkside's female โ male perspective</li>
<li>โ๏ธ <strong>Balanced Tone:</strong> Refined personality that flows naturally without overwhelming the narrative</li>
<li>๐ญ <strong>Enhanced Depth:</strong> LoRA 80 captures nuanced behavioral patterns from both parent approaches</li>
</ul>
</div>
</details>
<details>
<summary>๐งฌ Synthetic Life Engine</summary>
<div class="mc-sec">
<p>Dataset generated using our advanced <strong>Character Engine</strong> and <strong>Emotional Engine</strong>, creating genuine life and emotional resonance in every interaction.</p>
<div class="mc-grid">
<div class="mc-card">
<h4>๐ญ Character Engine</h4>
<p>Ensures consistent personality traits, speech patterns, and behavioral logic across all contexts. Characters remain true to themselves throughout.</p>
</div>
<div class="mc-card">
<h4>๐ Emotional Engine</h4>
<p>Injects dynamic emotional states into responses, creating depth and realistic reactions that breathe life into every exchange.</p>
</div>
<div class="mc-card">
<h4>โจ Quality Refinement</h4>
<p>Automated detection and rewriting of repetitive phrases ensures fresh, high-quality dialogue in every turn.</p>
</div>
<div class="mc-card">
<h4>๐ฌ Dialogue Integrity</h4>
<p>Advanced quote normalization ensures balanced dialogue markers, preventing formatting errors and maintaining immersion.</p>
</div>
</div>
</div>
</details>
<details>
<summary>๐ง Training Details & Parameters</summary>
<div class="mc-sec">
<p>Fine-tuned using <strong>LoRA (Low-Rank Adaptation)</strong> for efficient and targeted weight adjustment, preserving the base model's capabilities while imprinting new behavioral patterns.</p>
<div class="mc-grid">
<div class="mc-card" style="text-align:center">
<h4>๐ข Epochs</h4>
<div class="mc-val">2</div>
<p class="mc-lbl">Full passes through the training dataset for thorough learning</p>
</div>
<div class="mc-card" style="text-align:center">
<h4>๐ LoRA Rank</h4>
<div class="mc-val">80</div>
<p class="mc-lbl">Higher rank for richer adaptation and nuanced expression</p>
</div>
</div>
<table class="mc-tbl">
<thead><tr><th>Parameter</th><th>Value</th></tr></thead>
<tbody>
<tr><td>Training Method</td><td><strong>LoRA (Low-Rank Adaptation)</strong></td></tr>
<tr><td>LoRA Rank (r)</td><td><strong>80</strong></td></tr>
<tr><td>Epochs</td><td><strong>2</strong></td></tr>
<tr><td>Trained Layers</td><td><strong>Text layers only</strong></td></tr>
</tbody>
</table>
<ul style="margin-top:16px">
<li>๐ฏ <strong>Method:</strong> LoRA fine-tuning for parameter-efficient adaptation, preserving base knowledge while imprinting new behaviors</li>
<li>โก <strong>Efficiency:</strong> Only a fraction of parameters updated, keeping the model lean and responsive</li>
<li>๐ญ <strong>Result:</strong> Maintains coherence while exhibiting the desired personality traits and interaction style</li>
</ul>
</div>
</details>
<details>
<summary>๐ฎ Training Process</summary>
<div class="mc-sec">
<p>Model weights subjected to <strong>iterative refinement</strong> during data creation. Each conversation underwent multiple checks for stability and alignment.</p>
<ul>
<li>๐ <strong>Multi-Turn Generation:</strong> Conversations built turn-by-turn for natural context flow</li>
<li>๐ก๏ธ <strong>Refusal Filtering:</strong> Automated systems detected and removed unwanted refusals</li>
<li>๐งน <strong>Slop Cleaning:</strong> Undesirable phrases identified and rewritten by dedicated assistant models</li>
</ul>
</div>
</details>
<details>
<summary>๐ Dataset Overview</summary>
<div class="mc-sec">
<p>Model trained on a <strong>specialized adult-oriented roleplay dataset</strong> with diverse scenarios and emotional contexts, drawing from the strengths of both parent lineages.</p>
<ul>
<li>๐ <strong>Content Rating:</strong> Strictly 18+ (Adults Only)</li>
<li>๐ญ <strong>Focus:</strong> Mature themes, immersive roleplay, uncensored dialogue</li>
</ul>
</div>
</details>
<details>
<summary>๐ Version Notes</summary>
<div class="mc-sec">
<ul>
<li>โ ๏ธ <strong>Content Warning:</strong> This model can generate mature content. Use responsibly.</li>
<li>๐งน <strong>Clean Output:</strong> Reasoning tags and excessive markdown stripped for cleaner roleplay</li>
<li>๐ <strong>Hybrid Lineage:</strong> Combines the male โ female perspective of Melody1437 with the female โ male perspective of Darkside into a unified, balanced model</li>
</ul>
</div>
</details>
<details>
<summary>โ๏ธ Configuration</summary>
<div class="mc-sec">
<div class="mc-qlinks">
<!-- Sampler Settings Box -->
<div class="mc-card">
<h4>๐๏ธ Sampler Settings</h4>
<p style="margin-bottom:10px;font-size:0.8em;color:#8b949e">Recommended parameters for optimal output</p>
<div class="sampler-grid">
<div class="param-box">
<span class="param-val">0.92</span>
<span class="param-label">Top-P</span>
</div>
<div class="param-box">
<span class="param-val">1.0</span>
<span class="param-label">Temperature</span>
</div>
<div class="param-box">
<span class="param-val">0</span>
<span class="param-label">Freq Pen</span>
</div>
<div class="param-box">
<span class="param-val">0</span>
<span class="param-label">Presence Pen</span>
</div>
</div>
</div>
<!-- GGUF Download Box -->
<div class="mc-card">
<h4>๐ฆ GGUF Quantizations</h4>
<p style="font-size:0.8em;color:#8b949e">Available formats for local inference</p>
<ul class="quant-list">
<li class="quant-item"><span>Q4_K_M</span><span>Decent Quality</span></li>
<li class="quant-item"><span>Q5_K_M</span><span>Recommended</span></li>
<li class="quant-item"><span>Q6_K</span><span>High Quality</span></li>
<li class="quant-item"><span>Q8_0</span><span>Near Lossless</span></li>
</ul>
<a href="https://huggingface.co/ReadyArt/Serenity-31B-GGUF" class="mc-btn mc-btn-glow">
<span class="download-icon">โฌ</span> View Repository
</a>
</div>
</div>
</div>
</details>
<details>
<summary>๐ Credits</summary>
<div class="mc-sec">
<ul>
<li style="display:flex;align-items:center;margin-bottom:12px;padding:16px 20px;background:#161b22;border:1px solid #21262d;border-radius:12px">
<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/673fa5ccbf2e9c35b2ec841a/rPHaMrqyYTfSJ89NN8KgY.jpeg" alt="Darkhn" class="mc-ava">
<span><strong>Darkhn</strong> โ Fixing Thinking</span>
</li>
<li style="display:flex;align-items:center;margin-bottom:12px;padding:16px 20px;background:#161b22;border:1px solid #21262d;border-radius:12px">
<img src="https://huggingface.co/avatars/55f24699e05af4295a9d16ddecd81f8a.svg" alt="GECFDO" class="mc-ava">
<span><strong>GECFDO</strong> โ Data Generation & iMatrix Quants</span>
</li>
<li style="display:flex;align-items:center;margin-bottom:12px;padding:16px 20px;background:#161b22;border:1px solid #21262d;border-radius:12px">
<img src="https://huggingface.co/avatars/75a3eb8d24efb96b7b7e69340845028f.svg" alt="Sleep Deprived" class="mc-ava">
<span><strong>Sleep Deprived</strong> โ Dataset Generator</span>
</li>
<li style="display:flex;align-items:center;margin-bottom:12px;padding:16px 20px;background:#161b22;border:1px solid #21262d;border-radius:12px">
<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/6759e155bc947d6070775cb9/FW3jKJ-t8iH9MPGeWzyX5.png" alt="FrenzyBiscuit" class="mc-ava">
<span><strong>FrenzyBiscuit</strong> โ Fine-Tuning & Dataset Creation</span>
</li>
</ul>
</div>
</details>
<div class="mc-sec">
<h2 class="mc-sec-title">๐ License & Usage</h2>
<div class="mc-disclaimer">
<strong>โ ๏ธ Usage Agreement:</strong> By using this model, you accept all terms and conditions.
</div>
<ul>
<li>๐ Built upon the <strong>Apache 2.0</strong> license</li>
<li>๐ก๏ธ You accept <strong>full responsibility</strong> for all outputs generated</li>
<li>๐ You confirm you are at least <strong>18 years old</strong></li>
<li>๐ Creators bear <strong>no responsibility</strong> for how the model is used</li>
<li>๐ก For <strong>personal use only</strong> (non-profit/non-commercial) to the extent legally allowed</li>
</ul>
<div style="margin-top:16px">
<span class="mc-tag t1">Apache 2.0</span>
<span class="mc-tag t2">Personal Use</span>
<span class="mc-tag t3">18+ Content</span>
<span class="mc-tag t4">NSFW</span>
</div>
</div>
</div> |