strong {
color: #FF1493 !important;
}
body {
font-family: 'Quicksand', sans-serif;
background: linear-gradient(135deg, #d6e3ff 0%, #c0d0ff 100%);
color: #0077ff !important;
text-shadow: 0 0 3px rgba(192, 203, 255, 0.7);
margin: 0;
padding: 20px;
transition: all 0.5s ease;
}
@media (prefers-color-scheme: light) {
body {
background: linear-gradient(135deg, #e6eeff 0%, #d1dcff 100%);
color: #005ed4 !important;
text-shadow: 0 0 3px rgba(255, 255, 255, 0.7);
}
}
.container {
min-width: 100%;
margin: 0 auto;
max-width: 1200px;
background: rgba(220, 235, 255, 0.95);
border-radius: 12极;
padding: 30px;
box-shadow: 0 0 20px rgba(105, 180, 255, 0.1);
border: 1px solid rgba(20, 147, 255, 0.2);
position: relative;
overflow: hidden;
}
.container::before {
content: '';
position: absolute;
top: -1px;
left: -1px;
right: -1px;
bottom: -1px;
border: 1px solid rgba(105, 180, 255, 0.5);
border-radius: 12px;
pointer-events: none;
animation: borderGlow 3s ease-in-out infinite alternate;
}
@keyframes borderGlow {
0% {
box-shadow: 0 0 5px rgba(105, 180, 255, 0.3);
border-color: rgba(105, 180, 255, 0.5);
}
50% {
box-shadow: 0 0 15px rgba(0, 127, 255, 0.3);
border-color: rgba(0, 127, 255, 0.5);
}
100% {
box-shadow: 0 0 5px rgba(105, 180, 255, 0.3);
border-color: rgba(105, 180, 255, 0.5);
}
}
.header {
text-align: center;
margin-bottom: 30px;
position: relative;
}
.header::after {
content: '';
position: absolute;
bottom: -15px;
left: 25%;
right: 25%;
height: 1px;
background: linear-gradient(90deg, transparent, rgba(20, 147, 255, 0.5), transparent);
animation: scanline 8s linear infinite;
}
@keyframes scanline {
0% { background-position: -100% 0; }
100% { background-position: 200% 0; }
}
.model-name {
color: #1493ff;
font-size: 2.5em;
text-shadow: 0 0 15px rgba(20, 147, 255, 0.5);
margin: 0;
letter-spacing: -1px;
animation: textGlow 4s ease-in-out infinite alternate;
}
@keyframes textGlow {
0% { text-shadow: 0 0 15px rgba(20, 147, 255, 0.5); }
50% { text-shadow: 0 0 20px rgba(0, 127, 255, 0.5); }
100% { text-shadow: 0 0 15px rgba(20, 147, 255, 0.5); }
}
.subtitle {
color: #69b4ff;
font-size: 1.2em;
margin-top: 10px;
animation: subtitleFade 6s ease-in-out infinite;
}
@keyframes subtitleFade {
0%, 100% { opacity: 0.8; }
50% { opacity: 1; }
}
.waifu-container {
margin: 20px -30px;
width: calc(100% + 60px);
overflow: hidden;
border-radius: 8px;
border: 1px solid rgba(105, 180, 255, 0.3);
position: relative;
}
.waifu-container::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: linear-gradient(45deg,
rgba(105, 180, 255, 0.1) 0%,
transparent 20%,
transparent 80%,
rgba(0, 127, 255, 0.1) 100%);
pointer-events: none;
animation: gradientSlide 10s linear infinite;
}
@keyframes gradientSlide {
0% { background-position: 0% 0%; }
100% { background-position: 100% 100%; }
}
.waifu-img {
width: 100%;
height: auto;
border-radius: 0;
border: none;
box-shadow: 0 0 40px rgba(20, 147, 255, 0.2);
transition: transform 0.5s ease;
}
.waifu-img:hover {
transform: scale(1.01);
}
.section {
color: #005ed4;
margin: 25px 0;
padding: 20px;
background: rgba(228, 240, 255, 0.9);
border-radius: 8px;
border: 1px solid rgba(105, 180, 255, 0.15);
position: relative;
transition: all 0.3s ease;
}
.section:hover {
border-color: rgba(0, 127, 255, 0.3);
box-shadow: 0 0 15px rgba(20, 147, 255, 0.1);
}
.section::before {
content: '';
position: absolute;
top: -1px;
left: -1px;
right: -1px;
bottom: -1px;
border: 1px solid rgba(105, 180, 255, 0.3);
border-radius: 8px;
pointer-events: none;
animation: sectionPulse 5s ease-in-out infinite;
}
@keyframes sectionPulse {
0%, 100% { opacity: 0.7; }
50% { opacity: 0.3; }
}
.section-title {
color: #1493ff;
font-size: 1.8em;
margin-top: 0;
text-shadow: 0 0 5px rgba(20, 147, 255, 0.3);
position: relative;
display: inline-block;
}
.section-title::after {
content: '';
position: absolute;
bottom: -5px;
left: 0;
width: 100%;
height: 1px;
background: linear-gradient(90deg, rgba(20, 147, 255, 0.5), rgba(0, 127, 255, 0.5));
transform: scaleX(0);
transform-origin: left;
transition: transform 0.3s ease;
}
.section:hover .section-title::after {
transform: scaleX(1);
}
.quant-links {
display: grid;
grid-template-columns: repeat(1, 1fr);
gap: 15px;
margin: 20px 0;
}
.link-card {
padding: 15px;
background: rgba(228, 240, 255, 0.95);
border-radius: 8px;
transition: all 0.3s ease;
border: 1px solid rgba(105, 180, 255, 0.1);
position: relative;
overflow: hidden;
}
.link-card::before {
content: '';
position: absolute;
top: 0;
left: 0;
right: 0;
height: 2px;
background: linear-gradient(90deg, rgba(20, 147, 255, 0.5), rgba(0, 127, 255, 0.5));
animation: cardScan 4s linear infinite;极
}
@keyframes cardScan {
0% { transform: translateX(-100%); }
100% { transform: translateX(100%); }
}
.link-card:hover {
transform: translateY(-3px);
box-shadow: 0 5px 15px rgba(20, 147, 255, 0.2);
border-color: rgba(0, 127极, 255, 0.3);
}
.link-card h3 {
margin-top: 0;
color: #005ed4 !important;
}
.link-button {
display: inline-flex;
align-items: center;
background: rgba(20, 147, 255, 0.1);
color: #005ed4 !important;
padding: 8px 15px;
border-radius: 6px;
text-decoration: none;
border: 1px solid rgba(20, 147, 255, 0.3);
margin: 5px 0;
transition: all 0.3s ease;
font-size: 0.95em;
position: relative;
overflow: hidden;
}
.link-button::before {
content: '';
position: absolute;
top: 0;
left: -100%;
width: 100%;
height: 100%;
background: linear-gradient(90deg, transparent, rgba(255, 255, 255, 0.2), transparent);
transition: all 0.5s ease;
}
.link-button:hover {
background: rgba(20, 147, 255, 0.2);
border-color: rgba(20, 147, 255, 0.5);
transform: translateY(-2px);
box-shadow: 0 4px 12px rgba(20, 147, 255, 0.2);
}
.link-button:hover::before {
left: 100%;
}
.link-button::after {
content: '→';
margin-left: 8px;
opacity: 0.7;
transition: all 0.3s ease;
}
.link-button:hover::after {
transform: translateX(3px);
opacity: 1;
}
.button-group {
display: flex;
flex-wrap: wrap;
gap: 10px;
margin: 15px 0;
}
.disclaimer {
color: #1570C7;
border-left: 3px solid #1570C7;
padding-left: 15px;
margin: 20px 0;
position: relative;
}
.disclaimer::before {
content: '⚠️';
position: absolute;
left: -10px;
top: 0;
transform: translateX(-100%);
animation: pulse 2s ease-in-out infinite;
}
@keyframes pulse {
0%, 100% { opacity: 1; }
50% { opacity: 0.5; }
}
.badge {
display: inline-block;
padding: 5px 10px;
border-radius: 5px;
background: rgba(20, 147, 255, 0.1);
border: 1px solid #1493ff;
margin: 5px;
font-size: 0.9em;
animation: badgePulse 3s ease-in-out infinite;
}
@keyframes badgePulse {
0%, 100% { box-shadow: 0 0 5px rgba(20, 147, 255, 0.3); }
50% { box-shadow: 0 0 10px rgba(20, 147, 255, 0.5); }
}
/ Light mode adjustments /
@media (prefers-color-scheme: light) {
.container {
background: rgba(240, 245, 255, 0.95);
border-color: rgba(0, 100, 200, 0.3);
}
.model-name, .section-title, .subtitle {
color: #005ed4;
text-shadow: 0 0 5px rgba(0, 127, 255, 0.3);
}
.section {
background: rgba(240, 245, 255, 0.9);
border-color: rgba(0, 100, 200, 0.2);
color: #005d8b;
}
.section p,
.section ul li,
.section > p > strong {
color: #005ed4 !important;
}
.link-card {
background: rgba(228, 240, 255, 0.95);
border-color: rgba(0, 100, 200, 0.2);
}
.link-card h3 {
color: #005d8b !important;
}
.link-button {
background: rgba(0, 100, 200, 0.1);
color: #005d8b !important;
border-color: rgba(0, 100, 200, 0.3);
}
.link-button:hover {
background: rgba(0, 100, 200, 0.2);
border-color: rgba(0, 100, 200, 0.5);
}
.disclaimer {
color: #005ed4;
border-color: #005ed4;
}
.badge {
border-color: #005ed4;
background: rgba(0, 100, 200, 0.1);
}
}
Broken-Tutu-24B-Transgression-v2.0
Enhanced coherence with reduced explicit content
🧠 Transgression Techniques
This evolution of Broken-Tutu delivers unprecedented coherence with reduced explicit content using classic "Transgression" techniques:
🧬 Expanded 43M Token Dataset - First ReadyArt model with multi-turn conversational data
✨ 100% Unslopped Dataset - New techniques used to generate the dataset with 0% slop
⚡ Enhanced Character Integrity - Maintains character authenticity while reducing explicit content
🛡️ Anti-Impersonation Guards - Never speaks or acts for the user
💎 Rebuilt from Ground Up - Optimized training settings for superior performance
📜 Direct Evolution - Leveraging the success of Broken-Tutu, we finetuned directly on top of the legendary model
🌟 Fuel the Revolution
This model represents thousands of hours of passionate development. If it enhances your experience, consider supporting our work:
Support on Ko-fi
Every contribution helps us keep pushing boundaries in AI. Thank you for being part of the revolution!
⚙️ Technical Specifications
Key Training Details:
Base Model: mistralai/Mistral-Small-24B-Instruct-2501
Training Method: QLoRA with DeepSpeed Zero3
Sequence Length: 5120 (100% samples included)
Learning Rate: 2e-6 with cosine scheduler
Recommended Settings for true-to-character behavior: Mistral-V7-Tekken-T8-XML
GGUF
Q2_K (9.0GB)
Q3_K_S (10.5GB)
Q3_K_M (11.6GB)
Q3_K_L (12.5GB)
IQ4_XS (13.0GB)
Q4_K_S (13.6GB)
Q4_K_M (14.4GB)
Q5_K_S (16.4GB)
Q5_K_M (16.9GB)
Q6_K (19.4GB)
Q8_0 (25.2GB)
Notes: Q4_K_S/Q4_K_M recommended for speed/quality balance. Q6_K for high quality. Q8_0 best quality.
imatrix
IQ1_S (5.4GB)
IQ1_M (5.9GB)
IQ2_XXS (6.6GB)
IQ2_XS (7.3GB)
IQ2_S (7.6GB)
IQ2_M (8.2GB)
Q2_K_S (8.4极B)
Q2_K (9.0GB)
IQ3_XXS (9.4GB)
IQ3_XS (10.0GB)
Q3_K_S (10.5GB)
IQ3_S (10.5GB)
IQ3_M (10.8GB)
Q3_K_M (11.6GB)
Q3_K_L (12.5GB)
IQ4_XS (12.9GB)
Q4_0 (13.6GB)
Q4_K_S (13.6GB)
Q4_K_M (14.4GB)
Q4_1 (15.0GB)
Q5_K_S (16.4GB)
Q5_K_M (16.9GB)
Q6_K (19.4GB)
Notes: Q4_K_S/Q4_K_M recommended. IQ1_S/IQ1_M for extreme low VRAM. Q6_K for near-original quality.
EXL2
2.5 bpw
3.0 bpw
3.5 bpw
4.0 bpw
4.5 bpw
5.0 bpw
6.0 bpw
8.0 bpw
EXL3
2.0 bpw
2.5 bpw
3.0 bpw
3.5 bpw
4.0 bpw
4.5 bpw
5.0 bpw
6.0 bpw
8.0 bpw
AWQ
Quants
⚠️ Ethical Considerations
This model maintains character integrity while reducing explicit content:
⚖️ Balanced approach to character authenticity and content appropriateness
🔞 Reduced explicit content generation compared to previous versions
💀 Characters maintain their core traits - wholesome characters remain wholesome, yanderes remain intense
🧠 Improved focus on narrative coherence and storytelling
📜 Performance Notes
🔥 Maintains Broken-Tutu's intensity with improved narrative coherence
📖 Excels at long-form multi-character scenarios
🧠 Superior instruction following with complex prompts
⚡ Reduced repetition and hallucination compared to v1.1
🎭 Uncanny ability to adapt to subtle prompt nuances
🖼️ Enhanced image understanding capabilities for multimodal interactions
🧑🔬 Model Authors
sleepdeprived3 (Training Data & Fine-Tuning)
ReadyArt / Artus / gecfdo (EXL2/EXL3 Quantization)
mradermacher (GGUF Quantization)
☕ Support the Creators
Ko-fi
Beaver AI Discord
🔖 License
By using this model, you agree:
To accept full responsibility for all generated content
That you're at least 18+ years old
That the architects bear no responsibility for your use of the model