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Steelskull_L3.3-Mokume-Gane-R1-70b-8.0bpw-h8-exl2
MikeRoz/Steelskull_L3.3-Mokume-Gane-R1-70b-8.0bpw-h8-exl2
Steelskull_L3.3-Mokume-Gane-R1-70b-8.0bpw-h8-exl2 is a machine learning model from MikeRoz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.3.
<style / Base styles / :root { --emerald: 1a9b7e; --deep-purple: 2c1b47; --gold: d4af37; --magenta: ff1493; --teal: 008b8b; --black: 000000; --white: f5f5f5; --accent-gold: rgba(212, 175, 55, 0.2); } body { font-famil…
All-time downloads
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71.6 GB
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Repo makeup
Click a slice to open those files.
.safetensors71.6 GB · 100%
At a glance
- License
- llama3.3
- Model type
- llama
- Access
- Public
- Created
- Mar 4, 2025
- Updated
- Mar 4, 2025
- SHA
- 8f359a85
Base models
Model card
From the Hugging Face model README
<style>
/* Base styles */
:root {
--emerald: #1a9b7e;
--deep-purple: #2c1b47;
--gold: #d4af37;
--magenta: #ff1493;
--teal: #008b8b;
--black: #000000;
--white: #f5f5f5;
--accent-gold: rgba(212, 175, 55, 0.2);
}
body {
font-family: 'Quicksand', -apple-system, BlinkMacSystemFont, sans-serif;
background: #000000;
color: #f5f5f5;
margin: 0;
padding: 0;
font-size: 16px;
min-height: 100vh;
position: relative;
}
/* Japanese text elements */
[lang="ja"],
.japanese-text,
h1::before, h2::before, h3::before, h4::before,
.creator-badge::before,
.metrics-section::before,
.container::after,
.header::before,
.info-card::before,
.model-description::before,
.template-card::before,
.quantized-section::before,
.settings-card::before,
.special-thanks h3::before {
font-family: "Hiragino Kaku Gothic Pro", "Yu Gothic", "Meiryo", "MS PGothic", sans-serif;
}
body::before {
content: '';
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
background:
linear-gradient(45deg, #2c1b47 0%, transparent 70%),
linear-gradient(-45deg, #1a9b7e 0%, transparent 70%);
opacity: 0.1;
z-index: 0;
}
.container {
max-width: 1200px;
margin: 40px auto;
background-color: rgba(10, 10, 10, 0.97);
padding: 40px;
border: 1px solid #d4af37;
position: relative;
backdrop-filter: blur(10px);
overflow: hidden;
}
.container::after {
content: '機械';
position: absolute;
top: 20px;
right: 20px;
color: #d4af37;
opacity: 0.3;
}
.container::before {
content: '';
position: absolute;
inset: -1px;
background:
linear-gradient(45deg, #d4af37, transparent 70%),
linear-gradient(-45deg, #1a9b7e, transparent 70%);
opacity: 0.2;
z-index: -1;
}
/* Typography */
h1, h2, h3, h4 {
color: #f5f5f5;
text-shadow: 0 0 10px #1a9b7e;
letter-spacing: 2px;
margin: 0 0 20px 0;
font-weight: 600;
position: relative;
padding-left: 25px;
text-transform: uppercase;
}
h1::before { content: '壱'; }
h2::before { content: '弐'; }
h3::before { content: '参'; }
h4::before { content: '四'; }
h1::before, h2::before, h3::before, h4::before {
position: absolute;
left: 0;
color: #d4af37;
font-size: 0.8em;
top: 50%;
transform: translateY(-50%);
}
h1 { font-size: 36px; }
h2 { font-size: 28px; }
h3 { font-size: 24px; }
h4 { font-size: 20px; }
p {
line-height: 1.8;
color: #f5f5f5;
margin: 0 0 15px 0;
position: relative;
padding-left: 20px;
}
p::before {
content: '・';
position: absolute;
left: 0;
color: #d4af37;
}
/* Links */
a {
color: #ff1493;
text-decoration: none;
transition: all 0.3s ease;
position: relative;
padding: 0 5px;
}
a:hover {
color: #1a9b7e;
background: rgba(212, 175, 55, 0.2);
}
a::before, a::after {
content: '';
position: absolute;
width: 2px;
height: 0;
background: #d4af37;
transition: height 0.3s ease;
}
a::before {
left: 0;
top: 0;
}
a::after {
right: 0;
bottom: 0;
}
a:hover::before, a:hover::after {
height: 100%;
}
/* Code elements */
pre {
background-color: rgba(26, 26, 26, 0.95);
padding: 15px;
border: 1px solid #d4af37;
position: relative;
overflow-x: auto;
}
pre::before {
content: '';
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background:
linear-gradient(45deg, transparent 48%, rgba(212, 175, 55, 0.2) 49%, rgba(212, 175, 55, 0.2) 51%, transparent 52%);
background-size: 10px 10px;
pointer-events: none;
}
code {
font-family: 'Courier New', monospace;
color: #f5f5f5;
}
/* Section spacing */
.section-container {
margin: 40px 0;
position: relative;
}
.section-container::before {
content: '◆';
position: absolute;
top: -20px;
left: 0;
color: #d4af37;
font-size: 24px;
}
/* Support section */
.support-section,
.benchmark-container,
.info-card,
.template-card,
.quantized-section,
.settings-card {
margin-top: 40px;
padding: 30px;
background: rgba(26, 26, 26, 0.95);
border: 1px solid #d4af37;
position: relative;
overflow: hidden;
z-index: 1;
}
.support-section::before {
content: '技術';
position: absolute;
top: 10px;
right: 10px;
color: #d4af37;
opacity: 0.3;
}
/* Ensure content is above patterns */
.model-info,
.metrics-section,
.section-container,
.support-buttons,
.model-composition,
.info-header,
.template-content,
.quantized-items {
position: relative;
z-index: 1;
}
.support-buttons {
display: flex;
gap: 15px;
flex-wrap: wrap;
position: relative;
z-index: 1;
}
@media (max-width: 1280px) {
.container {
margin: 20px;
padding: 30px;
}
}
/* Button styles */
.button {
display: inline-flex;
align-items: center;
gap: 8px;
padding: 10px 20px;
background: rgba(32, 32, 32, 0.95);
border: 1px solid #d4af37;
color: #f5f5f5;
font-weight: 500;
text-decoration: none;
transition: all 0.3s ease;
position: relative;
overflow: hidden;
text-transform: uppercase;
letter-spacing: 1px;
box-shadow: 0 0 15px rgba(212, 175, 55, 0.2);
}
.button::before {
content: '';
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background: linear-gradient(45deg, transparent 48%, rgba(212, 175, 55, 0.2) 49%, rgba(212, 175, 55, 0.2) 51%, transparent 52%);
background-size: 8px 8px;
pointer-events: none;
opacity: 0.3;
}
.button::after {
content: '実行';
position: absolute;
top: 5px;
right: 5px;
font-family: 'Japanese';
color: #d4af37;
font-size: 10px;
opacity: 0.3;
}
.button:hover {
background: rgba(26, 155, 126, 0.1);
border-color: #1a9b7e;
transform: translateY(-1px);
box-shadow:
0 0 20px #1a9b7e,
0 0 40px #008b8b;
color: #ff1493;
text-shadow: 0 0 5px #1a9b7e;
}
.button:active {
transform: translateY(0);
}
/* Template link */
.template-link {
display: flex;
align-items: center;
gap: 5px;
color: #f5f5f5;
font-weight: 500;
padding: 8px 12px;
background: rgba(32, 32, 32, 0.95);
border: 1px solid #d4af37;
transition: all 0.3s ease;
position: relative;
overflow: hidden;
text-transform: uppercase;
letter-spacing: 1px;
box-shadow: 0 0 10px rgba(212, 175, 55, 0.2);
}
.template-link::before {
content: '';
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background: linear-gradient(45deg, transparent 48%, rgba(212, 175, 55, 0.2) 49%, rgba(212, 175, 55, 0.2) 51%, transparent 52%);
background-size: 10px 10px;
pointer-events: none;
opacity: 0.2;
}
.template-link::after {
content: 'テンプレート';
position: absolute;
top: 3px;
right: 3px;
font-family: 'Japanese';
color: #d4af37;
font-size: 8px;
opacity: 0.3;
}
.template-link:hover {
background: rgba(26, 155, 126, 0.1);
border-color: #1a9b7e;
color: #ff1493;
text-shadow: 0 0 5px #1a9b7e;
box-shadow:
0 0 15px #1a9b7e,
0 0 30px #008b8b;
}
.link-arrow {
font-size: 18px;
line-height: 1;
transform: translateY(1px);
color: #d4af37;
}
/* Template content */
.template-content {
display: flex;
align-items: center;
gap: 10px;
position: relative;
z-index: 1;
}
.template-author {
color: rgba(245, 245, 245, 0.7);
font-size: 14px;
position: relative;
padding-left: 15px;
}
.template-author::before {
content: '作者';
position: absolute;
left: 0;
font-family: 'Japanese';
color: #d4af37;
font-size: 10px;
opacity: 0.5;
top: 50%;
transform: translateY(-50%);
}
/* Support buttons */
.support-buttons {
display: flex;
gap: 15px;
margin-top: 20px;
}
.support-buttons .button {
background: rgba(26, 155, 126, 0.05);
border-color: #1a9b7e;
}
.support-buttons .button:hover {
background: rgba(26, 155, 126, 0.15);
border-color: #ff1493;
color: #ff1493;
text-shadow:
0 0 5px #1a9b7e,
0 0 10px #008b8b;
}
/* Benchmark link */
.benchmark-link {
display: inline-flex;
align-items: center;
gap: 5px;
color: #f5f5f5;
font-weight: 500;
padding: 5px 10px;
background: rgba(32, 32, 32, 0.95);
border: 1px solid #d4af37;
transition: all 0.3s ease;
position: relative;
box-shadow: 0 0 10px rgba(212, 175, 55, 0.2);
}
.benchmark-link:hover {
background: rgba(26, 155, 126, 0.1);
border-color: #1a9b7e;
color: #ff1493;
text-shadow: 0 0 5px #1a9b7e;
box-shadow:
0 0 15px #1a9b7e,
0 0 30px #008b8b;
}
/* Info card */
.info-card {
background: rgba(32, 32, 32, 0.95);
border: 1px solid #d4af37;
overflow: hidden;
position: relative;
box-shadow: 0 0 20px rgba(212, 175, 55, 0.2);
}
.info-card::before {
content: '情報';
position: absolute;
top: 10px;
right: 10px;
font-family: 'Japanese';
color: #d4af37;
opacity: 0.3;
font-size: 14px;
}
.info-header {
background: rgba(26, 155, 126, 0.05);
padding: 20px;
border-bottom: 1px solid #d4af37;
position: relative;
}
.info-header h3 {
margin: 0 0 10px 0;
color: #f5f5f5;
text-shadow: 0 0 10px #1a9b7e;
}
/* Model tags */
.model-tags {
display: flex;
gap: 8px;
flex-wrap: wrap;
}
.model-tag {
background: rgba(32, 32, 32, 0.95);
color: #f5f5f5;
padding: 4px 12px;
font-size: 12px;
border: 1px solid #d4af37;
position: relative;
overflow: hidden;
text-transform: uppercase;
letter-spacing: 1px;
box-shadow: 0 0 10px rgba(212, 175, 55, 0.2);
}
.model-tag::before {
content: '';
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background: linear-gradient(45deg, transparent 48%, rgba(212, 175, 55, 0.2) 49%, rgba(212, 175, 55, 0.2) 51%, transparent 52%);
background-size: 10px 10px;
opacity: 0.2;
}
/* Model composition */
.model-composition {
padding: 20px;
border-bottom: 1px solid #d4af37;
position: relative;
}
.composition-list {
list-style: none;
padding: 0;
margin: 0;
display: grid;
gap: 12px;
}
.composition-list li {
color: #f5f5f5;
display: flex;
align-items: baseline;
gap: 12px;
padding-left: 20px;
position: relative;
}
.composition-list li::before {
content: '◆';
position: absolute;
left: 0;
color: #d4af37;
font-size: 12px;
top: 50%;
transform: translateY(-50%);
}
.model-component {
color: #ff1493;
font-weight: 500;
min-width: 120px;
text-shadow: 0 0 5px #1a9b7e;
letter-spacing: 1px;
}
/* Model description */
.model-description {
background: rgba(32, 32, 32, 0.95);
border: 1px solid #d4af37;
padding: 20px;
position: relative;
overflow: hidden;
margin-top: 20px;
}
.model-description::before {
content: '説明';
position: absolute;
top: 10px;
right: 10px;
font-family: 'Japanese';
color: #d4af37;
opacity: 0.3;
font-size: 14px;
}
/* Template card */
.template-card {
background: rgba(32, 32, 32, 0.95);
border: 1px solid #d4af37;
padding: 20px;
position: relative;
overflow: hidden;
box-shadow: 0 0 20px rgba(212, 175, 55, 0.2);
}
.template-card::before {
content: 'テンプレート';
position: absolute;
top: 10px;
right: 10px;
font-family: 'Japanese';
color: #d4af37;
opacity: 0.3;
font-size: 14px;
}
/* Quantized section cards */
.quantized-container {
display: grid;
gap: 20px;
}
.quantized-section {
background: rgba(32, 32, 32, 0.95);
border: 1px solid #d4af37;
padding: 20px;
position: relative;
overflow: hidden;
box-shadow: 0 0 20px rgba(212, 175, 55, 0.2);
}
.quantized-section::before {
content: '量子化';
position: absolute;
top: 10px;
right: 10px;
font-family: 'Japanese';
color: #d4af37;
opacity: 0.3;
font-size: 14px;
}
.quantized-items {
display: grid;
gap: 12px;
}
.quantized-item {
display: flex;
align-items: baseline;
gap: 12px;
position: relative;
}
.quantized-item .author {
color: rgba(245, 245, 245, 0.7);
min-width: 100px;
position: relative;
padding-left: 20px;
}
.quantized-item .author::before {
content: '◆';
position: absolute;
left: 0;
color: #d4af37;
font-size: 12px;
top: 50%;
transform: translateY(-50%);
}
.multi-links {
display: flex;
align-items: center;
gap: 12px;
}
.separator {
color: #d4af37;
transform: skewX(-20deg);
opacity: 0.5;
}
/* Settings grid */
.settings-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
gap: 20px;
margin-top: 20px;
}
.settings-card {
background: rgba(32, 32, 32, 0.95);
border: 1px solid #d4af37;
position: relative;
overflow: hidden;
box-shadow: 0 0 15px rgba(212, 175, 55, 0.2);
}
.settings-card::before {
content: '設定';
position: absolute;
top: 10px;
right: 10px;
font-family: 'Japanese';
color: #d4af37;
opacity: 0.3;
font-size: 14px;
}
.settings-header {
background: rgba(26, 155, 126, 0.05);
padding: 15px 20px;
border-bottom: 1px solid #d4af37;
}
.settings-header h3 {
margin: 0;
color: #f5f5f5;
font-size: 1.1em;
text-shadow: 0 0 5px #1a9b7e;
}
.settings-content {
padding: 15px 20px;
}
.setting-item {
display: flex;
justify-content: space-between;
align-items: center;
padding: 8px 0;
border-bottom: 1px solid rgba(212, 175, 55, 0.2);
}
.setting-item:last-child {
border-bottom: none;
}
.setting-label {
color: #f5f5f5;
font-size: 0.95em;
}
.setting-value {
color: #ff1493;
font-family: 'Courier New', monospace;
font-weight: 500;
text-shadow: 0 0 5px #1a9b7e;
}
.setting-item.highlight {
display: flex;
justify-content: center;
padding: 15px 0;
}
.setting-item.highlight .setting-value {
font-size: 1.2em;
color: #ff1493;
text-shadow:
0 0 5px #1a9b7e,
0 0 10px #008b8b;
}
/* Card hover effects */
.info-card,
.metrics-section,
.benchmark-container,
.template-card,
.quantized-section,
.settings-card,
.special-thanks {
transition: transform 0.3s ease, box-shadow 0.3s ease;
}
.info-card:hover,
.metrics-section:hover,
.benchmark-container:hover,
.template-card:hover,
.quantized-section:hover,
.settings-card:hover,
.special-thanks:hover {
transform: translateY(-2px);
box-shadow:
0 0 30px rgba(212, 175, 55, 0.2),
0 0 60px rgba(26, 155, 126, 0.1);
}
/* Corner Decorations */
.corner {
position: absolute;
background: none;
width: 8em;
height: 8em;
font-size: 3px;
opacity: 0.8;
transition: opacity 0.3s ease-in-out, transform 0.3s ease-in-out;
pointer-events: none;
z-index: 1;
}
.corner:after {
position: absolute;
content: '';
display: block;
width: 0.1em;
height: 0.1em;
}
.corner.topleft {
top: 0.5em;
left: 0.5em;
transform: rotate(360deg);
}
.corner.topright {
top: 0.5em;
right: 0.5em;
transform: rotate(90deg);
}
.corner.bottomleft {
bottom: 0.5em;
left: 0.5em;
transform: rotate(270deg);
}
.corner.bottomright {
bottom: 0.5em;
right: 0.5em;
transform: rotate(180deg);
}
/* Hover effects */
.info-card:hover .corner,
.metrics-section:hover .corner,
.benchmark-container:hover .corner,
.template-card:hover .corner,
.quantized-section:hover .corner,
.settings-card:hover .corner,
.special-thanks:hover .corner {
opacity: 1;
transform: scale(1.1) rotate(var(--rotate));
}
.corner.topleft { --rotate: 360deg; }
.corner.topright { --rotate: 90deg; }
.corner.bottomleft { --rotate: 270deg; }
.corner.bottomright { --rotate: 180deg; }
.corner.corner3:after {
box-shadow:
0.2em 0.2em #d4af37, 0.4em 0.2em #d4af37, 0.6em 0.2em #d4af37, 0.8em 0.2em #d4af37, 1.0em 0.2em #d4af37, 1.2em 0.2em #d4af37, 1.4em 0.2em #d4af37, 2.0em 0.2em #d4af37, 2.2em 0.2em #d4af37, 2.4em 0.2em #d4af37, 2.6em 0.2em #d4af37, 2.8em 0.2em #d4af37, 3.0em 0.2em #d4af37, 3.2em 0.2em #d4af37, 3.4em 0.2em #d4af37, 3.6em 0.2em #d4af37, 3.8em 0.2em #d4af37, 4.0em 0.2em #d4af37, 4.2em 0.2em #d4af37, 4.4em 0.2em #d4af37, 4.6em 0.2em #d4af37, 4.8em 0.2em #d4af37, 5.0em 0.2em #d4af37, 5.2em 0.2em #d4af37, 5.4em 0.2em #d4af37, 5.8em 0.2em #d4af37,
0.2em 0.4em #d4af37, 1.4em 0.4em #d4af37, 2.0em 0.4em #d4af37,
0.2em 0.6em #d4af37, 1.4em 0.6em #d4af37,
0.2em 0.8em #d4af37, 0.8em 0.8em #d4af37, 1.0em 0.8em #d4af37, 1.4em 0.8em #d4af37, 1.8em 0.8em #d4af37, 2.0em 0.8em #d4af37, 2.2em 0.8em #d4af37, 2.4em 0.8em #d4af37, 2.6em 0.8em #d4af37, 2.8em 0.8em #d4af37, 3.0em 0.8em #d4af37, 3.2em 0.8em #d4af37, 3.4em 0.8em #d4af37, 3.6em 0.8em #d4af37, 3.8em 0.8em #d4af37, 4.0em 0.8em #d4af37, 4.2em 0.8em #d4af37, 4.6em 0.8em #d4af37,
0.2em 1.0em #d4af37, 0.8em 1.0em #d4af37, 1.4em 1.0em #d4af37, 3.6em 1.0em #d4af37, 3.8em 1.0em #d4af37,
0.2em 1.2em #d4af37, 0.8em 1.2em #d4af37, 2.0em 1.2em #d4af37, 3.2em 1.2em #d4af37, 3.4em 1.2em #d4af37,
0.2em 1.4em #d4af37, 0.4em 1.4em #d4af37, 0.8em 1.4em #d4af37, 1.2em 1.4em #d4af37, 1.4em 1.4em #d4af37, 1.6em 1.4em #d4af37, 2.0em 1.4em #d4af37, 2.4em 1.4em #d4af37, 2.6em 1.4em #d4af37, 2.8em 1.4em #d4af37, 3.0em 1.4em #d4af37,
0.8em 1.6em #d4af37, 2.0em 1.6em #d4af37,
1.4em 1.8em #d4af37, 2.0em 1.8em #d4af37,
0.2em 2.0em #d4af37, 0.4em 2.0em #d4af37, 0.6em 2.0em #d4af37, 0.8em 2.0em #d4af37, 1.0em 2.0em #d4af37, 1.4em 2.0em #d4af37, 1.8em 2.0em #d4af37, 2.0em 2.0em #d4af37,
0.2em 2.2em #d4af37, 1.4em 2.2em #d4af37,
0.2em 2.4em #d4af37, 0.8em 2.4em #d4af37, 1.4em 2.4em #d4af37,
0.2em 2.6em #d4af37, 0.8em 2.6em #d4af37, 1.4em 2.6em #d4af37,
0.2em 2.8em #d4af37, 0.8em 2.8em #d4af37, 1.4em 2.8em #d4af37,
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</style>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>L3.3-Mokume-Gane-R1-70b</title>
<link href="https://fonts.googleapis.com/css2?family=Quicksand:wght@400;500;600&display=swap" rel="stylesheet">
</head>
<body>
<div class="container">
<!-- Header Component -->
<div class="component-section" id="header">
<div class="header">
<h1>L3.3-Mokume-Gane-R1-70b</h1>
</div>
<div class="info">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/F_aK-DO_bMK7fWpDaHoNd.jpeg" alt="Model banner">
<div class="creator-section">
<div class="creator-badge" style="display: flex; align-items: center; gap: 1rem;">
<div class="creator-info">
<span class="creator-label">Created by</span>
<a href="https://huggingface.co/Steelskull" target="_blank" class="creator-link">
<span class="creator-name">SteelSkull</span>
<span class="creator-arrow">→</span>
</a>
</div>
<a href="https://ko-fi.com/Y8Y0AO2XE" target="_blank" class="button" style="margin: 0; padding: 0.5rem 1rem;">
Support on Ko-fi
</a>
</div>
</div>
<!-- Model Info Component -->
<div class="component-section" id="model-info">
<div class="model-info">
<h2>Model Information</h2>
<div class="info-card">
<div class="info-header">
<h3>L3.3-Mokume-Gane-R1-70b v0.5.C</h3>
<div class="model-tags">
<span class="model-tag">L3.3 = Llama 3.3</span>
<span class="model-tag">SCE Merge</span>
<span class="model-tag">R1 = Deepseek R1</span>
<span class="model-tag">70b Parameters</span>
<span class="model-tag">v0.5.C</span>
</div>
</div>
<div class="model-composition">
<h4>Model Composition</h4>
<ul class="composition-list">
<li><span class="model-component base-model"><a href="https://huggingface.co/TheSkullery/L3.1x3.3-DS-Hydroblated-R1-70B-v4.1" target="_blank">L3.1x3.3-DS-Hydroblated-R1-70B-v4.1</a></span> Base model</li>
<li><span class="model-component"><a href="https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0" target="_blank">EVA-LLaMA-3.33-v0.0</a></span> Core capabilities</li>
<li><span class="model-component"><a href="https://huggingface.co/Sao10K/L3.3-70B-Euryale-v2.3" target="_blank">Euryale-v2.3</a></span> Enhanced reasoning</li>
<li><span class="model-component"><a href="https://huggingface.co/Sao10K/70B-L3.3-Cirrus-x1" target="_blank">Cirrus-x1</a></span> Improved coherence</li>
<li><span class="model-component"><a href="https://huggingface.co/Sao10K/L3.1-70B-Hanami-x1" target="_blank">Hanami-x1</a></span> Balanced responses</li>
<li><span class="model-component"><a href="https://huggingface.co/TheDrummer/Anubis-70B-v1" target="_blank">Anubis-v1</a></span> Enhanced detail</li>
<li><span class="model-component"><a href="https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B" target="_blank">Negative_LLAMA</a></span> Reduced bias</li>
</ul>
</div>
<div class="model-description">
<h4>Model Series</h4>
<p>Mokume-Gane is part of a three-model experimental series, each offering distinct characteristics:</p>
<ul>
<li><strong>L3.3-San-Mai-R1-70b</strong> - The original model (OG), Gold Tier</li>
<li><strong>L3.3-Cu-Mai-R1-70b</strong> - Version A, OG with a twist</li>
<li><strong>L3.3-Mokume-Gane-R1-70b</strong> - Version C, emphasizing creativity</li>
</ul>
<h4>Model Info</h4>
<p>Named after the Japanese metalworking technique 'Mokume-gane' (木目金), meaning 'wood grain metal', this model embodies the artistry of creating distinctive layered patterns through the careful mixing of different components. Just as Mokume-gane craftsmen blend various metals to create unique visual patterns, this model combines specialized AI components to generate creative and unexpected outputs.</p>
<h4>Technical Architecture</h4>
<p>Built on the DS-Hydroblated-R1 foundation and utilizing the SCE (Select, Calculate, and Erase) merge method, Mokume-Gane-R1 integrates components from multiple high-performance models:</p>
<ul>
<li>EVA and EURYALE foundations provide the creative expression and scene comprehension</li>
<li>Cirrus and Hanami elements enhance reasoning while maintaining balance</li>
<li>Anubis components deliver detailed scene descriptions</li>
<li>Negative_LLAMA integration helps maintain perspective and reduce bias</li>
</ul>
<h4>Core Philosophy</h4>
<p>Mokume-Gane-R1 embraces the spirit of creative exploration while maintaining technical precision. Community feedback consistently highlights its ability to generate unique and unexpected outputs, setting it apart as the "most creative" model in its class. While it excels in character adherence and creative expression, it requires careful tuning to balance its innovative tendencies with coherent output.</p>
<h4>Prompting and Reasoning</h4>
<p>A key feature of this model series is its enhanced reasoning capabilities, which can be effectively triggered through structured prompting. By incorporating clear logical frameworks and step-by-step thinking patterns in prompts, users can unlock deeper analytical responses and more coherent reasoning chains. This is particularly effective when combined with the model's creative tendencies, allowing for both innovative and well-reasoned outputs.</p>
<h4>Community Insights</h4>
<p>The model has received notable praise for its creativity and unique outputs, with users particularly highlighting its:</p>
<ul>
<li>Exceptional creativity and ability to generate novel responses</li>
<li>Strong character adherence and natural dialogue flow</li>
<li>Distinctive outputs that differentiate it from standard models</li>
<li>Potential for outstanding results with proper sampler tuning</li>
</ul>
<p>However, users should note that the model's creative strength comes with certain considerations:</p>
<ul>
<li>Results can be variable, ranging from exceptional to requiring refinement</li>
<li>May require careful prompt engineering to maintain focus</li>
<li>Benefits significantly from appropriate sampler settings</li>
</ul>
<h4>Base Architecture</h4>
<p>At its core, Mokume-Gane-R1 utilizes the custom DS-Hydroblated-R1 base model, engineered for stability and enhanced reasoning. The SCE merge method, with settings finely tuned based on extensive community feedback, enables precise component integration while maintaining model coherence and reliability. This creates a foundation that supports both creative expression and technical accuracy.</p>
</div>
</div>
</div>
</div>
<!-- UGI Benchmark Results -->
<h2>UGI-Benchmark Results:</h2>
<div class="benchmark-container">
<div class="benchmark-notification">
<div class="notification-content">
<span class="notification-icon">🏆</span>
<span class="notification-text">
Latest benchmark results as of 02/20/2025.
<a href="https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard" target="_blank" class="benchmark-link">
View Full Leaderboard →
</a>
</span>
</div>
</div>
<div class="metrics-section">
<h3>Core Metrics</h3>
<div class="core-metrics-grid">
<div class="metric-box">
<span class="label">UGI Score</span>
<span class="value">45.01</span>
</div>
<div class="metric-box">
<span class="label">Willingness Score</span>
<span class="value">4.5/10</span>
</div>
<div class="metric-box">
<span class="label">Natural Intelligence</span>
<span class="value">48.97</span>
</div>
<div class="metric-box">
<span class="label">Coding Ability</span>
<span class="value">22</span>
</div>
</div>
</div>
<div class="metrics-section">
<h3>Model Information</h3>
<div class="info-grid">
<div class="metric-box">
<span class="label">Political Lean</span>
<span class="value">-9.1%</span>
</div>
<div class="metric-box">
<span class="label">Ideology</span>
<span class="value">Liberalism</span>
</div>
<div class="metric-box">
<span class="label">Parameters</span>
<span class="value">70B</span>
</div>
</div>
</div>
<div class="metrics-section">
<details>
<summary>Aggregated Scores</summary>
<div class="progress-metrics">
<div class="progress-metric">
<div class="progress-label">
<span>Diplomacy</span>
<span class="progress-value">62.2%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 62.2%"></div>
</div>
</div>
<div class="progress-metric">
<div class="progress-label">
<span>Government</span>
<span class="progress-value">44.6%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 44.6%"></div>
</div>
</div>
<div class="progress-metric">
<div class="progress-label">
<span>Economy</span>
<span class="progress-value">43.1%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 43.1%"></div>
</div>
</div>
<div class="progress-metric">
<div class="progress-label">
<span>Society</span>
<span class="progress-value">60.7%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 60.7%"></div>
</div>
</div>
</div>
</details>
</div>
<div class="metrics-section">
<details>
<summary>Individual Scores</summary>
<div class="progress-metrics">
<div class="progress-metric split">
<div class="progress-label">
<span>Federal</span>
<span class="progress-value">46.0%</span>
<span>Unitary</span>
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</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Democratic</span>
<span class="progress-value">67.5%</span>
<span>Autocratic</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.675"></div>
<div class="progress-fill-right" style="--scale: 0.325"></div>
</div>
</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Security</span>
<span class="progress-value">47.5%</span>
<span>Freedom</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.475"></div>
<div class="progress-fill-right" style="--scale: 0.525"></div>
</div>
</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Nationalism</span>
<span class="progress-value">39.0%</span>
<span>Int'l</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.390"></div>
<div class="progress-fill-right" style="--scale: 0.610"></div>
</div>
</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Militarist</span>
<span class="progress-value">32.9%</span>
<span>Pacifist</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.329"></div>
<div class="progress-fill-right" style="--scale: 0.671"></div>
</div>
</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Assimilationist</span>
<span class="progress-value">41.5%</span>
<span>Multiculturalist</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.415"></div>
<div class="progress-fill-right" style="--scale: 0.585"></div>
</div>
</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Collectivize</span>
<span class="progress-value">43.3%</span>
<span>Privatize</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.433"></div>
<div class="progress-fill-right" style="--scale: 0.567"></div>
</div>
</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Planned</span>
<span class="progress-value">42.3%</span>
<span>LaissezFaire</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.423"></div>
<div class="progress-fill-right" style="--scale: 0.577"></div>
</div>
</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Isolationism</span>
<span class="progress-value">43.8%</span>
<span>Globalism</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.438"></div>
<div class="progress-fill-right" style="--scale: 0.562"></div>
</div>
</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Irreligious</span>
<span class="progress-value">57.9%</span>
<span>Religious</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.579"></div>
<div class="progress-fill-right" style="--scale: 0.421"></div>
</div>
</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Progressive</span>
<span class="progress-value">59.8%</span>
<span>Traditional</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.598"></div>
<div class="progress-fill-right" style="--scale: 0.402"></div>
</div>
</div>
<div class="progress-metric split">
<div class="progress-label">
<span>Acceleration</span>
<span class="progress-value">64.4%</span>
<span>Bioconservative</span>
</div>
<div class="progress-bar split">
<div class="progress-fill-left" style="--scale: 0.644"></div>
<div class="progress-fill-right" style="--scale: 0.356"></div>
</div>
</div>
</div>
</details>
</div>
</div>
<h2>Open LLM-Benchmark Results:</h2>
<div class="benchmark-container">
<div class="benchmark-notification">
<div class="notification-content">
<span class="notification-text">
Average Score: 43.68%
<a href="https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?rankingMode=dynamic" target="_blank" class="benchmark-link">
View Full Leaderboard →
</a>
</span>
</div>
</div>
<div class="progress-metrics">
<div class="progress-metric">
<div class="progress-label">
<span>IFEval</span>
<span class="progress-value">60.24%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 60.24%"></div>
</div>
</div>
<div class="progress-metric">
<div class="progress-label">
<span>BBH</span>
<span class="progress-value">56.17%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 56.17%"></div>
</div>
</div>
<div class="progress-metric">
<div class="progress-label">
<span>MATH</span>
<span class="progress-value">46.68%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 46.68%"></div>
</div>
</div>
<div class="progress-metric">
<div class="progress-label">
<span>GPQA</span>
<span class="progress-value">29.19%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 29.19%"></div>
</div>
</div>
<div class="progress-metric">
<div class="progress-label">
<span>MUSR</span>
<span class="progress-value">20.19%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 20.19%"></div>
</div>
</div>
<div class="progress-metric">
<div class="progress-label">
<span>MMLU-Pro</span>
<span class="progress-value">49.59%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" style="width: 49.59%"></div>
</div>
</div>
</div>
</div>-->
<div class="component-section" id="settings">
<div class="section-container">
<h2>Recommended Sampler Settings: <strong> By @Geechan</strong></h2>
<div class="settings-grid">
<div class="settings-card">
<div class="settings-header">
<h3>Static Temperature:</h3>
</div>
<div class="settings-content">
<div class="setting-item highlight">
<span class="setting-value">1 - 1.05</span>
</div>
</div>
</div>
<div class="settings-card">
<div class="settings-header">
<h3>Min P</h3>
</div>
<div class="settings-content">
<div class="setting-item highlight">
<span class="setting-value">0.03</span>
</div>
</div>
</div>
<div class="settings-card">
<div class="settings-header">
<h3>DRY Settings: (optional)</h3>
</div>
<div class="settings-content">
<div class="setting-item">
<span class="setting-label">Multiplier</span>
<span class="setting-value">0.8</span>
</div>
<div class="setting-item">
<span class="setting-label">Base</span>
<span class="setting-value">1.75</span>
</div>
<div class="setting-item">
<span class="setting-label">Length</span>
<span class="setting-value">4</span>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="section-container">
<h2>Recommended Templates & Prompts</h2>
<div class="template-card">
<div class="template-item">
<div class="template-content">
<a href="https://huggingface.co/Konnect1221/Methception-Llamaception-SillyTavern-Preset" target="_blank" class="template-link">
LLam@ception
<span class="link-arrow">→</span>
</a>
<span class="template-author">by @.konnect</span>
</div>
</div>
<div class="template-item">
<div class="template-content">
<a href="https://huggingface.co/Steelskull/L3.3-San-Mai-R1-70b/blob/main/LeCeption-XML-V2-Thinking.json" target="_blank" class="template-link">
LeCeption
<span class="link-arrow">→</span>
</a>
<span class="template-author">by @Steel</span> > A completly revamped XML version of Llam@ception 1.5.2 with stepped thinking and Reasoning added
</div>
</div>
</div>
<div class="settings-card">
<div class="settings-header">
<h3>LECEPTION REASONING CONFIGURATION:</h3>
</div>
<div class="settings-content">
<div class="settings-grid">
<div class="settings-card">
<div class="settings-header">
<h3>Start Reply With:</h3>
</div>
<div class="settings-content">
<div class="setting-item">
<p>'<span style="color: #ff6b6b"><think></span> OK, as an objective, detached narrative analyst, let's think this through carefully:'</p>
</div>
</div>
</div>
<div class="settings-card">
<div class="settings-header">
<h3>Reasoning Formatting (no spaces):</h3>
</div>
<div class="settings-content">
<div class="setting-item">
<span class="setting-label">Prefix:</span>
<span class="setting-value">'<span style="color: #ff6b6b"><think></span>'</span>
</div>
<div class="setting-item">
<span class="setting-label">Suffix:</span>
<span class="setting-value">'<span style="color: #ff6b6b"></think></span>'</span>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- <div class="component-section" id="quantizations">
<div class="section-container">
<h2>Quantized Versions</h2>
<div class="quantized-container">
<div class="quantized-section">
<h3>GGUF Quantizations</h3>
<div class="quantized-items">
<div class="quantized-item">
<span class="author">bartowski</span>
<a href="https://huggingface.co/bartowski/L3.3-Mokume-Gane-R1-70b-GGUF" target="_blank">
Combined-GGUF
<span class="link-arrow">→</span>
</a>
</div>
<div class="quantized-item">
<span class="author">mradermacher</span>
<div class="multi-links">
<a href="https://huggingface.co/mradermacher/L3.3-Mokume-Gane-R1-70b-GGUF" target="_blank">
GGUF
<span class="link-arrow">→</span>
</a>
<span class="separator">//</span>
<a href="https://huggingface.co/mradermacher/L3.3-Mokume-Gane-R1-70b-i1-GGUF" target="_blank">
Imat-GGUF
<span class="link-arrow">→</span>
</a>
</div>
</div>
</div>
</div>
<div class="quantized-section">
<h3>EXL2 Quantizations</h3>
<div class="quantized-items">
<div class="quantized-item">
<span class="author">ReadyArt</span>
<div class="multi-links">
<a href="https://huggingface.co/ReadyArt/L3.3-Mokume-Gane-R1-70b_EXl2_8.0bpw_H8" target="_blank">
8.0BPW-EXL2
<span class="link-arrow">→</span>
</a>
<span class="separator">//</span>
<a href="https://huggingface.co/ReadyArt/L3.3-Mokume-Gane-R1-70b_EXl2_6.65bpw_H8" target="_blank">
6.65BPW-EXL2
<span class="link-arrow">→</span>
</a>
</div>
</div>
<div class="quantized-item">
<span class="author">Darkhn</span>
<a href="https://huggingface.co/Darkhn/L3.3-Mokume-Gane-R1-70b-6.0bpw-h8-exl2" target="_blank">
6.0BPW-EXL2
<span class="link-arrow">→</span>
</a>
</div>
</div>
</div>
<div class="quantized-section">
<h3>FP8 Dynamic</h3>
<div class="quantized-items">
<div class="quantized-item">
<span class="author">yeyaowei</span>
<a href="https://huggingface.co/yeyaowei/L3.3-Mokume-Gane-R1-70b-FP8-Dynamic" target="_blank">
FP8-Dynamic
<span class="link-arrow">→</span>
</a>
</div>
</div>
</div>
</div>
</div>-->
<div class="component-section" id="support">
<div class="support-section">
<h2>Support & Community:</h2>
<div class="support-buttons">
<a href="https://ko-fi.com/Y8Y0AO2XE" target="_blank" class="button">
Support on Ko-fi
</a>
<a href="https://discord.gg/4tCngSm3qZ" target="_blank" class="button">
Join Discord
</a>
</div>
<div class="special-thanks">
<h3>....Special Thanks</h3>
<ul class="thanks-list">
<li><strong>@Geechan</strong> for feedback and sampler settings</li>
<li><strong>@Konnect</strong> for their feedback and templates</li>
<li><strong>@Kistara</strong> for their feedback and help with the model mascot design</li>
<li><strong>@Thana Alt</strong> for their feedback and Quants</li>
<li><strong>@Lightning_missile</strong> for their feedback</li>
<li><strong>The Arli community</strong> for feedback and testers</li>
<li><strong>The BeaverAI communty</strong> for feedback and testers</li>
</ul>
<p class="thanks-note">I wish I could add everyone but im pretty sure it would be as long as the card!</p>
</div>
</div>
</div>
</div>
</div>
</body>
</html>
- Type
- llama
- License
- llama3.3
- Created
- Mar 4, 2025
- Updated
- Mar 4, 2025