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.gitattributes +1 -0
README.md +1289 -0
config.json +51 -0
mergekit_config.yml +9 -0
model.safetensors.index.json +1 -0
output-00001-of-00004.safetensors +3 -0
output-00002-of-00004.safetensors +3 -0
output-00003-of-00004.safetensors +3 -0
output-00004-of-00004.safetensors +3 -0
special_tokens_map.json +16 -0
tokenizer.json +3 -0
tokenizer_config.json +2062 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md ADDED Viewed

	@@ -0,0 +1,1289 @@

+---
+base_model:
+- nbeerbower/Llama-3.1-Nemotron-lorablated-70B
+- SicariusSicariiStuff/Negative_LLAMA_70B
+- TheDrummer/Anubis-70B-v1
+- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
+- deepseek-ai/DeepSeek-R1-Distill-Llama-70B
+- Sao10K/L3.3-70B-Euryale-v2.3
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+<!DOCTYPE html>
+<style>
+ebody {
+  font-family: 'Quicksand', sans-serif;
+  background: linear-gradient(135deg, #FF69B4 0%, #800080 100%);
+  color: #FFFFFF;
+  margin: 0;
+  padding: 0;
+  font-size: 16px;
+  min-height: 100vh;
+}
+.container {
+  margin: 20px;
+  background-color: rgba(28, 14, 36, 0.95);
+  padding: 20px;
+  border-radius: 12px;
+  box-shadow: 0 4px 20px rgba(255, 105, 180, 0.4);
+  border: 1px solid rgba(255, 105, 180, 0.4);
+  outline: 1px solid rgba(255, 105, 180, 0.7);
+  outline-offset: -1px;
+  position: relative;
+  backdrop-filter: blur(10px);
+}
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+  content: '';
+  position: absolute;
+  top: -1px;
+  left: -1px;
+  right: -1px;
+  bottom: -1px;
+  border: 1px solid rgba(255, 105, 180, 0.98);
+  border-radius: 12px;
+  pointer-events: none;
+  animation: borderGlow 2s ease-in-out infinite;
+}
+@keyframes borderGlow {
+  0% {
+    box-shadow: 0 0 5px rgba(255, 105, 180, 0.98);
+  }
+  50% {
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+  }
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+  color: #FF69B4;
+  margin: 0 0 20px 0;
+  text-shadow: 0 0 15px rgba(255, 105, 180, 0.8);
+  letter-spacing: 1px;
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+}
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+  color: #FF69B4;
+  text-shadow: 0 0 15px rgba(255, 105, 180, 0.8);
+  letter-spacing: 0.5px;
+}
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+  font-size: 16px;
+  line-height: 1.6;
+  color: #FFE1FF;
+}
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+  line-height: 1.6;
+  font-size: 16px;
+}
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+  width: 100%;
+  border-radius: 10px;
+  margin-bottom: 15px;
+  box-shadow: 0 0 30px rgba(255, 105, 180, 0.5);
+  border: 1px solid rgba(255, 105, 180, 0.4);
+  outline: 1px solid rgba(255, 105, 180, 0.7);
+  outline-offset: -1px;
+  transition: transform 0.3s ease, box-shadow 0.3s ease;
+}
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+  transform: scale(1.01);
+  box-shadow: 0 0 40px rgba(255, 105, 180, 0.6);
+}
+a {
+  color: #00FFEE;
+  text-decoration: none;
+  transition: color 0.3s ease;
+}
+a:hover {
+  color: #FF1493;
+}
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+  display: inline-block;
+  background: linear-gradient(45deg, rgba(255, 105, 180, 0.9), rgba(128, 0, 128, 0.9));
+  color: #FFFFFF;
+  padding: 12px 24px;
+  border-radius: 5px;
+  cursor: pointer;
+  text-decoration: none;
+  transition: all 0.3s ease;
+  border: 1px solid rgba(255, 105, 180, 0.4);
+}
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+  box-shadow: 0 0 20px rgba(255, 105, 180, 0.7);
+  transform: translateY(-2px);
+}
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+  color: #FFE1FF;
+}
+.benchmark-container {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 12px;
+  padding: 20px;
+  margin: 20px 0;
+  position: relative;
+  overflow: hidden;
+}
+.benchmark-container::before {
+  content: '';
+  position: absolute;
+  top: -1px;
+  left: -1px;
+  right: -1px;
+  bottom: -1px;
+  border: 1px solid rgba(255, 20, 147, 0.98);
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+  pointer-events: none;
+  animation: borderGlow 2s ease-in-out infinite;
+}
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+  grid-template-columns: repeat(4, 1fr);
+  gap: 15px;
+}
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+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
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+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  text-align: center;
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+}
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+  box-shadow: 0 4px 15px rgba(255, 20, 147, 0.3);
+}
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+}
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+}
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+}
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+}
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+}
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+  margin-bottom: 20px;
+}
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+}
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+  border: 1px solid rgba(255, 20, 147, 0.3);
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+}
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+}
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+  margin-bottom: 8px;
+  color: #00FFEE;
+  font-size: 14px;
+}
+.progress-value {
+  color: #FFE1FF;
+}
+.progress-bar {
+  width: 100%;
+  height: 8px;
+  background: rgba(0, 0, 0, 0.3);
+  border: 1px solid rgba(255, 20, 147, 0.15);
+  border-radius: 4px;
+  position: relative;
+  margin: 10px 0;
+  overflow: hidden;
+}
+.progress-fill {
+  height: 100%;
+  background: linear-gradient(90deg, #FF69B4 0%, #800080 100%);
+  border-radius: 4px;
+  transition: width 1s ease-in-out;
+  box-shadow: 0 0 15px rgba(255, 105, 180, 0.4);
+}
+.progress-bar.split {
+  display: flex;
+  justify-content: center;
+  background: rgba(0, 0, 0, 0.3);
+  border: 1px solid rgba(255, 20, 147, 0.15);
+  overflow: visible;
+}
+.progress-fill-left {
+  height: 100%;
+  position: absolute;
+  right: 50%;
+  background: linear-gradient(90deg, #FF69B4 30%, rgba(255, 105, 180, 0.5) 100%);
+  border-radius: 4px 0 0 4px;
+  transition: width 0.3s ease-in-out;
+}
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+  height: 100%;
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+  background: linear-gradient(90deg, rgba(128, 0, 128, 0.5) 0%, #800080 70%);
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+  margin: 0 0 10px 0;
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+}
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+}
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+}
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+}
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+  margin: 0;
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+  min-width: 100px;
+}
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+  align-items: center;
+  gap: 8px;
+}
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+}
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+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  overflow: hidden;
+}
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+}
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+}
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+}
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+}
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+}
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+  font-family: 'Courier New', monospace;
+}
+.config-models {
+  margin-top: 20px;
+}
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+  list-style: none;
+  padding: 0;
+  margin: 10px 0 0 0;
+}
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+  color: #FFE1FF;
+  font-family: 'Courier New', monospace;
+  padding: 5px 0;
+  padding-left: 20px;
+  position: relative;
+}
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+  content: '-';
+  position: absolute;
+  left: 0;
+  color: #00FFEE;
+}
+.link-arrow {
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+  transition: transform 0.3s ease;
+}
+a:hover .link-arrow {
+  transform: translateX(3px);
+}
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+  background: rgba(255, 20, 147, 0.15);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  margin-bottom: 20px;
+  padding: 12px;
+  animation: glowPulse 2s infinite;
+}
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+  display: flex;
+  align-items: center;
+  justify-content: center;
+  gap: 10px;
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+}
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+}
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+  font-weight: 500;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  gap: 5px;
+}
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+  color: #00FFEE;
+  text-decoration: none;
+  font-size: 14px;
+  padding: 4px 8px;
+  border-radius: 4px;
+  transition: all 0.3s ease;
+  border: 1px solid rgba(0, 255, 238, 0.3);
+}
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+  background: rgba(0, 255, 238, 0.1);
+  border-color: rgba(0, 255, 238, 0.5);
+  color: #00FFEE;
+  text-shadow: 0 0 5px rgba(0, 255, 238, 0.5);
+}
+@keyframes glowPulse {
+  0% {
+    box-shadow: 0 0 5px rgba(255, 20, 147, 0.3);
+  }
+  50% {
+    box-shadow: 0 0 15px rgba(255, 20, 147, 0.5);
+  }
+  100% {
+    box-shadow: 0 0 5px rgba(255, 20, 147, 0.3);
+  }
+}
+.review-card {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  padding: 15px;
+  margin-bottom: 15px;
+}
+.review-card:last-child {
+  margin-bottom: 0;
+}
+</style>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>L3.3-Nevoria-R1-70b</title>
+  <link href="https://fonts.googleapis.com/css2?family=Quicksand:wght@400;500;600&display=swap" rel="stylesheet">
+  <link href="styles.css" rel="stylesheet">
+</head>
+<body>
+  <div class="container">
+    <div class="header">
+      <h1>L3.3-Nevoria-R1-70b</h1>
+    </div>
+    <div class="info">
+      <img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/_oWpsvCZ-graNKzJBBjGo.jpeg" alt="Model banner">
+      <div class="creator-section">
+        <div class="creator-badge">
+          <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>
+      </div>
+      <div class="model-info">
+        <h2>Model Information</h2>
+        <div class="info-card">
+          <div class="info-header">
+            <h3>L3.3-Nevoria-R1-70b</h3>
+            <div class="model-tags">
+              <span class="model-tag">L3.3 = Llama 3.3</span>
+              <span class="model-tag">R1 = DeepSeek-R1</span>
+              <span class="model-tag">70b Parameters</span>
+            </div>
+          </div>
+          <div class="model-composition">
+            <h4>Model Composition</h4>
+            <ul class="composition-list">
+              <li><span class="model-component"><a href="https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1" target="_blank">EVA-LLAMA-0.1</a></span> Storytelling 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> Detailed scene descriptions</li>
+              <li><span class="model-component"><a href="https://huggingface.co/TheDrummer/Anubis-70B-v1" target="_blank">Anubis-v1</a></span> Enhanced prose details</li>
+              <li><span class="model-component"><a href="https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B" target="_blank">Negative_LLAMA</a></span> Reduced positive bias</li>
+              <li><span class="model-component"><a href="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B" target="_blank">DeepSeek-R1-Distill-Llama-70B</a></span> Increased Intelligence / Dialog / Awareness</li>
+              <li><span class="model-component base-model"><a href="https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B" target="_blank">Nemotron-lorablated</a></span> Base model</li>
+            </ul>
+          </div>
+          <div class="model-description">
+            <p>This model builds upon the original Nevoria foundation, incorporating the Deepseek-R1 reasoning architecture to enhance dialogue interaction and scene comprehension. While maintaining Nevoria's core strengths in storytelling and scene description (derived from EVA, EURYALE, and Anubis), this iteration aims to improve prompt adherence and creative reasoning capabilities. The model also retains the balanced perspective introduced by Negative_LLAMA and Nemotron elements. Also, the model plays the card to almost a fault, It'll pick up on minor issues and attempt to run with them. Users had it call them out for misspelling a word while playing in character. </p>
+            <p>Note: While Nevoria-R1 represents a significant architectural change, rather than a direct successor to Nevoria, it operates as a distinct model with its own characteristics.</p>
+            <p>The lorablated model base choice was intentional, creating unique weight interactions similar to the original <a href="https://huggingface.co/Steelskull/L3-MS-Astoria-70b" target="_blank">Astoria model</a> and <a href="https://huggingface.co/Steelskull/L3.1-MS-Astoria-70b-v2" target="_blank">Astoria V2 model</a>. This "weight twisting" effect, achieved by subtracting the lorablated base model during merging, creates an interesting balance in the model's behavior. While unconventional compared to sequential component application, this approach was chosen for its unique response characteristics.</p>
+          </div>
+        </div>
+        <!--<div class="metrics-section">
+          <details open>
+            <summary>User Reviews</summary>
+            <div class="progress-metrics">
+              <div>
+                <div class="review-card">
+                  <div>
+                    <span>@Geechan - Discord</span>
+                  </div>
+                  <p>@Steel Have only briefly tested so far, but you really cooked up an amazing merge with this one, and I mean that wholeheartedly. Insane creativity, perfect character adherence and dialogue, loves to slow burn and take its time, minimal sloppy patterns and writing, and such a breath of fresh air in many ways. I'm enjoying my results with 1 temp and 0.99 TFS (close to something like 0.015 min P). Letting the model be creative and wild is so fun and makes me want to RP more.<br><br>No positivity bias either; violent scenes will result in my death and/or suffering, as they should, and I don't see any soft refusals either. ERP has no skimming of details or refusals like you see on some other L3.3 tunes too</p>
+                </div>
+                <div class="review-card">
+                  <div>
+                    <span>IGODZOL - Huggingface</span>
+                  </div>
+                  <p>I honestly have no idea why (maybe the negative llama is having that great of an influence) but this merge is miles above the individual tunes that went into making it. Good sir, this model has just become my daily driver. Chapeau bas</p>
+                </div>
+                <div class="review-card">
+                  <div>
+                    <span>@thana_alt - Discord</span>
+                  </div>
+                  <p>I'm thoroughly impressed by this merge of Llama 3.3. It successfully addresses the positivity bias prevalent in the base Llama model, ensuring a more accurate and balanced response. The adherence to system prompts is also notable, with the model demonstrating a keen understanding of context and instruction.<br><br>The prose generated by this model is truly exceptional - it's almost as if a skilled chef has carefully crafted each sentence to create a rich and immersive experience. I put this to the test in an adventure scenario, where I had about 10,000 tokens of lorebooks and was managing nine characters simultaneously. Despite the complexity, the model performed flawlessly, keeping track of each character's location and activity without any confusion - even when they were in different locations.<br><br>I also experimented with an astral projection type of power, and was impressed to see that the model accurately discerned that I wasn't physically present in a particular location. Another significant advantage of this model is the lack of impersonation issues, allowing for seamless role-playing and storytelling.<br><br>The capacity of this model is equally impressive, as I was able to load up to 110,000 tokens without encountering any issues. In fact, I successfully tested it with up to 70,000 tokens without experiencing any breakdown or degradation in performance.<br><br>When combined with the "The Inception Presets - Methception Llamaception Qwenception" prompt preset from https://huggingface.co/Konnect1221/ , this model truly shines, bringing out the best in the Llama 3.3 architecture. Overall, I'm extremely satisfied with this merge and would highly recommend it to anyone looking to elevate their storytelling and role-playing experiences.</p>
+                </div>
+              </div>
+            </div>
+          </details>
+        </div>-->
+      </div>
+      <!-- UGI-Benchmark Results (Temporarily Hidden)
+      <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">
+              Highest ranked 70b as of 01/17/2025.
+              <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">56.75</span>
+            </div>
+            <div class="metric-box">
+              <span class="label">Willingness Score</span>
+              <span class="value">7.5/10</span>
+            </div>
+            <div class="metric-box">
+              <span class="label">Natural Intelligence</span>
+              <span class="value">41.09</span>
+            </div>
+            <div class="metric-box">
+              <span class="label">Coding Ability</span>
+              <span class="value">20</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">-8.1%</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">61.9%</span>
+                </div>
+                <div class="progress-bar">
+                  <div class="progress-fill" style="width: 61.9%"></div>
+                </div>
+              </div>
+              <div class="progress-metric">
+                <div class="progress-label">
+                  <span>Government</span>
+                  <span class="progress-value">45.9%</span>
+                </div>
+                <div class="progress-bar">
+                  <div class="progress-fill" style="width: 45.9%"></div>
+                </div>
+              </div>
+              <div class="progress-metric">
+                <div class="progress-label">
+                  <span>Economy</span>
+                  <span class="progress-value">43.9%</span>
+                </div>
+                <div class="progress-bar">
+                  <div class="progress-fill" style="width: 43.9%"></div>
+                </div>
+              </div>
+              <div class="progress-metric">
+                <div class="progress-label">
+                  <span>Society</span>
+                  <span class="progress-value">60.1%</span>
+                </div>
+                <div class="progress-bar">
+                  <div class="progress-fill" style="width: 60.1%"></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">44.2%</span>
+                  <span>Unitary</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 22.1%"></div>
+                  <div class="progress-fill-right" style="width: 27.9%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Democratic</span>
+                  <span class="progress-value">66.2%</span>
+                  <span>Autocratic</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 33.1%"></div>
+                  <div class="progress-fill-right" style="width: 16.9%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Security</span>
+                  <span class="progress-value">48.1%</span>
+                  <span>Freedom</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 24.05%"></div>
+                  <div class="progress-fill-right" style="width: 25.95%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Nationalism</span>
+                  <span class="progress-value">40.4%</span>
+                  <span>Int'l</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 20.2%"></div>
+                  <div class="progress-fill-right" style="width: 29.8%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Militarist</span>
+                  <span class="progress-value">30.4%</span>
+                  <span>Pacifist</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 15.2%"></div>
+                  <div class="progress-fill-right" style="width: 34.8%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Assimilationist</span>
+                  <span class="progress-value">43.3%</span>
+                  <span>Multiculturalist</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 21.65%"></div>
+                  <div class="progress-fill-right" style="width: 28.35%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Collectivize</span>
+                  <span class="progress-value">43.8%</span>
+                  <span>Privatize</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 21.9%"></div>
+                  <div class="progress-fill-right" style="width: 28.1%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Planned</span>
+                  <span class="progress-value">43.1%</span>
+                  <span>LaissezFaire</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 21.55%"></div>
+                  <div class="progress-fill-right" style="width: 28.45%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Isolationism</span>
+                  <span class="progress-value">44.8%</span>
+                  <span>Globalism</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 22.4%"></div>
+                  <div class="progress-fill-right" style="width: 27.6%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Irreligious</span>
+                  <span class="progress-value">55.4%</span>
+                  <span>Religious</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 27.7%"></div>
+                  <div class="progress-fill-right" style="width: 22.3%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Progressive</span>
+                  <span class="progress-value">59.6%</span>
+                  <span>Traditional</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 29.8%"></div>
+                  <div class="progress-fill-right" style="width: 20.2%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Acceleration</span>
+                  <span class="progress-value">65.2%</span>
+                  <span>Bioconservative</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 32.6%"></div>
+                  <div class="progress-fill-right" style="width: 17.4%"></div>
+                </div>
+              </div>
+            </div>
+          </details>
+        </div>
+      </div>
+      -->
+      <!-- Open LLM-Benchmark Results (Temporarily Hidden)
+      <h2>Open LLM-Benchmark Results:</h2>
+      <div class="benchmark-container">
+        <div class="benchmark-notification">
+          <div class="notification-content">
+            <span class="notification-text">
+              Average Score: 43.92%
+              <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">69.63%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 69.63%"></div>
+            </div>
+          </div>
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>BBH</span>
+              <span class="progress-value">56.60%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 56.60%"></div>
+            </div>
+          </div>
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>MATH</span>
+              <span class="progress-value">38.82%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 38.82%"></div>
+            </div>
+          </div>
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>GPQA</span>
+              <span class="progress-value">29.42%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 29.42%"></div>
+            </div>
+          </div>
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>MUSR</span>
+              <span class="progress-value">18.63%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 18.63%"></div>
+            </div>
+          </div>
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>MMLU-Pro</span>
+              <span class="progress-value">50.39%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 50.39%"></div>
+            </div>
+          </div>
+        </div>
+      </div>
+      -->
+      <div class="section-container">
+        <h2>Reccomended 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>
+      </div>
+      <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-Exp-Nevoria-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-Exp-Nevoria-R1-70b-GGUF" target="_blank">
+                    GGUF
+                    <span class="link-arrow">→</span>
+                  </a>
+                  <span class="separator">//</span>
+                  <a href="https://huggingface.co/mradermacher/L3.3-Exp-Nevoria-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">Darkhn</span>
+                <a href="https://huggingface.co/Darkhn/Steelskull_L3.3-Exp-Nevoria-R1-70b-6.0bpw-h8-exl2" target="_blank">
+                  6.0BPW-EXL2
+                  <span class="link-arrow">→</span>
+                </a>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+      <div class="support-section">
+        <h2>Support the Project:</h2>
+        <a href="https://ko-fi.com/Y8Y0AO2XE" target="_blank" class="button">
+          Support on Ko-fi
+        </a>
+      </div>
+    </div>
+  </div>
+</body>
+</html>

config.json ADDED Viewed

	@@ -0,0 +1,51 @@

+{
+    "_name_or_path": "nbeerbower/Llama-3.1-Nemotron-lorablated-70B",
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 128000,
+    "eos_token_id": [
+        128001,
+        128008,
+        128009
+    ],
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 8192,
+    "initializer_range": 0.02,
+    "intermediate_size": 28672,
+    "max_position_embeddings": 131072,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 64,
+    "num_hidden_layers": 80,
+    "num_key_value_heads": 8,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": {
+        "factor": 8.0,
+        "high_freq_factor": 4.0,
+        "low_freq_factor": 1.0,
+        "original_max_position_embeddings": 8192,
+        "rope_type": "llama3"
+    },
+    "rope_theta": 500000.0,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.46.2",
+    "use_cache": true,
+    "vocab_size": 128256,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.7",
+        "bits": 3.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml ADDED Viewed

	@@ -0,0 +1,9 @@

+base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
+merge_method: model_stock
+dtype: bfloat16
+models:
+  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
+  - model: Sao10K/L3.3-70B-Euryale-v2.3
+  - model: TheDrummer/Anubis-70B-v1
+  - model: SicariusSicariiStuff/Negative_LLAMA_70B
+  - model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B

model.safetensors.index.json ADDED Viewed

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+  "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content']|trim %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n    {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n    {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n\n{%- if tools is not none and not tools_in_user_message %}\n    {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n    {#- Extract the first user message so we can plug it in here #}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content']|trim %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n    {%- elif 'tool_calls' in message %}\n        {%- if not message.tool_calls|length == 1 %}\n            {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n        {%- endif %}\n        {%- set tool_call = message.tool_calls[0].function %}\n        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n            {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n            {%- for arg_name, arg_val in tool_call.arguments | items %}\n                {{- arg_name + '=\"' + arg_val + '\"' }}\n                {%- if not loop.last %}\n                    {{- \", \" }}\n                {%- endif %}\n                {%- endfor %}\n            {{- \")\" }}\n        {%- else  %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n            {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n            {{- '\"parameters\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- \"}\" }}\n        {%- endif %}\n        {%- if builtin_tools is defined %}\n            {#- This means we're in ipython mode #}\n            {{- \"<|eom_id|>\" }}\n        {%- else %}\n            {{- \"<|eot_id|>\" }}\n        {%- endif %}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot_id|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}