Hugging Face's logo

QuantFactory
/
L3-Aethora-15B-GGUF

Text Generation
Transformers
GGUF
llama-factory
Inference Endpoints
Model card Files Community
L3-Aethora-15B-GGUF
File size: 4,768 Bytes 
8975a1f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
 
---
library_name: transformers
tags:
- llama-factory
license: llama3
datasets:
- TheSkullery/Aether-Lite-V1.2
base_model: Steelskull/L3-Aethora-15B
pipeline_tag: text-generation
---

# QuantFactory/L3-Aethora-15B-GGUF
This is quantized  version of [Steelskull/L3-Aethora-15B](https://huggingface.co/Steelskull/L3-Aethora-15B) created using llama.cpp

# Model Description

<!DOCTYPE html>
<style>
body, html {
  height: 100%;  /* Ensure the full height of the page is used */
  margin: 0;
  padding: 0;
  font-family: 'Quicksand', sans-serif;
  background: linear-gradient(135deg, #2E3440 0%, #1A202C 100%);
  color: #D8DEE9;
  font-size: 16px;
}

.container {
  width: 100%; /* Full width */
  height: 100%; /* Full height */
  padding: 20px;
  margin: 0; /* Remove margin to fill the entire area */
  background-color: rgba(255, 255, 255, 0.02);
  border-radius: 12px;
  box-shadow: 0 4px 10px rgba(0, 0, 0, 0.2);
  backdrop-filter: blur(10px);
  border: 1px solid rgba(255, 255, 255, 0.1);
}

.header h1 {
  font-size: 28px;
  color: #5F9EA0;
  margin: 0 0 20px 0;
  text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3);
}

.update-section h2 {
  font-size: 24px;
  color: #88C0D0;
}

.update-section p {
  font-size: 16px;
  line-height: 1.6;
  color: #ECEFF4;
}

.info img {
  width: 100%;
  border-radius: 10px;
  margin-bottom: 15px;
}

a {
  color: #88C0D0;
  text-decoration: none;
}

a:hover {
  color: #A3BE8C;
}

.button {
  display: inline-block;
  background-color: #5E81AC;
  color: #E5E9F0;
  padding: 10px 20px;  
  border-radius: 5px;
  cursor: pointer;
  text-decoration: none;
}

.button:hover {
  background-color: #81A1C1;
}

pre {
  background-color: #2E3440;
  padding: 10px;
  border-radius: 5px;
  overflow-x: auto;
}

code {
  font-family: 'Courier New', monospace;
  color: #D8DEE9;
}
</style>

<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>L3-Aethora-15B Data Card</title>
  <link href="https://fonts.googleapis.com/css2?family=Quicksand:wght@400;500;600&display=swap" rel="stylesheet">
</head>
<body>
  <div class="container">
    <div class="header">
      <h1>L3-Aethora-15B</h1>
    </div>
    <div class="info">
      <img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/W0qzZK_V1Zt1GdgCIsnrP.png">
      <p>The Skullery Presents L3-Aethora-15B.</p>
      <p><strong>Creator:</strong> <a href="https://huggingface.co/steelskull" target="_blank">Steelskull</a></p>
      <p><strong>Dataset:</strong> <a href="https://huggingface.co/datasets/TheSkullery/Aether-Lite-V1.2" target="_blank">Aether-Lite-V1.2</a></p>
      <p><strong>Trained:</strong> 4 x A100 for 15 hours Using RsLora and DORA</p>
      <h1>About L3-Aethora-15B:</h1>
      <pre><code> L3 = Llama3 </code></pre>
      <p>L3-Aethora-15B was crafted through using the abilteration method to adjust model responses. The model's refusal is inhibited, focusing on yielding more compliant and facilitative dialogue interactions. It then underwent a modified DUS (Depth Up Scale) merge (originally used by @Elinas) by using passthrough merge to create a 15b model, with specific adjustments (zeroing) to 'o_proj' and 'down_proj', enhancing its efficiency and reducing perplexity. This created AbL3In-15b.<br>
      <p>AbL3In-15b was then trained for 4 epochs using Rslora & DORA training methods on the Aether-Lite-V1.2 dataset, containing ~82000 high quality samples, designed to strike a fine balance between creativity, slop, and intelligence at about a 60/40 split</p>  
      <p>This model is trained on the L3 prompt format.</p>
      <p></p>
      <h2>Dataset Summary: (Filtered)</h2>
      <p>Filtered Phrases: GPTslop, Claudism's</p>
      <ul>
        <li><strong>mrfakename/Pure-Dove-ShareGPT:</strong> Processed 3707, Removed 150</li>
        <li><strong>mrfakename/Capybara-ShareGPT:</strong> Processed 13412, Removed 2594</li>
        <li><strong>jondurbin/airoboros-3.2:</strong> Processed 54517, Removed 4192</li>
        <li><strong>PJMixers/grimulkan_theory-of-mind-ShareGPT:</strong> Processed 533, Removed 6</li>
        <li><strong>grimulkan/PIPPA-augmented-dedup:</strong> Processed 869, Removed 46</li>
        <li><strong>grimulkan/LimaRP-augmented:</strong> Processed 790, Removed 14</li>
        <li><strong>PJMixers/grimulkan_physical-reasoning-ShareGPT:</strong> Processed 895, Removed 4</li>
        <li><strong>MinervaAI/Aesir-Preview:</strong> Processed 994, Removed 6</li>
        <li><strong>Doctor-Shotgun/no-robots-sharegpt:</strong> Processed 9911, Removed 89</li>
      </ul>
      <h2>Deduplication Stats:</h2>
      <p>Starting row count: 85628, Final row count: 81960, Rows removed: 3668</p>
    </div>
  </div>
</body>
</html>