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Dans-PersonalityEngine-V1.3.0-12b
PocketDoc/Dans-PersonalityEngine-V1.3.0-12b
Dans-PersonalityEngine-V1.3.0-12b is a text generation model from PocketDoc. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
<!doctype html <html lang="en" <head <meta charset="UTF-8" / <meta name="viewport" content="width=device-width, initial-scale=1.0" / <titleDans-PersonalityEngine-V1.3.0-12b</title </head <div class="crt-container" <di…
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24.5 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- May 8, 2025
- Updated
- May 23, 2025
- SHA
- 62004ca4
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Dans-PersonalityEngine-V1.3.0-12b</title>
</head>
<div class="crt-container">
<div class="crt-case">
<div class="crt-inner-case">
<div class="crt-bezel">
<div class="terminal-screen">
<div style="text-align: center">
<h2>Dans-PersonalityEngine-V1.3.0-12b</h2>
<pre class="code-block" style="display: inline-block; text-align: left; font-size: clamp(2px, 0.8vw, 14px); line-height: 1.2; max-width: 100%; overflow: hidden; white-space: pre;">
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⠀⢌⠀⠤⠀⢠⣞⣾⡗⠁⠀⠈⠁⢨⡼⠀⠀⠀⢀⠀⣀⡤⣄⠄⠈⢻⡇⠀⠐⣠⠜⠑⠁⠀⣀⡔⡿⠨⡄
⠈⠂⠀⠆⠀⣼⣾⠟⠀⠑⠀⡐⠗⠉⠀⠐⠶⣤⡵⠋⠀⠠⠹⡌⡀⠘⠇⢠⣾⡣⣀⡴⠋⠅⠈⢊⠠⡱⡀
⠪⠑⢌⠂⣼⣿⡟⠀⠀⠙⠀⠀⠀⡀⠀⠀⠐⡞⡐⠀⠀⡧⠀⢀⠠⠀⣁⠾⡇⠀⠙⡁⠀⠀⢀⣨⣄⡠⢱
⣸⠈⠊⠙⣛⣿⡧⠔⠚⠛⠳⣄⣀⡬⠤⠬⠼⡣⠃⠀⢀⡗⠀⡤⠞⠙⠄⠂⠃⢀⣠⣤⠶⠙⠅⠁⠃⠋⠈
⢋⠼⣀⠰⢯⢿⠁⠀⢢⠀⠀⢐⠋⡀⠀⠈⠁⠀⣀⣰⠏⠒⠙⠈⠀⣀⡤⠞⢁⣼⠏⠘⢀⣀⢤⢤⡐⢈⠂
⠀⠢⠀⠀⠸⣿⡄⠲⠚⠘⠚⠃⢀⠀⠈⢋⠶⠛⠉⠉⢃⣀⢤⢾⠋⣁⡤⡚⠁⢹⠁⠠⢛⠠⠬⠁⢬⠀⠀
⠀⠈⢳⣒⠋⠉⣿⢐⠠⣀⣃⠀⠀⠉⠂⢁⣀⣀⡤⢞⠩⢑⡨⠰⡞⠁⠁⢀⡠⠾⠎⡈⡌⡈⡓⡀⠄⠀⠀
⠀⠀⠀⠉⠘⠃⢻⡒⠦⢼⣿⣛⣻⣿⡷⢄⣀⣀⣠⣴⢾⣿⣆⣡⡄⣠⣪⡿⣷⣾⣷⣧⡡⠅⣇⠍⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠙⠒⠒⠛⠛⠓⠉⢹⠀⣷⠴⣻⣽⡻⢧⢻⡿⡏⣼⢿⣻⢾⣿⣿⣿⡿⢠ ⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠂⠻⠨⠰⢋⡅⠉⣑⡇⡗⣿⢂⣸⡿⣿⣛⠿⠃⠁ ⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠳⣌⣙⣸⢧⣿⣕⣼⣇⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣠⣸⢧⢟⢟⡟⣾⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢰⠙⣾⡟⣻⡕⣹⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢸⢰⡏⢠⡿⠾⠋⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢸⠸⡇⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⢸⢸⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
</pre>
</div>
<p>
Dans-PersonalityEngine is a versatile model series
fine-tuned on 50+ specialized datasets, designed to
excel at both creative tasks (like roleplay and
co-writing) and technical challenges (such as code
generation, tool use, and complex reasoning).
</p>
<p>
V1.3.0 introduces multilingual capabilities with
support for 10 languages and enhanced domain
expertise across multiple fields. The primary
language is still English and that is where peak
performance can be expected.
</p>
<h3>Multilingual Support</h3>
<pre class="code-block">
Arabic Chinese English French German
Hindi Japanese Korean Portuguese Spanish</pre>
<h3>Key Details</h3>
<pre class="code-block">
BASE MODEL: mistralai/Mistral-Nemo-Base-2407
LICENSE: apache-2.0
LANGUAGE: Multilingual with 10 supported languages
CONTEXT LENGTH: 32768 tokens, 131072 with degraded recall</pre>
<h3>Recommended Settings</h3>
<pre class="code-block">
TEMPERATURE: 1.0
TOP_P: 0.9</pre>
<h3>Prompting Format</h3>
<p>
The model uses the following format I'll refer to as
"DanChat-2":
</p>
<pre class="code-block">
<|system|>system prompt<|endoftext|><|user|>Hi there!<|endoftext|><|assistant|>Hey, how can I help?<|endoftext|></pre>
<h3>Why not ChatML?</h3>
<p>
While ChatML is a standard format for LLMs, it has
limitations. DanChat-2 uses special tokens
for each role, this reduces biases and helps the model adapt to different tasks more readily.
</p>
<h3>SillyTavern Template</h3>
<p>
<a
href="https://huggingface.co/PocketDoc/Dans-PersonalityEngine-V1.3.0-12b/resolve/main/resources/DanChat-2.json?download=true"
download
target="_blank"
rel="noopener noreferrer"
>
Download Master JSON
</a>
</p>
<h3>Inference Provider</h3>
This model and others are available from ⚡Mancer AI for
those interested in high quality inference without
owning or renting expensive hardware.
<p class="mancer-button-container">
<a
href="https://mancer.tech/"
target="_blank"
rel="noopener noreferrer"
class="mancer-button"
>
<span class="mancer-text">mancer</span>
</a>
</p>
<h3>Training Process</h3>
<p>
The model was trained using Axolotl on 8x H100 GPUs
for 27 hours. The resources to train this model were provided by Prime Intellect and Kalomaze.
</p>
<h3>Support Development</h3>
<p>
Development is limited by funding and resources. To
help support:
</p>
<p>- Contact on HF</p>
<p>- Email: [email protected]</p>
<p class="coffee-container">
<a
href="https://www.buymeacoffee.com/visually"
target="_blank"
rel="noopener noreferrer"
>
<img
src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png"
alt="Buy Me A Coffee"
height="45"
width="162"
/>
</a>
</p>
</div>
</div>
</div>
</div>
</div>
<style>
@import url("https://fonts.googleapis.com/css2?family=Consolas&display=swap");
.crt-container {
padding: 10px;
max-width: 1000px;
margin: 0 auto;
width: 95%;
}
.crt-case {
background: #e8d7c3;
border-radius: 10px;
padding: 15px;
box-shadow:
inset -2px -2px 5px rgba(0, 0, 0, 0.3),
2px 2px 5px rgba(0, 0, 0, 0.2);
}
.crt-inner-case {
background: #e8d7c3;
border-radius: 8px;
padding: 3px;
box-shadow:
inset -1px -1px 4px rgba(0, 0, 0, 0.3),
1px 1px 4px rgba(0, 0, 0, 0.2);
}
.crt-bezel {
background: linear-gradient(145deg, #1a1a1a, #2a2a2a);
padding: 15px;
border-radius: 5px;
border: 3px solid #0a0a0a;
position: relative;
box-shadow:
inset 0 0 20px rgba(0, 0, 0, 0.5),
inset 0 0 4px rgba(0, 0, 0, 0.4),
inset 2px 2px 4px rgba(255, 255, 255, 0.05),
inset -2px -2px 4px rgba(0, 0, 0, 0.8),
0 0 2px rgba(0, 0, 0, 0.6),
-1px -1px 4px rgba(255, 255, 255, 0.1),
1px 1px 4px rgba(0, 0, 0, 0.3);
}
.crt-bezel::before {
content: "";
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: linear-gradient(
45deg,
rgba(255, 255, 255, 0.03) 0%,
rgba(255, 255, 255, 0) 40%,
rgba(0, 0, 0, 0.1) 60%,
rgba(0, 0, 0, 0.2) 100%
);
border-radius: 3px;
pointer-events: none;
}
.terminal-screen {
background: #111112;
padding: 20px;
border-radius: 15px;
position: relative;
overflow: hidden;
font-family: "Consolas", monospace;
font-size: clamp(12px, 1.5vw, 16px);
color: #e49b3e;
line-height: 1.4;
text-shadow: 0 0 2px #e49b3e;
/* Removed animation: flicker 0.15s infinite; */
filter: brightness(1.1) contrast(1.1);
box-shadow:
inset 0 0 30px rgba(0, 0, 0, 0.9),
inset 0 0 8px rgba(0, 0, 0, 0.8),
0 0 5px rgba(0, 0, 0, 0.6);
max-width: 80ch;
margin: 0 auto;
}
.terminal-screen h2,
.terminal-screen h3 {
font-size: clamp(16px, 2vw, 20px);
margin-bottom: 1em;
color: #e49b3e;
}
.terminal-screen pre.code-block {
font-size: clamp(10px, 1.3vw, 14px);
white-space: pre; /* Changed from pre-wrap to pre */
margin: 1em 0;
background-color: #1a1a1a;
padding: 1em;
border-radius: 4px;
color: #e49b3e;
overflow-x: auto; /* Added to enable horizontal scrolling */
}
.terminal-screen::before {
content: "";
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background:
linear-gradient(
rgba(18, 16, 16, 0) 50%,
rgba(0, 0, 0, 0.25) 50%
),
url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADIAAAAyBAMAAADsEZWCAAAAGFBMVEUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4o8JoAAAAB3RSTlMAGwQIEQMYADcPzwAAACJJREFUKM9jYBgFo2AU0Beg+A8YMCLxGYZCbNQEo4BaAAD5TQiR5wU9vAAAAABJRU5ErkJggg==");
background-size: 100% 2.5px;
/* Removed animation: scan 1s linear infinite; */
pointer-events: none;
z-index: 2;
}
.terminal-screen::after {
content: "";
position: absolute;
top: 0;
left: 0;
right: 0;
bottom: 0;
background: radial-gradient(
circle at center,
rgba(17, 17, 18, 0) 0%,
rgba(17, 17, 18, 0.2) 50%,
rgba(17, 17, 18, 0.15) 100%
);
border-radius: 20px;
/* Removed animation: vignette-pulse 3s infinite; */
pointer-events: none;
z-index: 1;
}
.terminal-screen details {
margin: 1em 0;
padding: 0.5em;
border: 1px solid #e49b3e;
border-radius: 4px;
}
.terminal-screen summary {
cursor: pointer;
font-weight: bold;
margin: -0.5em;
padding: 0.5em;
border-bottom: 1px solid #e49b3e;
color: #e49b3e;
}
.terminal-screen details[open] summary {
margin-bottom: 0.5em;
}
.badge-container,
.coffee-container {
text-align: center;
margin: 1em 0;
}
.badge-container img,
.coffee-container img {
max-width: 100%;
height: auto;
}
.terminal-screen a {
color: #e49b3e;
text-decoration: underline;
transition: opacity 0.2s;
}
.terminal-screen a:hover {
opacity: 0.8;
}
.terminal-screen strong,
.terminal-screen em {
color: #f0f0f0; /* off-white color for user/system messages */
}
.terminal-screen p {
color: #f0f0f0; /* off-white color for assistant responses */
}
.terminal-screen p,
.terminal-screen li {
color: #e49b3e;
}
.terminal-screen code,
.terminal-screen kbd,
.terminal-screen samp {
color: #e49b3e;
font-family: "Consolas", monospace;
text-shadow: 0 0 2px #e49b3e;
background-color: #1a1a1a;
padding: 0.2em 0.4em;
border-radius: 4px;
}
.terminal-screen pre.code-block,
.terminal-screen pre {
font-size: clamp(10px, 1.3vw, 14px);
white-space: pre; /* Changed from pre-wrap to pre */
margin: 1em 0;
background-color: #1a1a1a;
padding: 1em;
border-radius: 4px;
color: #e49b3e;
overflow-x: auto; /* Added to enable horizontal scrolling */
}
.mancer-button-container {
text-align: left;
margin: 1em 0;
}
.mancer-button {
display: inline-flex;
align-items: center;
gap: 8px;
background: #1a1a1a;
color: #e49b3e;
padding: 15px 15px;
border: 2px solid #e49b3e;
border-radius: 5px;
text-decoration: none !important;
box-shadow: 0 0 10px rgba(228, 155, 62, 0.3);
transition: all 0.3s ease;
position: relative;
}
.mancer-text {
font-family: "Consolas", monospace;
font-weight: bold;
font-size: 20px;
text-shadow: 0 0 2px #e49b3e;
line-height: 1;
display: inline-block;
margin-left: -4px;
margin-top: -2px;
}
.mancer-button::before {
content: "⚡";
display: inline-flex;
align-items: center;
justify-content: center;
font-size: 20px;
line-height: 1;
}
.mancer-button:hover {
background: #2a2a2a;
box-shadow: 0 0 15px rgba(228, 155, 62, 0.5);
text-shadow: 0 0 4px #e49b3e;
text-decoration: none !important;
}
</style>
</html>
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Languages
- en, ar, de, fr, es, hi
- Featherless Ai
- live
- Created
- May 8, 2025
- Updated
- May 23, 2025