| --- |
| thumbnail: >- |
| https://huggingface.co/PocketDoc/Dans-PersonalityEngine-V1.3.0-24b/resolve/main/resources/pe.png |
| license: apache-2.0 |
| tags: |
| - general-purpose |
| - roleplay |
| - storywriting |
| - chemistry |
| - biology |
| - code |
| - climate |
| - axolotl |
| - text-generation-inference |
| - finetune |
| - legal |
| - medical |
| - finance |
| - exl2 |
| datasets: |
| - PocketDoc/Dans-Prosemaxx-RP |
| - PocketDoc/Dans-Personamaxx-Logs-2 |
| - PocketDoc/Dans-Personamaxx-VN |
| - PocketDoc/Dans-Kinomaxx-VanillaBackrooms |
| - PocketDoc/Dans-Prosemaxx-Gutenberg |
| - PocketDoc/Dans-Prosemaxx-Cowriter-3-XL |
| - PocketDoc/Dans-Prosemaxx-Adventure |
| - PocketDoc/Dans-Failuremaxx-Adventure-3 |
| - PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-2 |
| - PocketDoc/Dans-Prosemaxx-InstructWriter-ZeroShot-3 |
| - PocketDoc/Dans-Prosemaxx-InstructWriter-Continue-2 |
| - PocketDoc/Dans-Prosemaxx-Instructwriter-Long |
| - PocketDoc/Dans-Prosemaxx-RepRemover-1 |
| - PocketDoc/Dans-MemoryCore-CoreCurriculum-Small |
| - AquaV/US-Army-Survival-Sharegpt |
| - AquaV/Multi-Environment-Operations-Sharegpt |
| - AquaV/Resistance-Sharegpt |
| - AquaV/Interrogation-Sharegpt |
| - AquaV/Chemical-Biological-Safety-Applications-Sharegpt |
| - AquaV/Energetic-Materials-Sharegpt |
| - PocketDoc/Dans-Mathmaxx |
| - PJMixers/Math-Multiturn-1K-ShareGPT |
| - PocketDoc/Dans-Taskmaxx |
| - PocketDoc/Dans-Taskmaxx-DataPrepper |
| - PocketDoc/Dans-Taskmaxx-ConcurrentQA-Reworked |
| - PocketDoc/Dans-Taskmaxx-TableGPT |
| - PocketDoc/Dans-Taskmaxx-SciRIFF |
| - PocketDoc/Dans-Taskmaxx-Edit |
| - PocketDoc/Dans-Toolmaxx-Agent |
| - PocketDoc/Dans-Toolmaxx-ShellCommands |
| - PocketDoc/Dans-Toolmaxx-Functions-Toolbench |
| - PocketDoc/Dans-Toolmaxx-Functions-ToolACE |
| - PocketDoc/Dans-Toolmaxx-Functions-apigen-subset |
| - PocketDoc/Dans-Assistantmaxx-OpenAssistant2 |
| - PocketDoc/Dans-Assistantmaxx-Opus-Merge-2 |
| - PocketDoc/Dans-Assistantmaxx-sonnetorca-subset |
| - PocketDoc/Dans-Assistantmaxx-sonnetorca-subset-2 |
| - PocketDoc/Dans-Assistantmaxx-Synthia |
| - PocketDoc/Dans-Assistantmaxx-ASL |
| - PocketDoc/Dans-Assistantmaxx-PersonaLLM-Opus |
| - PocketDoc/Dans-Assistantmaxx-LongAlign |
| - PocketDoc/Dans-Assistantmaxx-OpenLeecher-Instruct |
| - PocketDoc/Dans-Assistantmaxx-Tulu3-IF |
| - PocketDoc/Dans-Systemmaxx |
| - PocketDoc/Dans-Logicmaxx-SAT-AP |
| - PJMixers/grimulkan_theory-of-mind-ShareGPT |
| - PJMixers/grimulkan_physical-reasoning-ShareGPT |
| - PocketDoc/Dans-Reasoningmaxx-NaturalReasoning |
| - PocketDoc/Dans-Reasoningmaxx-WebInstruct |
| - PocketDoc/Dans-Reasoningmaxx-GeneralReasoning |
| - PocketDoc/Dans-Assistantmaxx-ClosedInstruct |
| language: |
| - en |
| - ar |
| - de |
| - fr |
| - es |
| - hi |
| - pt |
| - ja |
| - ko |
| base_model: |
| - PocketDoc/Dans-PersonalityEngine-V1.3.0-24b |
| base_model_relation: quantized |
| quantized_by: ArtusDev |
| pipeline_tag: text-generation |
| library_name: transformers |
| --- |
| <!doctype html> |
| <html lang="en"> |
| <head> |
| <meta charset="UTF-8" /> |
| <meta name="viewport" content="width=device-width, initial-scale=1.0" /> |
| <title>Dans-PersonalityEngine-V1.3.0-24b</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-V1.3.0-24b</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;"> |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠄⠀⡂⠀⠁⡄⢀⠁⢀⣈⡄⠌⠐⠠⠤⠄⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠀⡄⠆⠀⢠⠀⠛⣸⣄⣶⣾⡷⡾⠘⠃⢀⠀⣴⠀⡄⠰⢆⣠⠘⠰⠀⡀⠀⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠃⠀⡋⢀⣤⡿⠟⠋⠁⠀⡠⠤⢇⠋⠀⠈⠃⢀⠀⠈⡡⠤⠀⠀⠁⢄⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠁⡂⠀⠀⣀⣔⣧⠟⠋⠀⢀⡄⠀⠪⣀⡂⢁⠛⢆⠀⠀⠀⢎⢀⠄⢡⠢⠛⠠⡀⠀⠄⠀⠀ |
| ⠀⠀⡀⠡⢑⠌⠈⣧⣮⢾⢏⠁⠀⠀⡀⠠⠦⠈⠀⠞⠑⠁⠀⠀⢧⡄⠈⡜⠷⠒⢸⡇⠐⠇⠿⠈⣖⠂⠀ |
| ⠀⢌⠀⠤⠀⢠⣞⣾⡗⠁⠀⠈⠁⢨⡼⠀⠀⠀⢀⠀⣀⡤⣄⠄⠈⢻⡇⠀⠐⣠⠜⠑⠁⠀⣀⡔⡿⠨⡄ |
| ⠈⠂⠀⠆⠀⣼⣾⠟⠀⠑⠀⡐⠗⠉⠀⠐⠶⣤⡵⠋⠀⠠⠹⡌⡀⠘⠇⢠⣾⡣⣀⡴⠋⠅⠈⢊⠠⡱⡀ |
| ⠪⠑⢌⠂⣼⣿⡟⠀⠀⠙⠀⠀⠀⡀⠀⠀⠐⡞⡐⠀⠀⡧⠀⢀⠠⠀⣁⠾⡇⠀⠙⡁⠀⠀⢀⣨⣄⡠⢱ |
| ⣸⠈⠊⠙⣛⣿⡧⠔⠚⠛⠳⣄⣀⡬⠤⠬⠼⡣⠃⠀⢀⡗⠀⡤⠞⠙⠄⠂⠃⢀⣠⣤⠶⠙⠅⠁⠃⠋⠈ |
| ⢋⠼⣀⠰⢯⢿⠁⠀⢢⠀⠀⢐⠋⡀⠀⠈⠁⠀⣀⣰⠏⠒⠙⠈⠀⣀⡤⠞⢁⣼⠏⠘⢀⣀⢤⢤⡐⢈⠂ |
| ⠀⠢⠀⠀⠸⣿⡄⠲⠚⠘⠚⠃⢀⠀⠈⢋⠶⠛⠉⠉⢃⣀⢤⢾⠋⣁⡤⡚⠁⢹⠁⠠⢛⠠⠬⠁⢬⠀⠀ |
| ⠀⠈⢳⣒⠋⠉⣿⢐⠠⣀⣃⠀⠀⠉⠂⢁⣀⣀⡤⢞⠩⢑⡨⠰⡞⠁⠁⢀⡠⠾⠎⡈⡌⡈⡓⡀⠄⠀⠀ |
| ⠀⠀⠀⠉⠘⠃⢻⡒⠦⢼⣿⣛⣻⣿⡷⢄⣀⣀⣠⣴⢾⣿⣆⣡⡄⣠⣪⡿⣷⣾⣷⣧⡡⠅⣇⠍⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠙⠒⠒⠛⠛⠓⠉⢹⠀⣷⠴⣻⣽⡻⢧⢻⡿⡏⣼⢿⣻⢾⣿⣿⣿⡿⢠ ⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠂⠻⠨⠰⢋⡅⠉⣑⡇⡗⣿⢂⣸⡿⣿⣛⠿⠃⠁ ⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠳⣌⣙⣸⢧⣿⣕⣼⣇⢹⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣠⣸⢧⢟⢟⡟⣾⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢰⠙⣾⡟⣻⡕⣹⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢸⢰⡏⢠⡿⠾⠋⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⢸⠸⡇⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⢸⢸⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| </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-Small-3.1-24B-Base-2503 |
| 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-V1.3.0-24b/resolve/main/resources/DanChat-2.json?download=true" |
| download |
| target="_blank" |
| rel="noopener noreferrer" |
| > |
| Download Master JSON |
| </a> |
| </p> |
| <h3>Inference Provider</h3> |
| <p> |
| This model and others are available from ⚡Mancer AI for |
| those interested in high quality inference without |
| owning or renting expensive hardware. |
| </p> |
| <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 50 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: visuallyadequate@gmail.com</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); |
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| background: linear-gradient(145deg, #1a1a1a, #2a2a2a); |
| padding: 15px; |
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| border: 3px solid #0a0a0a; |
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| box-shadow: |
| inset 0 0 20px rgba(0, 0, 0, 0.5), |
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| 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); |
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| .terminal-screen details[open] summary { |
| margin-bottom: 0.5em; |
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| .badge-container, |
| .coffee-container { |
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| margin: 1em 0; |
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| .badge-container img, |
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| max-width: 100%; |
| height: auto; |
| } |
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| .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, |
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| font-size: clamp(10px, 1.3vw, 14px); |
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| margin: 1em 0; |
| background-color: #1a1a1a; |
| padding: 1em; |
| border-radius: 4px; |
| color: #e49b3e; |
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| } |
| .mancer-button-container { |
| text-align: left; |
| margin: 1em 0; |
| } |
| .mancer-button { |
| display: inline-flex; |
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| 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> |
