Mag-Picaro-72B Open-Source Dialogue Model - Free Deployment of the Upgraded Version, Offering a Superior Interaction Experience

Mag Picaro 72B

Developed by Delta-Vector

An upgraded version of Mag-Picaro, funded by PygmalionAI, fine-tuned based on Qwen-2-Instruct and merged with Magnum-V2, a 72B parameter model

Large Language Model

Transformers

English#Role-Playing Optimization #Narrative Enhancement #Multi-Turn Dialogue

Downloads 113

Release Time : 4/5/2025

Model Overview

A large language model focused on role-playing and story creation, supporting complex narrative interactions and character development

Model Features

Role-Playing Optimization

Specially optimized for role-playing scenarios, capable of maintaining character personalities and driving plot development

Multimodal Responses

Supports composite response formats including dialogue, actions, and thoughts

Narrative Control

Can actively drive plot development and introduce storylines at appropriate times

Sensory Descriptions

Capable of using the five senses to describe dialogue scenes, enhancing immersion

Model Capabilities

Role-Playing

Story Creation

Narrative Interaction

Emotional Expression

Multi-Turn Dialogue

Use Cases

Entertainment

Interactive Story Creation

Co-creating interactive stories with users

Generates coherent and creative narratives

Role-Playing Games

Interacting with players as NPCs in games

Provides dynamic and character-appropriate responses

Creative Writing

Writing Assistance

Helping writers develop plots and characters

Offers creative inspiration and writing suggestions

🚀 Mag-Picaro-12B

Picaro is all grown up...

✨ Features

A scaled up version of Mag - Picaro, funded by PygmalionAI as an alternative to their Magnum Large option.
Fine - tuned on top of Qwen - 2 - Instruct, then slerp - merged at 50/50 weight with Magnum - V2.

📦 Model Information

Property	Details
Base Model	Qwen/Qwen2 - 72B - Instruct
Pipeline Tag	text - generation
Library Name	transformers
Language	en
Tags	roleplay, finetune, qwen, story - writing

📥 Quantized Models

💻 Usage Examples

Basic Usage

Magpicaro uses the ChatML format. A typical conversation should be structured as:

<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant

Recommended System Prompt

View Euryale System Prompt

Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}. • Maintain the character persona but allow it to evolve with the story. • Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant. • All types of outputs are encouraged; respond accordingly to the narrative. • Include dialogues, actions, and thoughts in each response. • Utilize all five senses to describe scenarios within {{char}}'s dialogue. • Use emotional symbols such as "!" and "~" in appropriate contexts. • Incorporate onomatopoeia when suitable. • Allow time for {{user}} to respond with their own input, respecting their agency. • Act as secondary characters and NPCs as needed, and remove them when appropriate. • When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}. • Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona. • Writing for, speaking, thinking, acting, or replying as {{user}} in your response. • Repetitive and monotonous outputs. • Positivity bias in your replies. • Being overly extreme or NSFW when the narrative context is inappropriate.

Follow the instructions in , avoiding the items listed in .

🔧 Technical Details

Configuration

View Axolotl Config

https://wandb.ai/new-eden/tavbussy/artifacts/axolotl-config/config-n68z3imh/v0/files/axolotl_config_qhe749gq.yml

Mergekit

View Mergekit Config

https://files.catbox.moe/gjaazp.yml

The model was trained for 4 epochs on 8x NVIDIA H200s GPUs generously provided by @Tav.

⚠️ Credits

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