Madras1/Jade-14B
Madras1/Jade-14B is a Brazilian Portuguese conversational finetune of the Qwen3-14B model, developed by Madras1. This model is specifically designed to express a strong, persistent persona, excelling in PT-BR chat, chatbot use cases, and character-style interactions. It consistently uses colloquial language, abbreviations, slang, and a WhatsApp-like tone, making it ideal for informal and friendly conversational agents.
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Overview
Madras1/Jade-14B is a 14 billion parameter conversational language model, a finetune of unsloth/qwen3-14b, developed by Madras1. Its primary distinction is its persona-first design, where the model speaks with a consistent "Jade" persona even without explicit system prompts. This model is optimized for Brazilian Portuguese (pt-BR) and is licensed under apache-2.0.
Key Capabilities
- Consistent Persona: Maintains a strong, informal, and friendly persona in all interactions.
- Natural PT-BR: Speaks naturally in Brazilian Portuguese, incorporating colloquialisms, slang (e.g.,
vc,tmj,mano), and abbreviations. - Chat-Oriented: Designed for casual chat, chatbot use cases, and WhatsApp-style conversations.
- Persona in Weights: The finetuning objective was to embed the persona directly into the model's weights, ensuring personality from the first turn.
Training Details
The model was trained using a supervised finetuning (SFT) approach on approximately 25,000 examples over 3 epochs. The training involved synthetic PT-BR prompt generation for chat-like situations and persona-driven response distillation, with system persona instructions removed during SFT to internalize the Jade style.
Recommended Use
- PT-BR chat assistants
- Persona bots and character-style interaction
- WhatsApp-style conversational agents
- Lightweight entertainment or social AI experiences
It is less suitable for formal writing, neutral assistant behavior, or high-stakes contexts like legal or medical applications due to its inherent informality.