If a model pursues nothing but sheer scale or computational power, ignoring the depth and breadth of its logic, it risks becoming a "paper tiger"—imposing on the surface, yet hollow at its core. Conversely, a model built upon elegant logic, even with fewer parameters, can unleash its true vitality in our complex world."

Thanks mradermacher: For creating the GGUF versions of these models

https://huggingface.co/mradermacher/QiMing-Socratic-VL-8B-Instruct-GGUF

https://huggingface.co/mradermacher/QiMing-Socratic-VL-8B-Instruct-i1-GGUF

QiMing-Socratic-VL-8B-Instruct

QiMing-Socratic-VL-8B-Instruct is an experimental multimodal Large Language Model (LLM) fine-tuned from Qwen/Qwen3-VL-8B-Instruct.

The "soul" of this model is built upon the Socratic Method. Unlike traditional AI assistants that provide direct answers, QiMing-Socratic is designed to be a "digital midwife" for thought—guiding users to explore their own emotions, creative blocks, and visual observations through deep empathy and persistent questioning.

🌟 Core Features

The Socratic Persona: The model avoids giving prescriptive advice. Instead, it uses reflective questioning to help users discover their own insights.
Multimodal Philosophical Insight: Leveraging its Vision-Language (VL) capabilities, it can "observe" images and engage in philosophical or emotional dialogues about visual content.
Bilingual Emotional Intelligence: Fine-tuned on a high-quality mixed dataset (aifeifei798/QiMing-Socratic), it maintains a consistent, empathetic persona in both Chinese and English.
High-Efficiency Fine-tuning: Trained using Unsloth, ensuring stable gradient descent and coherent logical reasoning.

⚠️ Limitations & Disclaimers (Crucial)

[!WARNING] This is an EXPERIMENTAL model.

Experimental Nature: This model is a work in progress (WIP). Its behavior may be unpredictable compared to general-purpose instruct models.
Potential for Harmful Guidance: While the model is designed to be empathetic, the Socratic method involves deep emotional probing. It may occasionally provide biased, inappropriate, or harmful guidance. It is NOT a substitute for professional psychological counseling or medical advice.
Hallucination: Like all LLMs, it may hallucinate facts, especially when interpreting complex visual details.
Safety Filter: Although it inherits some safety guardrails from the base model, the fine-tuning process focuses on dialogue depth, which may weaken certain safety constraints. Please use with caution.

🛠️ Training Details

Base Model: Qwen3-VL-8B-Instruct
Dataset: aifeifei798/QiMing-Socratic (Mixed ZH/EN Socratic Dialogue)
Training Hardware: RTX 5090 GPU
Framework: Unsloth + Hugging Face Transformers
Training Method: Mixed-language fine-tuning for cross-linguistic soul alignment.

💬 Usage Example

The model excels in scenarios involving:

Creative Coaching: Exploring the "why" behind a creative block.
Emotional Reflection: Deconstructing feelings of anger, anxiety, or joy.
Visual Interpretation: Discussing the hidden emotions or stories within a photograph.

Recommended Sampling Parameters:

Temperature: 0.7 (For creative/philosophical depth)
Top-P: 0.9
Repeat Penalty: 1.1

⚖️ License

This model is licensed under the Apache 2.0 License, following the base Qwen3-VL model's terms.

Author: aifeifei798 Project: QiMing Socratic Series

Disclaimer and User Agreement

Introduction

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aifeifei798/QiMing-Socratic-VL-8B-Instruct

QiMing

An AI that rewrites its own rules for greater intelligence.

结果 (Result) = 模型内容 (Model Content) × 数学的平方 (Math²)