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Sophia-v2/README.md
ModelHub XC 1d7ecea62a 初始化项目,由ModelHub XC社区提供模型
Model: lucasbischofchaperon/Sophia-v2
Source: Original Platform
2026-09-12 04:14:16 +08:00

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---
license: apache-2.0
base_model: Qwen/Qwen2.5-7B-Instruct
library_name: llama.cpp
pipeline_tag: text-generation
language:
- de
- en
tags:
- gguf
- qwen2.5
- history
- archaeology
- ancient-texts
- religious-studies
- biblical-studies
- research-assistant
- local-ai
- german
- english
- lm-studio
---
# Chaperon-Sophia-v2
An experimental research assistant for archaeology, history, biblical studies, and ancient texts.
Developed by **Chaperon GmbH** and **Lucas Bischof**, Sophia-v2 demonstrates a complete end-to-end AI workflow including multimodal data processing, document extraction, dataset generation, LoRA fine-tuning, GGUF deployment, and local AI integration.
## Overview
Sophia-v2 is a custom fine-tuned variant of **Qwen2.5-7B-Instruct** designed to explore historical, textual, archaeological, and religious source material through natural conversation.
The project serves both as a technical showcase of Chaperon GmbH's AI capabilities and as a practical proof-of-concept for domain-specific model adaptation.
## Project Goals
This project demonstrates the ability to:
- Process large collections of PDFs
- Extract text from historical documents
- Convert audio and video into training datasets
- Process image-based source material
- Generate structured instruction datasets
- Fine-tune Large Language Models using LoRA
- Merge and deploy custom models
- Publish GGUF models for local inference
## Training Sources
The training process included the preparation and processing of curated material related to:
- CDLI Cuneiform Collections
- ETCSL Translations
- Ancient Mesopotamian Literature
- Biblical Texts
- Apocryphal Literature
- Gnostic Literature
- Gospel of Mary
- Pistis Sophia
- Comparative Religion
- Historical Source Material
- Archaeological Research
The focus of Sophia-v2 is source-oriented exploration and discussion rather than authoritative interpretation.
## Intended Audience
Sophia-v2 may be useful for:
- Archaeology enthusiasts
- History researchers
- Biblical scholars
- Comparative religion communities
- Independent researchers
- Educational projects
- Digital humanities initiatives
## Available Models
### Sophia_v2_q5_K_M.gguf
Recommended version for most users.
Provides an excellent balance between quality, performance, and memory usage.
### Sophia_v2_f16.gguf
Reference-quality version.
Provides maximum fidelity while requiring significantly more storage and memory.
## Technical Specifications
Base Model:
- Qwen/Qwen2.5-7B-Instruct
Training Method:
- Supervised Fine Tuning (SFT)
- LoRA Adaptation
- Model Merge
- GGUF Conversion
Deployment Targets:
- LM Studio
- llama.cpp
- Open WebUI
- KoboldCpp
## Limitations
Sophia-v2 is a language model and may:
- Generate incorrect information
- Misinterpret source material
- Produce inaccurate citations
- Present plausible but incorrect conclusions
Users should verify important claims using primary and scholarly sources.
## About Chaperon GmbH
Sophia-v2 serves as a public demonstration of the capabilities of Chaperon GmbH in:
- Multimodal data processing
- Knowledge extraction
- AI training pipelines
- Custom model development
- Local AI deployment
- Enterprise AI integration
## Credits
Created by:
**Lucas Bischof**
**Chaperon GmbH**
Base Model:
**Qwen/Qwen2.5-7B-Instruct**
GGUF Conversion:
**llama.cpp**
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