General
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🛠️ Installation
- Clone this repository:
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General
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CogVLM & CogAgent
📗 [README in English](./README.md)
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CogVLM-SFT-311K：CogVLM SFT 中的双语视觉指令数据集
CogVLM-SFT-311K 是我们在训练 **CogVLM v1.0** 最初版本时使用的主要对齐语料库。此数据集的构建过程如下：
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CogVLM & CogAgent
📗 [中文版README](./README_zh.md)
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CogVLM-SFT-311K: Bilingual Visual Instruction Data in CogVLM SFT
CogVLM-SFT-311K is the primary aligned corpus used in the initial training of CogVLM v1.0. The process of constructing this dataset is as follows:
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.hypothesis/
__pycache__
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SAT_HOME=~/.sat_models
LOCAL_WORLD_SIZE=8
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Configuration for Cog ⚙️
build:
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🌋 LLaVA: Large Language and Vision Assistant
*Visual instruction tuning towards large language and vision models with GPT-4 level capabilities.*
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Python
__pycache__
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https://git-scm.com/docs/gitattributes
* text=auto
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root = true
[*]
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The .dockerignore file excludes files from the container build process.
.git
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This file inherits settings from mkdocs.yml but adds the PDF plugin.
INHERIT: ./mkdocs.yml
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site_name: Ragas
site_description: Evaluation framework for your AI Application
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Security Policy
We take the security of RAGAS seriously. If you discover a security vulnerability in this project, please report it to us privately. **Do not report security vulnerabilities through public GitHub issues, discussions, or pull requests.**
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<h1 align="center">
<img style="vertical-align:middle" height="200"
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Development Guide for Ragas Monorepo
This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.
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Code of Conduct
We are committed to providing a welcoming and inclusive environment for all people, regardless of age, body size, caste, disability, ethnicity, gender identity and expression, level of experience, family status, gender, immigration status, level of expertise, national origin, personal appearance, po
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CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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version: 2
mkdocs:
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.gitattributes
No description available.
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General
.DS_Store
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Pre-commit configuration for entire ragas monorepo
repos:
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