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elva

On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning, EMNLP 2024 (to appear)

900

InternLM-XComposer

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Language:PythonApache-2.0247600

VLMEvalKit

Open-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 40+ benchmarks

Language:PythonApache-2.0114700

SEED

Official implementation of SEED-LLaMA (ICLR 2024).

Language:PythonNOASSERTION56900

LLaVA-HR

LLaVA-HR: High-Resolution Large Language-Vision Assistant

Language:PythonApache-2.020600

LLaVA-Plus-Codebase

LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills

Language:PythonApache-2.069800

MoE-LLaVA

Mixture-of-Experts for Large Vision-Language Models

Language:PythonApache-2.0193700

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Language:Jupyter NotebookMIT2526000

OpenMoE

A family of open-sourced Mixture-of-Experts (MoE) Large Language Models

Language:Python137100

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

Language:PythonApache-2.02940700

llm-on-ray

Pretrain, finetune and serve LLMs on Intel platforms with Ray

Language:PythonApache-2.09900

LLaMA2-Accessory

An Open-source Toolkit for LLM Development

Language:PythonNOASSERTION270200

KcBERT

🤗 Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋

MIT47400