Awesome-Domain-LLM

Collects and organizes open-source models, datasets, and benchmark datasets for vertical domains.

CommonProductProductivityEfficiency AssistantLarge Model

Awesome-Domain-LLM is a project that collects and organizes open-source models, datasets, and benchmark datasets for vertical domains. The project includes open-source models, datasets, and benchmark datasets for multiple domains, including medical, legal, finance, and education, aiming to promote the empowerment of various industries by large models. Users can find models and datasets suitable for their fields in this project to improve work efficiency and quality.

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Awesome-Domain-LLM — Collects and organizes open-source models, datasets, and benchmark datasets for vertical domains.

Lingjing Matrix — A content creation and interaction platform based on large models.

Yuxi-Know — A knowledge graph question-and-answer system based on a large model RAG knowledge base, supporting multiple large model adaptations and local deployment.

Level-Navi Agent-Search — Level-Navi Agent is a ready-to-use framework that utilizes large language models for in-depth query understanding and precise search.

Signs — A platform leveraging artificial intelligence to facilitate learning and contributing to American Sign Language (ASL).

Dolphin R1 — Dolphin R1 is a dataset for training reasoning models, containing 800,000 samples.

GLM-PC — GLM-PC is a computer assistant built on the CogAgent visual language model designed to enhance the computer usage experience.

Nemotron-CC — Transforms Common Crawl into a refined long-term pre-training dataset.

HuatuoGPT-o1-70B — An advanced large language model for the healthcare sector

AGIBOT WORLD — A large-scale robotics learning dataset that drives the development of multi-purpose robotic strategies.

Valley-Eagle-7B — A multimodal large model that processes text, image, and video data.

Valley — A large multimodal model that processes text, image, and video data.

RapBank — The first rap music generation dataset

RLVR-GSM-MATH-IF-Mixed-Constraints — A dataset of math problems for reinforcement learning validation.

MAmmoTH-VL — A Large-Scale Multimodal Reasoning and Instruction Tuning Platform

FineWeb2 — Multilingual Pretrained Dataset

OLMo 2 1124 13B Preference Mixture — Large-scale multilingual preference mixture dataset

dolmino-mix-1124 — A high-quality dataset for the second phase of OLMo2 training.

WorkflowLLM — A data-driven framework that enhances the workflow orchestration capabilities of large language models.

Doubao Large Model — A large model developed by ByteDance, providing multimodal capabilities.

iFLYTEK Spark — Comprehensively benchmarks the AI large language model against GPT-4 Turbo.

GameGen-O — A diffusion transformation model designed for generating open-world video games.

CSGO — Application of content style synthesis in text-to-image generation.

Lin's Grand Model Ranking — Ranking of large model products more suited to the Chinese physique.

MedTrinity-25M — A large-scale multimodal medical dataset

Data-Juicer — A one-stop data processing system that provides high-quality data for large language models.

MINT-1T — A multimodal dataset comprising one trillion tokens and 3.4 billion images.

SA-V Dataset — Video dataset for training general object segmentation models.

Segment Anything Model 2 — A foundational model for visual segmentation of images and videos.

DCLM-baseline — High-performance language model benchmark dataset