💻 programming

llm-datasets

High-quality datasets, tools, and concepts for fine-tuning large language models.

#Artificial Intelligence
#programming
#LLM
#Dataset
#fine-tuning
llm-datasets

Product Details

mlabonne/llm-datasets is a collection of high-quality datasets and tools focused on fine-tuning large language models (LLMs). The product provides researchers and developers with a range of carefully selected and optimized datasets to help them better train and optimize their language models. Its main advantage lies in the diversity and high quality of the data set, which can cover a variety of usage scenarios, thus improving the generalization ability and accuracy of the model. In addition, the product provides tools and concepts to help users better understand and use these data sets. Background information includes being created and maintained by mlabonne to advance the field of LLM.

Main Features

1
Provides a variety of high-quality data sets, including general mixed data sets, mathematical data sets, code data sets, etc., to meet the needs of different scenarios.
2
Support the diversity and complexity of data sets, ensure the accuracy and diversity of data, and improve the generalization ability of the model.
3
Provides data quality assessment tools to help users filter and optimize data sets and improve data quality.
4
Support data generation tools to help users generate more high-quality data and fill data gaps.
5
Provide data exploration tools to help users better understand and analyze data sets and discover patterns and characteristics in the data.
6
Detailed documentation and tutorials are provided to help users better use these data sets and tools.
7
Supports multiple programming languages ​​and frameworks to facilitate users to use it in different development environments.
8
Provide community support and collaboration platform to promote communication and cooperation among users and jointly promote the development of the LLM field.

How to Use

1
Visit the mlabonne/llm-datasets GitHub page to see the available datasets and tools.
2
Select a dataset that suits your needs and download or clone it locally.
3
Filter and optimize your dataset using the provided data quality assessment tools.
4
Use data generation tools to generate more high-quality data and fill data gaps.
5
Use data exploration tools to analyze data sets and discover patterns and characteristics in the data.
6
Use the dataset for model training and testing as needed.
7
Consult the provided documentation and tutorials to learn how to best use these datasets and tools.
8
Participate in community discussions and collaborations, and exchange experiences and insights with other users.

Target Users

This product is primarily aimed at researchers and developers, especially those who need to fine-tune and optimize large language models. It is suitable for users who need high-quality datasets to train and test their own models, as well as those who need tools to evaluate and generate data.

Examples

Researchers can use the mathematical data sets in the product to train and optimize their language models, improving the model's capabilities in mathematical reasoning and logical reasoning.

Developers can use the code data sets in the product to train and optimize their language models, improving the model's capabilities in code understanding and generation.

Enterprises can use the universal mixed data set in this product to train and optimize their language models, improving the model's application capabilities in a variety of scenarios.

Quick Access

Visit Website →

Categories

💻 programming
› AI model
› Development and Tools

Related Recommendations

Discover more similar quality AI tools

Gpt 5 Ai

Gpt 5 Ai

GPT 5 is the next milestone in the development of AI, with unparalleled capabilities. Benefits include enhanced reasoning, advanced problem-solving, and unprecedented understanding. Please refer to the official website for price information.

Artificial Intelligence data analysis
💻 programming
Grok 4

Grok 4

Grok 4 is the latest version of the large-scale language model launched by xAI, which will be officially released in July 2025. It has leading natural language, mathematics and reasoning capabilities and is a top model AI. Grok 4 represents a huge step forward, skipping the expected Grok 3.5 version to speed up progress in the fierce AI competition.

Artificial Intelligence multimodal
💻 programming
DataLearner pre-training model platform

DataLearner pre-training model platform

This platform is a resource platform focusing on AI pre-training models, integrating a large number of pre-training models of different types, scales and application scenarios. Its importance lies in providing AI developers and researchers with convenient access to models and lowering the threshold for model development. The main advantages include detailed model classification, powerful multi-dimensional filtering function, detailed information display and intelligent recommendations. The product background is that with the development of AI technology, the demand for pre-trained models is growing day by day, and the platform emerged as the times require. The platform is mainly positioned as an AI model resource platform. Some models are free for commercial use, and some may require payment. The specific price varies depending on the model.

AI model Pre-trained model
💻 programming
Pythagora

Pythagora

Pythagora is an all-round AI development platform that provides real debugging tools and production capabilities to help you launch practical applications. Its main advantage is that it provides powerful AI development capabilities to make applications more intelligent.

AI development Full stack application
💻 programming
DeepSeek R1-0528

DeepSeek R1-0528

DeepSeek R1-0528 is the latest version released by DeepSeek, a well-known open source large model platform, with high-performance natural language processing and programming capabilities. Its release attracted widespread attention due to its excellent performance in programming tasks and its ability to accurately answer complex questions. This model supports a variety of application scenarios and is an important tool for developers and AI researchers. It is expected that more detailed model information and usage guides will be released in the future to enhance its functionality and application breadth.

AI natural language processing
💻 programming
DMind

DMind

DMind-1 and DMind-1-mini are domain-specific large-scale language models for Web3 tasks, providing higher domain accuracy, instruction following capabilities, and professional understanding than other general-purpose models. Fine-tuned with expert-curated Web3 data and aligned with human feedback through reinforcement learning, DMind-1 is suitable for complex instructions and multi-turn conversations, and is suitable for areas such as blockchain, DeFi and smart contracts. DMind-1-mini, as a lighter version, is designed to meet real-time and resource-efficient application scenarios, and is especially suitable for agent deployment and on-chain tools. Product pricing and specific information require further confirmation.

Artificial Intelligence Open source
💻 programming
ZeroSearch

ZeroSearch

ZeroSearch is a novel reinforcement learning framework designed to motivate the search capabilities of large language models (LLMs) without interacting with actual search engines. Through supervised fine-tuning, ZeroSearch transforms LLM into a retrieval module capable of generating relevant and irrelevant documents, and introduces a course rollout mechanism to gradually stimulate the model's reasoning capabilities. The main advantage of this technology is that it outperforms models based on real search engines while incurring zero API cost. It is suitable for LLMs of all sizes and supports different reinforcement learning algorithms, making it suitable for research and development teams that require efficient retrieval capabilities.

Large language model reinforcement learning
💻 programming
DeepSeek-Prover-V2-671B

DeepSeek-Prover-V2-671B

DeepSeek-Prover-V2-671B is an advanced artificial intelligence model designed to provide powerful inference capabilities. It is based on the latest technology and suitable for a variety of application scenarios. This model is open source and aims to promote the democratization and popularization of artificial intelligence technology, lower technical barriers, and enable more developers and researchers to use AI technology to innovate. By using this model, users can improve their work efficiency and promote the progress of various projects.

Artificial Intelligence Open source
💻 programming
Xiaomi MiMo

Xiaomi MiMo

Xiaomi MiMo is the first large-scale reasoning model open sourced by Xiaomi. It is specially designed for reasoning tasks and has excellent mathematical reasoning and code generation capabilities. The model performed well on the public evaluation sets of mathematical reasoning (AIME 24-25) and code competition (LiveCodeBench v5), surpassing larger-scale models such as OpenAI's o1-mini and Alibaba Qwen's QwQ-32B-Preview with only 7B parameter scale. MiMo significantly improves reasoning capabilities through multi-level innovations in the pre-training and post-training stages, including data mining, training strategies, and reinforcement learning algorithms. The open source of this model provides researchers and developers with powerful tools and promotes the further development of artificial intelligence in the field of reasoning.

"推理模型、人工智能、开源、数学推理、代码生成、强化学习"
💻 programming
Arkain

Arkain

Arkain is a CDE service designed to maximize developer and team productivity. It provides powerful collaboration capabilities to develop and deploy services anytime, anywhere.

AI coding Collaborative development
💻 programming
Qwen3

Qwen3

Qwen3 is the latest large-scale language model launched by the Tongyi Qianwen team, aiming to provide users with efficient and flexible solutions through powerful thinking and rapid response capabilities. The model supports multiple thinking modes, can flexibly adjust the depth of reasoning according to task requirements, and supports 119 languages ​​and dialects, making it suitable for international applications. The release and open source of Qwen3 will greatly promote the research and development of large-scale basic models and help researchers, developers and organizations around the world use cutting-edge models to build innovative solutions.

"大型语言模型、多语言支持、思考模式、非思考模式、预训练、后训练、开源模型、AI研究、编程辅助、多模态"
💻 programming
XcodeBuildMCP

XcodeBuildMCP

XcodeBuildMCP is a server that implements the Model Context Protocol (MCP), designed for programmatic interaction with Xcode projects through a standardized interface. The tool eliminates reliance on manual operations and potentially erroneous command line calls, providing developers and AI assistants with an efficient and reliable workflow. It streamlines the development process by allowing AI agents to automatically verify code changes, build projects, and check for errors.

automation development tools
💻 programming
GPT-4.1

GPT-4.1

GPT-4.1 is a family of new models that provide significant performance improvements, particularly in encoding, instruction following, and processing long text contexts. Its context window expands to 1 million tokens and performs well in real-world applications, making it suitable for developers to create more efficient applications. This model is relatively low-priced and offers fast response times, making it more efficient when developing and executing complex tasks.

automation programming
💻 programming
GLM-4-32B

GLM-4-32B

GLM-4-32B is a high-performance generative language model designed to handle a variety of natural language tasks. It is trained using deep learning technology to generate coherent text and answer complex questions. This model is suitable for academic research, commercial applications and developers. It is reasonably priced and accurately positioned. It is a leading product in the field of natural language processing.

Artificial Intelligence natural language processing
💻 programming
Skywork-OR1

Skywork-OR1

Skywork-OR1 is a high-performance mathematical code reasoning model developed by the Kunlun Wanwei Tiangong team. This model series achieves industry-leading reasoning performance under the same parameter scale, breaking through the bottleneck of large models in logical understanding and complex task solving. The Skywork-OR1 series includes three models: Skywork-OR1-Math-7B, Skywork-OR1-7B-Preview and Skywork-OR1-32B-Preview, which focus on mathematical reasoning, general reasoning and high-performance reasoning tasks respectively. This open source not only covers model weights, but also fully opens the training data set and complete training code. All resources have been uploaded to GitHub and Huggingface platforms, providing a fully reproducible practical reference for the AI ​​community. This comprehensive open source strategy helps promote the common progress of the entire AI community in reasoning ability research.

AI Open source
💻 programming
Dream 7B

Dream 7B

Dream 7B is the latest diffusion large language model jointly launched by the NLP Group of the University of Hong Kong and Huawei's Noah's Ark Laboratory. It has demonstrated excellent performance in the field of text generation, especially in areas such as complex reasoning, long-term planning, and contextual coherence. This model adopts advanced training methods, has strong planning capabilities and flexible reasoning capabilities, and provides more powerful support for various AI applications.

AI machine learning
💻 programming