Business Software for Hugging Face

DeepSeek-V3.2-Speciale is the most advanced reasoning-focused version of the DeepSeek-V3.2 family, designed to excel in mathematical, algorithmic, and logic-intensive tasks. It incorporates DeepSeek Sparse Attention (DSA), an efficient attention mechanism tailored for very long contexts, enabling scalable reasoning with minimal compute costs. The model undergoes a robust reinforcement learning pipeline that scales post-training compute to frontier levels, enabling performance that exceeds GPT-5 on internal evaluations. Its achievements include gold-medal-level solutions in IMO 2025, IOI 2025, ICPC World Finals, and CMO 2025, with final submissions publicly released for verification. Unlike the standard V3.2 model, the Speciale variant removes tool-calling capabilities to maximize focused reasoning output without external interactions. DeepSeek-V3.2-Speciale uses a revised chat template with explicit thinking blocks and system-level reasoning formatting. The repository includes encoding tools showing how to convert OpenAI-style chat messages into DeepSeek’s specialized input format. With its MIT license and 685B-parameter architecture, DeepSeek-V3.2-Speciale offers cutting-edge performance for academic research, competitive programming, and enterprise-level reasoning applications.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

Introducing the ultimate data annotation tool that offers unparalleled flexibility and ease of installation. Users can create customized user interfaces or opt for ready-made labeling templates tailored to their specific needs. The adaptable layouts and templates seamlessly integrate with your dataset and workflow requirements. It supports various object detection methods in images, including boxes, polygons, circles, and key points, and allows for the segmentation of images into numerous parts. Additionally, machine learning models can be utilized to pre-label data and enhance efficiency throughout the annotation process. Features such as webhooks, a Python SDK, and an API enable users to authenticate, initiate projects, import tasks, and manage model predictions effortlessly. Save valuable time by leveraging predictions to streamline your labeling tasks, thanks to the integration with ML backends. Furthermore, users can connect to cloud object storage solutions like S3 and GCP to label data directly in the cloud. The Data Manager equips you with advanced filtering options to effectively prepare and oversee your dataset. This platform accommodates multiple projects, diverse use cases, and various data types, all in one convenient space. By simply typing in the configuration, you can instantly preview the labeling interface. Live serialization updates at the bottom of the page provide a real-time view of what Label Studio anticipates as input, ensuring a smooth user experience. This tool not only improves annotation accuracy but also fosters collaboration among teams working on similar projects.

Elevate your web security testing experience with BurpGPT, a Burp Suite extension that seamlessly incorporates OpenAI's advanced models for in-depth vulnerability assessments and traffic analysis. This tool also accommodates local LLMs, including custom-trained versions, thereby prioritizing data privacy and delivering results tailored to your specific requirements. Integrating Burp GPT into your security testing processes is straightforward, thanks to its comprehensive and user-friendly documentation. Crafted by specialists in application security, Burp GPT stands at the forefront of web security innovations. It evolves continuously by incorporating user feedback, ensuring it adapts to the shifting landscape of security testing demands. With Burp GPT, you benefit from a powerful solution designed to enhance both the accuracy and efficiency of application security evaluations. Its advanced language processing features, coupled with an easy-to-navigate interface, make it accessible for both novices and experienced testers. Moreover, BurpGPT enables you to tackle complex technical challenges with confidence and precision. As such, it represents a significant advancement in the toolkit of any security professional.

We offer a comprehensive AI-driven IT workforce solution that is fully automated, scalable, and ready for payment integration. Our goal is to make it easier for U.S. businesses to tap into nearshore talent without incurring hefty vendor fees or facing security challenges. With our platform, you can forecast talent expenses and assess the availability of qualified professionals throughout the LATAM region, aligning with your business objectives. You will have immediate access to a highly skilled senior recruitment team that possesses a deep understanding of both the talent landscape and your technological requirements. Our specialized engineering managers evaluate and rank technical skills through video-recorded tests, ensuring optimal candidate alignment. Additionally, we streamline your onboarding experience for various roles across multiple countries in LATAM. We take care of procuring and setting up dedicated devices, guaranteeing that all personnel are equipped with the necessary tools and resources from their first day, allowing them to start working effectively right away. Furthermore, we enable you to quickly identify high performers and those eager to enhance their skill sets. By leveraging our services, you can transform your workforce strategy and drive innovation in your organization.

Eliminate uncertainty in prompt engineering through recommended modifications, prompt rephrasing, and the automatic creation of test scenarios. We conduct numerous evaluations of your prompts and associated data to uncover weaknesses and implement enhancements. Pinpoint prompt-related problems and opportunities for improvement with ease. Let AI take the reins in reworking prompts to address any deficiencies. Stop spending valuable time crafting test cases for your prompts; we produce high-quality examples that will evaluate your prompts and assist in refining them. Discover various strategies for enhancing your prompts and allow AI to automatically revise them for better performance. Generate a wide range of test cases to confirm any adjustments and facilitate continuous improvement. Leverage your refined prompts across different models and platforms for optimal results, ensuring a seamless experience in various applications. By streamlining this process, you can focus more on creativity and innovation in your work.

ONTEC AI delivers a secure and dynamic AI ecosystem built for enterprises tackling large, complex, and sensitive data challenges. Our solutions combine a powerful AI platform, custom AI developments, expert consulting, and advanced data engineering to transform how businesses operate. With ONTEC AI, organizations can automate intricate workflows, elevate knowledge management, and achieve razor-sharp enterprise search – all while ensuring GDPR compliance and maintaining full data sovereignty. Purpose-built for industries where precision and security are non-negotiable – including banking, finance, insurance, publishing, media, and production – ONTEC AI redefines adaptability and control. Key features such as enterprise search, automated workflows, private GPT, and seamless integration with tools like Confluence and fileshares empower businesses to streamline operations and unlock their data’s full potential. ONTEC AI’s model-agnostic architecture eliminates vendor lock-in, offering the freedom to integrate multiple LLMs and adapt to evolving needs. With industry-leading accuracy, source traceability, and advanced hallucination suppression, ONTEC AI doesn’t just process data – it delivers actionable, trustworthy insights that drive innovation and give enterprises a competitive edge.

Featherless is a provider of AI models, granting subscribers access to an ever-growing collection of Hugging Face models. With the influx of hundreds of new models each day, specialized tools are essential to navigate this expanding landscape. Regardless of your specific application, Featherless enables you to discover and utilize top-notch AI models. Currently, we offer support for LLaMA-3-based models, such as LLaMA-3 and QWEN-2, though it's important to note that QWEN-2 models are limited to a context length of 16,000. We are also planning to broaden our list of supported architectures in the near future. Our commitment to progress ensures that we continually integrate new models as they are released on Hugging Face, and we aspire to automate this onboarding process to cover all publicly accessible models with suitable architecture. To promote equitable usage of individual accounts, concurrent requests are restricted based on the selected plan. Users can expect output delivery rates ranging from 10 to 40 tokens per second, influenced by the specific model and the size of the prompt, ensuring a tailored experience for every subscriber. As we expand, we remain dedicated to enhancing our platform's capabilities and offerings.

CometLLM serves as a comprehensive platform for recording and visualizing your LLM prompts and chains. By utilizing CometLLM, you can discover effective prompting techniques, enhance your troubleshooting processes, and maintain consistent workflows. It allows you to log not only your prompts and responses but also includes details such as prompt templates, variables, timestamps, duration, and any necessary metadata. The user interface provides the capability to visualize both your prompts and their corresponding responses seamlessly. You can log chain executions with the desired level of detail, and similarly, visualize these executions through the interface. Moreover, when you work with OpenAI chat models, the tool automatically tracks your prompts for you. It also enables you to monitor and analyze user feedback effectively. The UI offers the feature to compare your prompts and chain executions through a diff view. Comet LLM Projects are specifically designed to aid in conducting insightful analyses of your logged prompt engineering processes. Each column in the project corresponds to a specific metadata attribute that has been recorded, meaning the default headers displayed can differ based on the particular project you are working on. Thus, CometLLM not only simplifies prompt management but also enhances your overall analytical capabilities.

Experience the power of localized and secure AI right on your desktop, providing you with in-depth insights while maintaining complete data security and privacy. Our innovative macOS-native application combines efficiency, privacy, and intelligence through its state-of-the-art AI functionalities. The RAG system is capable of tapping into data from a local knowledge base to enhance the capabilities of the large language model (LLM), allowing you to keep sensitive information on-site while improving the quality of responses generated by the model. To set up RAG locally, you begin by breaking down documents into smaller segments, encoding these segments into vectors, and storing them in a vector database for future use. This vectorized information will play a crucial role during retrieval operations. When a user submits a query, the system fetches the most pertinent segments from the local knowledge base, combining them with the original query to formulate an accurate response using the LLM. Additionally, we are pleased to offer individual users lifetime free access to our application. By prioritizing user privacy and data security, our solution stands out in a crowded market.

Utilize our automated insights and customizable metrics to assess, enhance, and perpetually refine your GenAI models. Future AGI streamlines the evaluation of AI model outputs by automatically scoring them, which removes the necessity for manual quality assurance assessments. As a result, your QA team can redirect their efforts toward more strategic initiatives, potentially boosting their efficiency and capacity by as much as tenfold. This ensures that your AI-driven customer interactions remain consistently positive and aligned with your brand identity. By optimizing your models, you can highlight the most pertinent and engaging content tailored to each user. Additionally, you can fine-tune your models to produce the most precise summaries for your audience. Future AGI empowers you to establish bespoke metrics that assess your AI model's accuracy according to the specific priorities of your use case. You can articulate your essential metrics in natural language, providing your QA team with greater adaptability and authority to evaluate model performance. This approach guarantees that your assessments are in harmony with your business goals, transcending conventional metrics such as relevance while promoting a more comprehensive evaluation framework. Embracing this method not only enhances model performance but also fosters a culture of continuous improvement within your organization.

Leverage your data, regardless of its location, with an open and hybrid data lakehouse designed specifically for AI and analytics. Seamlessly integrate data from various sources and formats, all accessible through a unified entry point featuring a shared metadata layer. Enhance both cost efficiency and performance by aligning specific workloads with the most suitable query engines. Accelerate the discovery of generative AI insights with integrated natural-language semantic search, eliminating the need for SQL queries. Ensure that your AI applications are built on trusted data to enhance their relevance and accuracy. Maximize the potential of all your data, wherever it exists. Combining the rapidity of a data warehouse with the adaptability of a data lake, watsonx.data is engineered to facilitate the expansion of AI and analytics capabilities throughout your organization. Select the most appropriate engines tailored to your workloads to optimize your strategy. Enjoy the flexibility to manage expenses, performance, and features with access to an array of open engines, such as Presto, Presto C++, Spark Milvus, and many others, ensuring that your tools align perfectly with your data needs. This comprehensive approach allows for innovative solutions that can drive your business forward.

Enhance your product's functionality with an advanced corporate data platform. We catalog all business locations and their subsidiaries, extract information from essential web pages, and have created the largest company LLM embedding database available today. Our accuracy is continuously validated by prospects, who report a remarkable 98.5% success rate and 98% coverage. Utilize our data through our sophisticated natural language search and segmentation tools. The company directory serves as a critical component for numerous products, and ours starts with SSL certificates, ensuring unparalleled accuracy and extensive coverage without any outdated, inactive, or parked domains. We prioritize translating non-English websites first, which enables us to offer truly global insights. In addition, the same certificates grant us unique data points, including precise company inception dates, business scale, and growth trends encompassing both private and international entities. The transition towards high-quality and more pertinent business website content is significantly influenced by AI's capacity to process vast datasets and grasp contextual meaning, making it an essential tool in today's data-driven landscape. This evolution not only improves the reliability of the information but also empowers businesses to make more informed decisions based on comprehensive analyses.

DataChain serves as a bridge between unstructured data found in cloud storage and AI models alongside APIs, facilitating immediate data insights by utilizing foundational models and API interactions to swiftly analyze unstructured files stored in various locations. Its Python-centric framework significantly enhances development speed, enabling a tenfold increase in productivity by eliminating SQL data silos and facilitating seamless data manipulation in Python. Furthermore, DataChain prioritizes dataset versioning, ensuring traceability and complete reproducibility for every dataset, which fosters effective collaboration among team members while maintaining data integrity. The platform empowers users to conduct analyses right where their data resides, keeping raw data intact in storage solutions like S3, GCP, Azure, or local environments, while metadata can be stored in less efficient data warehouses. DataChain provides versatile tools and integrations that are agnostic to cloud environments for both data storage and computation. Additionally, users can efficiently query their unstructured multi-modal data, implement smart AI filters to refine datasets for training, and capture snapshots of their unstructured data along with the code used for data selection and any associated metadata. This capability enhances user control over data management, making it an invaluable asset for data-intensive projects.

DagsHub serves as a collaborative platform tailored for data scientists and machine learning practitioners to effectively oversee and optimize their projects. By merging code, datasets, experiments, and models within a cohesive workspace, it promotes enhanced project management and teamwork among users. Its standout features comprise dataset oversight, experiment tracking, a model registry, and the lineage of both data and models, all offered through an intuitive user interface. Furthermore, DagsHub allows for smooth integration with widely-used MLOps tools, which enables users to incorporate their established workflows seamlessly. By acting as a centralized repository for all project elements, DagsHub fosters greater transparency, reproducibility, and efficiency throughout the machine learning development lifecycle. This platform is particularly beneficial for AI and ML developers who need to manage and collaborate on various aspects of their projects, including data, models, and experiments, alongside their coding efforts. Notably, DagsHub is specifically designed to handle unstructured data types, such as text, images, audio, medical imaging, and binary files, making it a versatile tool for diverse applications. In summary, DagsHub is an all-encompassing solution that not only simplifies the management of projects but also enhances collaboration among team members working across different domains.

Transitioning from development to production, as well as from traditional data engineering to artificial intelligence, requires securing the various environments, pipelines, tools, and open-source components integral to your data and AI supply chain. It is essential to continuously identify, prevent, and rectify security and compliance vulnerabilities in AI before they reach production. In addition, monitoring AI applications in real-time allows for the detection and mitigation of adversarial AI attacks while enforcing specific application guardrails. Noma integrates smoothly across your data and AI supply chain and applications, providing a detailed map of all data pipelines, notebooks, MLOps tools, open-source AI elements, and both first- and third-party models along with datasets, thereby automatically generating a thorough AI/ML bill of materials (BOM). Additionally, Noma constantly identifies and offers actionable solutions for security issues, including misconfigurations, AI-related vulnerabilities, and non-compliant training data usage throughout your data and AI supply chain. This proactive approach enables organizations to enhance their AI security posture effectively, ensuring that potential threats are addressed before they can impact production. Ultimately, adopting such measures not only fortifies security but also boosts overall confidence in AI systems.

Save countless hours in development and concentrate on delivering what truly matters to your customers. With everything you need to kickstart your SaaS, including authentication, payments, internationalization, email services, and more, Supastarter equips you with essential tools and features for building your application. You can launch your project quickly and begin generating revenue in no time. Supastarter offers comprehensive support for various authentication methods, allowing you complete control over user data and the ability to tailor the authentication process to your needs. It also integrates seamlessly with payment providers such as Lemon Squeezy, Stripe, and Chargebee, giving you the flexibility to switch between them or include your own. To ensure your app is user-friendly for a global audience, it comes with built-in internationalization support. With multiple email provider integrations and pre-designed email templates, you can effortlessly communicate with your customers. Moreover, your SaaS application is extensively customizable, enabling you to adjust its appearance to align with your brand identity. Additionally, it is fully compatible with shadcnUI, enhancing your design options even further. By utilizing Supastarter, you can streamline your development process and focus on delivering an exceptional product to your users.

HunyuanVideo is a cutting-edge video generation model powered by AI, created by Tencent, that expertly merges virtual and real components, unlocking endless creative opportunities. This innovative tool produces videos of cinematic quality, showcasing smooth movements and accurate expressions while transitioning effortlessly between lifelike and virtual aesthetics. By surpassing the limitations of brief dynamic visuals, it offers complete, fluid actions alongside comprehensive semantic content. As a result, this technology is exceptionally suited for use in various sectors, including advertising, film production, and other commercial ventures, where high-quality video content is essential. Its versatility also opens doors for new storytelling methods and enhances viewer engagement.

Qwen2.5-1M, an open-source language model from the Qwen team, has been meticulously crafted to manage context lengths reaching as high as one million tokens. This version introduces two distinct model variants, namely Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, representing a significant advancement as it is the first instance of Qwen models being enhanced to accommodate such large context lengths. In addition to this, the team has released an inference framework that is based on vLLM and incorporates sparse attention mechanisms, which greatly enhance the processing speed for 1M-token inputs, achieving improvements between three to seven times. A detailed technical report accompanies this release, providing in-depth insights into the design choices and the results from various ablation studies. This transparency allows users to fully understand the capabilities and underlying technology of the models.

Baz provides a comprehensive solution for efficiently reviewing, tracking, and approving code changes, instilling confidence in developers. By enhancing the code review and merging workflow, Baz offers immediate insights and suggestions that allow teams to concentrate on delivering high-quality software. Organizing pull requests into distinct Topics enables a streamlined review process with a well-defined structure. Furthermore, Baz identifies breaking changes across various elements such as APIs, endpoints, and parameters, ensuring a thorough understanding of how all components interconnect. Developers have the flexibility to review, comment, and propose changes wherever necessary, with transparency maintained on both GitHub and Baz. To accurately gauge the implications of a code change, structured impact analysis is essential. By leveraging AI alongside your development tools, Baz analyzes the codebase, maps out dependencies, and delivers actionable reviews that safeguard the stability of your code. You can easily plan your proposed changes and invite team members for their input while assigning relevant reviewers based on their prior contributions to the project. This collaborative approach fosters a more engaged and informed development environment, ultimately leading to better software outcomes.

Yi-Large is an innovative proprietary large language model created by 01.AI, featuring an impressive context length of 32k and a cost structure of $2 for each million tokens for both inputs and outputs. Renowned for its superior natural language processing abilities, common-sense reasoning, and support for multiple languages, it competes effectively with top models such as GPT-4 and Claude3 across various evaluations. This model is particularly adept at handling tasks that involve intricate inference, accurate prediction, and comprehensive language comprehension, making it ideal for applications such as knowledge retrieval, data categorization, and the development of conversational chatbots that mimic human interaction. Built on a decoder-only transformer architecture, Yi-Large incorporates advanced features like pre-normalization and Group Query Attention, and it has been trained on an extensive, high-quality multilingual dataset to enhance its performance. The model's flexibility and economical pricing position it as a formidable player in the artificial intelligence landscape, especially for businesses looking to implement AI technologies on a global scale. Additionally, its ability to adapt to a wide range of use cases underscores its potential to revolutionize how organizations leverage language models for various needs.

Nurix AI, located in Bengaluru, focuses on creating customized AI agents that aim to streamline and improve enterprise workflows across a range of industries, such as sales and customer support. Their platform is designed to integrate effortlessly with current enterprise systems, allowing AI agents to perform sophisticated tasks independently, deliver immediate responses, and make smart decisions without ongoing human intervention. One of the most remarkable aspects of their offering is a unique voice-to-voice model, which facilitates fast and natural conversations in various languages, thus enhancing customer engagement. Furthermore, Nurix AI provides specialized AI services for startups, delivering comprehensive solutions to develop and expand AI products while minimizing the need for large internal teams. Their wide-ranging expertise includes large language models, cloud integration, inference, and model training, guaranteeing that clients receive dependable and enterprise-ready AI solutions tailored to their specific needs. By committing to innovation and quality, Nurix AI positions itself as a key player in the AI landscape, supporting businesses in leveraging technology for greater efficiency and success.

Synexa AI allows users to implement AI models effortlessly with just a single line of code, providing a straightforward, efficient, and reliable solution. It includes a range of features such as generating images and videos, restoring images, captioning them, fine-tuning models, and generating speech. Users can access more than 100 AI models ready for production, like FLUX Pro, Ideogram v2, and Hunyuan Video, with fresh models being added weekly and requiring no setup. The platform's optimized inference engine enhances performance on diffusion models by up to four times, enabling FLUX and other widely-used models to generate outputs in less than a second. Developers can quickly incorporate AI functionalities within minutes through user-friendly SDKs and detailed API documentation, compatible with Python, JavaScript, and REST API. Additionally, Synexa provides high-performance GPU infrastructure featuring A100s and H100s distributed across three continents, guaranteeing latency under 100ms through smart routing and ensuring a 99.9% uptime. This robust infrastructure allows businesses of all sizes to leverage powerful AI solutions without the burden of extensive technical overhead.

Gemma 3, launched by Google, represents a cutting-edge AI model constructed upon the Gemini 2.0 framework, aimed at delivering superior efficiency and adaptability. This innovative model can operate seamlessly on a single GPU or TPU, which opens up opportunities for a diverse group of developers and researchers. Focusing on enhancing natural language comprehension, generation, and other AI-related functions, Gemma 3 is designed to elevate the capabilities of AI systems. With its scalable and robust features, Gemma 3 aspires to propel the evolution of AI applications in numerous sectors and scenarios, potentially transforming the landscape of technology as we know it.

Neuron AI is a chat and productivity application designed specifically for Apple Silicon, providing efficient on-device processing to enhance both speed and user privacy. This innovative tool enables users to participate in AI-driven conversations and summarize audio files without needing an internet connection, thus keeping all data securely on the device. With the capability to support unlimited AI chats, users can choose from over 45 advanced AI models from various providers including OpenAI, DeepSeek, Meta, Mistral, and Huggingface. The platform allows for customization of system prompts and transcript management while also offering a personalized interface that includes options like dark mode, different accent colors, font choices, and haptic feedback. Neuron AI seamlessly works across iPhone, iPad, Mac, and Vision Pro devices, integrating smoothly into a variety of workflows. Additionally, it includes integration with the Shortcuts app to facilitate extensive automation and provides users with the ability to easily share messages, summaries, or audio recordings through email, text, AirDrop, notes, or other third-party applications. This comprehensive set of features makes Neuron AI a versatile tool for both personal and professional use.