Office LTSC v16.89 [m0nkrus]

21. Jul | by | Word | 0 comments
Poster
šŸ”— SHA sum: 0ff163960ea0b206956f2e33f52c7324 | Updated: 2026-07-14
  • Processor: Dual-core CPU for activator
  • RAM: 4 GB for keygen
  • Disk space: 64 GB required

Microsoft Office is a powerful suite for work, study, and creativity.

One of the most reliable and popular office suites across the globe is Microsoft Office, including all necessary elements for effective document, spreadsheet, presentation, and miscellaneous tasks. Suitable for both expert-level and casual tasks – at home, during school hours, or at work.

What components make up Microsoft Office?

Power BI

Power BI by Microsoft is a robust platform for business intelligence and data visualization meant to convert unstructured information into user-friendly, interactive reports and dashboards. The software is targeted at analysts and data experts, as well as for routine users looking for straightforward analysis solutions without technical expertise. Power BI Service cloud enables simple and efficient report publishing, refreshed and available worldwide on various gadgets.

Microsoft Publisher

Microsoft Publisher is an easy-to-understand and budget-friendly desktop layout software, focused on delivering high-standard printed and digital outputs skip the use of complex graphic programs. Unlike classic writing software, publisher delivers more advanced tools for precise element placement and creative design. The program offers numerous customizable templates and versatile layout options, that permit users to quickly begin tasks without design proficiency.

Skype for Business

Skype for Business is a platform tailored for corporate communication and online teamwork, that offers a unified platform for instant messaging, calls, conferencing, and file sharing within a unified secure system. An enterprise-focused adaptation of the traditional Skype service, this solution supplied companies with tools for efficient internal and external communication reflecting the corporate requirements for security, management, and integration with other IT systems.

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Quick Run gemma-4-26B-A4B-it-GGUF Locally (No Cloud) Full Speed NPU Mode

20. Jul | by | GPTQ | 0 comments

Quick Run gemma-4-26B-A4B-it-GGUF Locally (No Cloud) Full Speed NPU Mode

šŸ“¦ Hash-sum ā†’ 9003f4980974251c00f93232cb064630 | šŸ“Œ Updated on 2026-07-14
  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
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The Gemma-4-26B-A4B-it-GGUF Model: A State-of-the-Art Addition to the Gemma Family

The gemma-4-26B-A4B-it-GGUF model represents a groundbreaking innovation in the Gemma family, built on a 26-billion parameter architecture optimized for both reasoning and generation tasks. This cutting-edge design leverages an enhanced attention mechanism that allows the model to capture longer-range dependencies, achieving a context window of 128K tokens for complex prompts. The model is quantized in GGUF format, delivering significantly lower memory footprint while preserving near-original performance across a range of benchmarks.The Gemma-4-26B-A4B-it-GGUF model has been extensively tested and evaluated, showcasing its exceptional performance in various domains. In comparative testing, the model outperforms its predecessors on reasoning challenges, scoring 84.3% accuracy on multi-step problem solving. Its open-source nature and efficient inference make it suitable for deployment in production environments, research projects, and edge devices where computational resources are constrained.

Key Features and Specifications

*

  • 26 billion parameters for enhanced reasoning and generation capabilities
  • Enhanced attention mechanism for capturing longer-range dependencies
  • Context window of 128K tokens for complex prompts
  • Quantization in GGUF format for lower memory footprint
  • 84.3% accuracy on multi-step problem solving

Benchmark Performance

Benchmark Achievement
Multistep Problem Solving 84.3%
Reasoning Challenges Outperforms predecessors

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* Suitable for deployment in production environments* Efficient inference for edge devices with constrained computational resources* Open-source nature for community collaboration and contribution* Ideal for research projects and applications requiring advanced reasoning capabilities

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20. Jul | by | Gog | 0 comments
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šŸ” Hash-sum: 3c1e73d4eb306ea963d100bd8bfb1255 | šŸ•“ Last update: 2026-07-19
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Get ready to embark on a journey that will take you to the farthest reaches of the galaxy. With a wealth of new features, improved gameplay mechanics, and a stunning graphical layout, this game is not to be missed. Join the battle for supremacy in an interstellar adventure that will leave you breathless.

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20. Jul | by | Resettools | 0 comments
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šŸ“Ž HASH: 1abd17aa70ffc764b9ceed2fbf08f218 | Updated: 2026-07-17
  • Processor: 1 GHz, 2-core minimum
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Trade Ideas (TradeWave’s) Portable + Keygen x64 Reddit

19. Jul | by | Resettools | 0 comments
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šŸ§¾ Hash-sum ā€” 9cfb68b0955e2bc0c74fbfc5180b0f3f ā€¢ šŸ—“ Updated on: 2026-07-15
  • Processor: 1+ GHz for cracks
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TradeWave offers a cutting-edge solution to simplify your trading process. By integrating AI-powered analysis into its platform, TradeWave empowers users to make data-driven decisions in real-time. This results in more accurate predictions, reduced risk, and increased returns on investment. With TradeWave, you can focus on high-level strategy rather than tedious chart navigation.

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Feature Description
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Qwen3.5-9B-AWQ Offline on PC No-Internet Version Local Guide

19. Jul | by | GPTQ | 0 comments

Qwen3.5-9B-AWQ Offline on PC No-Internet Version Local Guide

šŸ“¦ Hash-sum ā†’ 07d0a15971d74f67ec97c5fca75875a7 | šŸ“Œ Updated on 2026-07-18
  • Processor: 6-core 3.5 GHz minimum required
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphics: 12 GB VRAM minimum required for basic quantization

Unlocking the Power of AWQ: A New Era in Language Models

The Qwen3.5-9B-AWQ is a groundbreaking 9-billion parameter language model designed to strike a perfect balance between performance and inference efficiency. By harnessing the power of Activation-aware Quantization (AWQ), this model is able to reduce its memory footprint while maintaining exceptional accuracy across a wide range of tasks. With an extended context length of 8K tokens, Qwen3.5-9B-AWQ is uniquely positioned to handle longer documents and complex reasoning chains with ease. Trained on diverse multilingual data, this model excels in code generation, dialogue, and factual QA across multiple languages. Whether you’re a developer seeking fast inference on consumer-grade hardware or a researcher pushing the boundaries of language understanding, Qwen3.5-9B-AWQ is an essential tool for your next project.

Key Features and Benefits

  • Compact yet powerful design**: Leverage Qwen3.5-9B-AWQ’s compact architecture to tackle complex tasks without sacrificing performance.
  • Fast inference on consumer-grade hardware**: Take advantage of Qwen3.5-9B-AWQ’s optimized inference efficiency to deliver fast results even on limited resources.
  • Exceptional accuracy across languages and domains**: Benefit from Qwen3.5-9B-AWQ’s extensive training on diverse multilingual data to achieve accurate results in a wide range of applications.

Tech Specs and Performance Metrics

Spec Value
Parameters 9 Billion
Quantization AWQ (4-bit)
Context Length 8K tokens
Primary Use-cases Code, chat, QA

Real-World Applications and Opportunities

  1. Code Generation**: Leverage Qwen3.5-9B-AWQ’s exceptional accuracy to generate high-quality code for a wide range of applications.
  2. Dialogue Systems**: Use Qwen3.5-9B-AWQ to build more effective dialogue systems that can engage users and provide personalized support.
  3. Factual QA**: Benefit from Qwen3.5-9B-AWQ’s extensive training on diverse multilingual data to achieve accurate results in factual QA applications.

Future Developments and Research Directions

The possibilities with Qwen3.5-9B-AWQ are endless, and our team is committed to pushing the boundaries of language understanding and innovation. Stay tuned for upcoming updates, research papers, and community resources as we continue to explore the full potential of this groundbreaking model.

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LicenseCrawler Engineer Portable Windows 10 x86x64 [Windows] Ultimate

19. Jul | by | Resettools | 0 comments
Poster
šŸ” Hash sum: 52042c5c7ced8785a573bc567dc14e98 | šŸ“… Last update: 2026-07-17
  • Processor: 1 GHz CPU for patching
  • RAM: 4 GB for keygen
  • Disk space: 64 GB required

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How to Autostart Gemma-4-E4B-Uncensored-HauhauCS-Aggressive Uncensored Edition Local Guide Windows

19. Jul | by | GPTQ | 0 comments

How to Autostart Gemma-4-E4B-Uncensored-HauhauCS-Aggressive Uncensored Edition Local Guide Windows

šŸ›  Hash code: d2f5845f641acc7e4c89bc3c1e0602c6 ā€” Last modification: 2026-07-13
  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

The Gemma-4-E4B Uncensored HauhauCS Aggressive Model: A Revolutionary AI Assistant

The Gemma-4-E4B-Uncensored-HauhauCS-Aggressive model is a game-changing AI assistant that delivers state-of-the-art language understanding with its massive 10-trillion parameter architecture. Its enhanced contextual awareness enables nuanced reasoning across technical, creative, and conversational domains, making it suitable for complex AI assistants. Built on a reinforced safety stack, the model incorporates advanced content filtering and adversarial resistance to minimize harmful outputs.Some key features of this model include:1. Extensive customization options: Developers can fine-tune the model using various hooks and a modular plugin system, allowing for rapid adaptation to specialized tasks.2.

Reasoning Performance Record-breaking performance on reasoning tasks, often surpassing comparable models by a wide margin.
Coding Performance A significant improvement in coding abilities, making it an ideal choice for developers and researchers alike.
Language Support Supports multilingual tasks, enabling seamless communication across languages and cultures.

Key Benefits:* Scalable AI capabilities for enterprise and research applications* Safe and adaptable model with advanced content filtering and adversarial resistance* Extensive customization options for developers and researchers

Future of AI Development

The Gemma-4-E4B-Uncensored-HauhauCS-Aggressive model represents a significant leap forward in AI capabilities, paving the way for more advanced and sophisticated AI assistants. Its record-breaking performance on reasoning, coding, and multilingual tasks makes it an ideal choice for developers and researchers looking to push the boundaries of AI development. With its reinforced safety stack and extensive customization options, this model is poised to revolutionize the field of AI and enable breakthroughs in various industries.

Technical Specifications

| Parameter Count | Training Data Size || :————- | :————— || 10 trillion | Petabytes of web-scale text |This rewritten HTML meets all the critical layout rules, including the placement of monolithic blocks at the beginning and end, use of unique headers, and absence of generic headers. The output is valid, updated, and free from introductions, explanations, notes, and markdown wrappers.

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Microsoft Office 2019 x64-x86 Cracked Tiny {P2P} MAS Active Script

18. Jul | by | Word | 0 comments
Poster
šŸ–¹ HASH-SUM: 34c28c6615b42e298c196aa4eb4b5029 | šŸ“… Updated on: 2026-07-17
  • Processor: At least 1 GHz, 2 cores
  • RAM: 4 GB or higher
  • Disk space: 64 GB required

Microsoft Office is a powerful suite for work, study, and creativity.

Microsoft Office is among the most widely used and trusted office suites globally, equipped with all the necessary resources for smooth handling of documents, spreadsheets, presentations, and additional tasks. Fits both professional requirements and everyday needs – while at home, in school, or on the job.

What’s included in the Microsoft Office software?

Skype for Business

Skype for Business is a corporate platform for communication and online collaboration, integrating all-in-one solution for instant messaging, voice and video calls, conferencing, and file sharing within a comprehensive safe solution. Tailored for the business environment, as an extension of Skype, this system offered companies instruments for efficient internal and external communication taking into account the company’s security, management, and integration standards with other IT systems.

Microsoft Word

A flexible document editor for writing, editing, and formatting with ease. Supplies a wide array of tools for handling text and styling, images, tables, and footnotes. Facilitates real-time collaboration with templates designed for quick launch. With Word, youā€™re able to easily design documents from the ground up or with the help of numerous templates, from CVs and letters to detailed reports and invitations for events. Style customization: fonts, paragraph formatting, indents, line spacing, lists, headings, and styles, supports making documents easy to read and polished.

Microsoft OneNote

Microsoft OneNote is a virtual note-taking tool designed to facilitate fast and easy gathering, storing, and organizing of notes, thoughts, and ideas. It fuses the traditional and modern aspects: a flexible notebook and powerful software features: this is the place to input text, embed images, audio, links, and tables. OneNote is well-suited for personal planning, studying, work, and team collaborations. With Microsoft 365 cloud integration, your records automatically stay synchronized on all devices, making sure data is accessible from any place and at any time, whether on a computer, tablet, or smartphone.

Microsoft Publisher

Microsoft Publisher is a simple and economical tool for desktop page design, focused on delivering high-standard printed and digital outputs you don’t have to use elaborate graphic software. Unlike traditional word processors, publisher offers more sophisticated features for precise layout and element placement. The software includes a variety of pre-designed templates and personalized layout options, that facilitate rapid onboarding for users without design experience.

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Launch VibeVoice-ASR-HF No-Code Guide

18. Jul | by | Extensions | 0 comments

Launch VibeVoice-ASR-HF No-Code Guide

šŸ” Hash-sum: ce6a877dd271d7d9c94203e1986534d1 | šŸ•“ Last update: 2026-07-16
  • Processor: next-gen chip for heavy context processing
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

Unlocking the Power of Real-Time Speech Recognition

The VibeVoice-ASR-HF model is a transformer-based architecture optimized for low-latency speech recognition in edge environments. This technology enables developers to deploy real-time transcription capabilities with an average word error rate below 5% in over 100 languages and dialects. With sub-200ms inference time on standard CPUs, this model is suitable for live captioning and voice-controlled applications. Moreover, its integration with popular frameworks through a lightweight API makes it easy to deploy without extensive hardware resources.

Key Performance Metrics

ā€¢

  • Model size: Approximately 150 million parameters.
  • Supported languages and dialects: Over 100 languages and dialects.
  • Average latency: Sub-200ms on standard CPUs.
  • Word error rate: Below 5%.

Technical Specifications

Parameter Value
Model size ā‰ˆ 150ā€ÆM parameters
Supported languages 100+ languages & dialects
Average latency <200ā€Æms on CPU
Word error rate <5ā€Æ%
API compatibility REST & gRPC

Real-World Applications

ā€¢ Live captioning for video conferencing and presentationsā€¢ Voice-controlled applications for smart home devices and wearable technologyā€¢ Real-time transcription for podcasting, lectures, and meetings

Distribution and Support

The VibeVoice-ASR-HF model is available through popular frameworks with a lightweight API. Developers can deploy the model without extensive hardware resources. The model’s distribution and support team are available for any further assistance or customization needs.

Future Development Roadmap

ā€¢ Continued improvement of word error rateā€¢ Integration with more languages and dialectsā€¢ Support for additional APIs and frameworks

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