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Free Download LLM Fine-Tuning GRPO, SFT, DPO, with Reinforcement Learning Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 40m | Size: 1.85 GB LLM Hands-On Fine-Tuning and Reinforcement Learning with SFT, LoRA, DPO, and GRPO What you'll learn You will grasp the core principles of Large Language Models (LLMs) and the overall structure behind their training processes. You will learn the differences between base models and instruct models, as well as the methods for preparing data for each. You'll learn data preprocessing techniques along with essential tips, how to identify special tokens required by models, understanding data formats, and methods You'll gain practical, hands-on experience and detailed knowledge of how LoRA and Data Collator work. You'll gain a detailed understanding of crucial hyperparameters used in training, including their purpose and how they function. You'll practically learn, in detail, how trained LoRA matrices are merged with the base model, as well as key considerations and best practices to follow during You'll learn what Direct Preference Optimization (DPO) is, how it works, the expected data format, and the specific scenarios in which it's used. You'll learn key considerations when preparing data for DPO, as well as understanding how the DPO data collator functions. You'll learn about the specific hyperparameters used in DPO training, their roles, and how they function. You'll learn how to upload your trained model to platforms like Hugging Face and manage hyperparameters effectively after training. You'll learn in detail how Group Relative Policy Optimization (GRPO), a reinforcement learning method, works, including an in-depth understanding of its learnin You'll learn how to prepare data specifically for Group Relative Policy Optimization (GRPO). You'll learn how to create reward functions-the most critical aspect of Group Relative Policy Optimization (GRPO)-through various practical reward function exam In what format should data be provided to GRPO reward functions, and how can we process this data within the functions? You'll learn these details thoroughly. You'll learn how to define rewards within functions and establish clear reward templates for GRPO. You'll practically learn numerous details, such as extracting reward-worthy parts from raw responses and defining rewards based on these extracted segments. You'll learn how to transform an Instruct model into one capable of generating "Chain of Thought" reasoning through GRPO (Group Relative Policy Optimization). Requirements Basic knowledge of Python programming. Introductory-level familiarity with artificial intelligence and machine learning concepts. Ideally, prior experience with Jupyter Notebook or Google Colab. Description In this course, you will step into the world of Large Language Models (LLMs) and learn both fundamental and advanced end-to-end optimization methods. You'll begin with the SFT (Supervised Fine-Tuning) approach, where you'll discover how to properly prepare your data and create customized datasets using tokenizers and data collators through practical examples. During the SFT process, you'll learn the key techniques for making large models lighter and more efficient with LoRA (Low-Rank Adaptation) and quantization, and explore step by step how to integrate them into your projects.After solidifying the basics of SFT, we will move on to DPO (Direct Preference Optimization). DPO allows you to obtain user-focused results by directly reflecting user feedback in the model. You'll learn how to format your data for this method, how to design a reward mechanism, and how to share models trained on popular platforms such as Hugging Face. Additionally, you'll gain a deeper understanding of how data collators work in DPO processes, learning practical techniques for preparing and transforming datasets in various scenarios.The most significant phase of the course is GRPO (Group Relative Policy Optimization), which has been gaining popularity for producing strong results. With GRPO, you will learn methods to optimize model behavior not only at the individual level but also within communities or across different user groups. This makes it more systematic and effective for large language models to serve diverse audiences or purposes. In this course, you'll learn the fundamental principles of GRPO, and then solidify your knowledge by applying this technique with real-world datasets.Throughout the training, we will cover key topics-LoRA, quantization, SFT, DPO, and especially GRPO-together, supporting each topic with project-oriented applications. By the end of this course, you will be fully equipped to manage every stage with confidence, from end-to-end data preparation to fine-tuning and group-based policy optimization. Developing modern and competitive LLM solutions that focus on both performance and user satisfaction in your own projects will become much easier. Who this course is for Who is this course for? Data scientists and ML engineers who want to specialize in Large Language Model (LLM) training techniques. Individuals who want to master essential tips and best practices for data preparation. AI developers aiming to build their own customized language models. Individuals who want hands-on experience with advanced techniques like Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Group Relative Policy Optimization (GRPO). Individuals who want practical, hands-on experience with the Group Relative Policy Optimization (GRPO) technique. Individuals who want to learn essential tips for data preparation and adapt their own custom datasets for language models. Those interested in reinforcement learning methods and optimizing models based on user feedback. 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Released: 02/2025 Free Download Duration: 54m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 143 MB Level: Advanced | Genre: eLearning | Language: English Unlock the power of retrieval-augmented generation (RAG) with this hands-on course on RAFT (retrieval-augmented fine-tuning). Learn to integrate fine-tuning with RAG to create domain-specific models that deliver accurate, contextually relevant responses. From understanding core concepts to implementing advanced techniques like RAFT and using tools like Azure AI Studio, this course equips you with the skills to enhance and deploy sophisticated RAG systems. Ideal for AI practitioners aiming to optimize model performance in specialized domains. Homepage: https://www.linkedin.com/learning/rag-fine-tuning-advanced-techniques-for-accuracy-and-model-performance Rapidgator https://rg.to/file/0406aad1e579ee2c55c3be9353c8f625/adsfc.RAG.FineTuning.Advanced.Techniques.for.Accuracy.and.Model.Performance.rar.html Fikper Free Download https://fikper.com/rYAK0LWfXN/adsfc.RAG.FineTuning.Advanced.Techniques.for.Accuracy.and.Model.Performance.rar.html : No Password - Links are Interchangeable

Free Download Fine-Tuning LLMs for Cybersecurity Mistral, Llama, AutoTrain, and AutoGen Released 10/2024 With Akhil Sharma MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 2h 52m 10s | Size: 488 MB Explore the intersection of cybersecurity and large language models (LLMs). Learn how to leverage LLMs for open-source intelligence (OSINT), vulnerability scanning, and more. Course details Explore the emergent field of cybersecurity enhanced by large language models (LLMs) in this detailed and interactive course. Instructor Akhil Sharma starts with the basics, including the world of open-source LLMs, their architecture and importance, and how they differ from closed-source models. Learn how to run and fine-tune models to tackle cybersecurity challenges more effectively. Gather insights for identifying new threats, generating synthetic data, performing open-source intelligence (OSINT), and scanning code vulnerabilities with hands-on examples and guided challenges. Perfect for cybersecurity professionals, IT specialists, and anyone keen on understanding how AI can bolster security protocols, this course prepares you to embrace the synergy of AI for cybersecurity, unlocking new potentials in threat detection, prevention, and response. Homepage https://www.linkedin.com/learning/fine-tuning-llms-for-cybersecurity-mistral-llama-autotrain-and-autogen Screenshot Rapidgator https://rg.to/file/c9c56d72a69a0367c9ce262c1daeb6c7/qtxpl.FineTuning.LLMs.for.Cybersecurity.Mistral.Llama.AutoTrain.and.AutoGen.rar.html Fikper Free Download https://fikper.com/p4UyExO90T/qtxpl.FineTuning.LLMs.for.Cybersecurity.Mistral.Llama.AutoTrain.and.AutoGen.rar.html No Password - Links are Interchangeable

Free Download Basic Guitar Tuning Workshop Published 10/2024 Created by Tyson Farmer MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 11 Lectures ( 1h 43m ) | Size: 1.4 GB How to tune almost any guitar using almost any type of tuner What you'll learn: Learn first step basics like parts and names of the guitar, names and numbering systems of the strings, and other basic guitar vocabulary Learn to identify different types of guitar tuners, what kind you have (or want), and what the letters and symbols on any tuner display mean Learn how to use almost any dedicated, phone app, or online tuner to get your guitar in tune Learn about other side topics like special symbols on a tuner's display, how to memorize your guitar strings, and how to shop for or download a guitar tuner Understand differences in tuning techniques between electric and acoustic guitars Learn how to tune your guitar with a tuner in a large variety of open, drop, detuned standard, and alternate tunings Requirements: No guitar playing or tuning knowledge or experience necessary - this course is for absolute beginners, and intermediate players who need to review the basics or fill in some gaps in their knowledge. You will learn everything you need to know to tune your guitar in this course! Description: Although there are many basic crash course videos on how to tune your guitar online, I feel there are not many videos on how to really understand tuning your guitar and how to do it on your own.This course will start from square one (no playing experience needed!) and build up your knowledge on how to use any guitar tuner to tune your guitar, whether it's a standalone tuner (no matter how old or new it is), a smartphone tuning app, or even a free guitar tuning webpage. It will thoroughly and simply explain the basic types of guitars and their parts, basic music and guitar vocabulary, the musical alphabet letter system, sharps and flats, the differences between chromatic, guitar only, multi-mode, vibrational, and microphonic tuners, how to identify any tuner by its display and controls, a step by step walk-through of tuning an out of tune guitar, how to deal with an extremely out of tune guitar and other "worst case" scenarios, and many more in-depth topics. It also includes some extra side topics, like how tuning an electric guitar is different than tuning an acoustic guitar, and a reference guide for how to tune in a variety of alternate, drop, open, and other non-standard tunings you may come across in your guitar journey, including tunings for non-standard guitars such as baritone, 7, 8, and 9 string guitars, and even bass guitar, ukulele, banjo and mandolin tunings. Disclaimer: this course teaches you how to tune your guitar with a variety of electronic tuners. However, tuning by ear, changing your guitar strings, and other advanced guitar playing and maintenance topics are outside the scope of this course. It's great for absolute "square one" beginners who are just getting started on their guitar journey or intermediate players who need a review and thorough grounding in the basics. Who this course is for: Absolute beginners who are just getting started on their guitar journey Self motivated guitarists with a "do-it-yourself" attitude More experienced musicians and music teachers who want to know more about tuners in deeper detail than just the basics they already know Music store salespeople who want to be better able to explain all the features and pros and cons of tuners they sell to customers Homepage https://www.udemy.com/course/basic-guitar-tuning-workshop/ Rapidgator https://rg.to/file/7cf8b02f0dfd137aaf9a58a2f793dcd5/ifcwg.Basic.Guitar.Tuning.Workshop.part1.rar.html https://rg.to/file/cb61bfbf91f2a515b2797e7fb9958689/ifcwg.Basic.Guitar.Tuning.Workshop.part2.rar.html Fikper Free Download https://fikper.com/S3ez2c4r5F/ifcwg.Basic.Guitar.Tuning.Workshop.part1.rar.html https://fikper.com/TWNtXeqORh/ifcwg.Basic.Guitar.Tuning.Workshop.part2.rar.html No Password - Links are Interchangeable

Free Download GenAI World - LLM, Fine-tuning, RAG & Prompt engineering Published 10/2024 Created by Rabbitt Learning MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lectures ( 42m ) | Size: 561 MB The single source of truth What you'll learn: Understand the fundamentals of prompting in the context of large language models (LLMs). Learn the importance of prompt engineering for optimizing model perform Explore advanced concepts like Direct Preference Optimization (DPO) and Parameter-Efficient Fine-Tuning (PEFT). Gain insights into Retrieval Augmented Generation (RAG), understanding its components and how it enhances LLM capabilities. Requirements: Yes, students should have: A foundational understanding of artificial intelligence and machine learning concepts, especially related to language models. Proficiency in Python programming, as the course includes detailed code examples and exercises. Familiarity with deep learning frameworks. Basic knowledge of natural language processing (NLP) and transformer models. Access to necessary computational resources, such as a GPU-enabled environment. Description: This course covers everything from Large Language Models (LLMs), prompt engineering to parameter-efficient fine-tuning (PEFT) and advanced concepts like Direct Preference Optimization (DPO). You'll also dive deep into Retrieval Augmented Generation (RAG) to enhance your LLMs' capabilities by integrating retrieval systems for superior responses.By the end of this course, you'll be equipped to create AI solutions that align perfectly with human intent and outperform standard models. What You'll Learn:Craft powerful and effective prompts for LLMs to optimize outputs.Master Direct Preference Optimization (DPO) and PEFT for domain-specific fine-tuning.Implement Retrieval Augmented Generation (RAG) to elevate model performance.Gain insights into state-of-the-art LLM capabilities, focusing on practical and advanced techniques.Develop customized solutions with hands-on code examples and exercises. What you will Get A foundational understanding of artificial intelligence and machine learning concepts, especially related to language models. Proficiency in Python programming, as the course includes detailed code examples and exercises. Familiarity with deep learning frameworks. Basic knowledge of natural language processing (NLP) and transformer models. Access to necessary computational resources, such as a GPU-enabled environment. In addition to the core topics, our course also features real-world case studies on fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG). These case studies offer practical, hands-on insights into how these techniques are applied in real AI projects .These case studies provide a practical framework for applying the theoretical concepts covered in the course, helping learners implement these methods in their own projects. Who this course is for: This course is ideal for: Machine learning engineers and data scientists looking to enhance their skills in fine-tuning large language models. AI researchers and practitioners interested in advanced techniques like RAG, PEFT, and QLoRA. Developers and programmers aiming to implement AI solutions that require domain-specific model customization. Students and academics studying artificial intelligence, machine learning, or natural language processing. Anyone interested in state-of-the-art AI technologies and how to apply them effectively in real-world scenarios. Homepage https://www.udemy.com/course/genai-world-llm-fine-tuning-rag-prompt-engineering/ Rapidgator https://rg.to/file/f59fdf8623032aa4f829304a12fe9127/nonlu.GenAI.World..LLM.Finetuning.RAG..Prompt.engineering.rar.html Fikper Free Download https://fikper.com/Tb2IRzSxjq/nonlu.GenAI.World..LLM.Finetuning.RAG..Prompt.engineering.rar.html No Password - Links are Interchangeable

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Complete MongoDB Course Series : Part 4: Performance tuning with Indexes MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 17M | 48 MB Genre: eLearning | Language: English Complete MongoDB Course Series : Part 4: Performance tuning with Indexes Topics Covered in this class: Introduction to Indexes Understanding Impact of Indexes Creating Index Finding Indexes Dropping Index In this series of MongoDB classes we will start with basics of MongoDB and then we go on learning advance concepts to build MongoDB based applications. In this Complete MongoDB Course Series (Part 1 -Part 11), we will start by learning basic concepts of MongoDB, MongoDB installation process, creating databases, Collections, CRUD operations, Indexing, ObjectIds in MongoDB, Aggregation Framework in MongoDB,Data Modeling in MongoDB,Relationships in MongoDB, User/Role Management In MongoDB, Regular Expressions in MongoDB, Map-Reduce in MongoDB. At the end of this course you will be mastering MongoDB based application development. Course Highlights Most comprehensive course series on MongoDB with NoSQL database design approach Simple, easy and well explained lectures with practical examples Course Objective Mastering MongoDB based application development Decide where and when to use MongoDB in your application development Design MongoDB database from start to finish Differentiate between RDBMS and NoSQL databases Spot key features and advantages of NoSQL database MongoDB over RDBMS databases DOWNLOAD http://rapidgator.net/file/1e0d93fb57f079adcb9ec2ea614ed1a8/vns58.Complete.MongoDB.Course.Series..Part.4.Performance.tuning.with.Indexes.rar.html https://bytewhale.com/qjg7udaxk7mo/vns58.Complete.MongoDB.Course.Series..Part.4.Performance.tuning.with.Indexes.rar http://uploaded.net/file/jgrslmin/vns58.Complete.MongoDB.Course.Series..Part.4.Performance.tuning.with.Indexes.rar https://www.bigfile.to/file/WD2ktRrPrEEX/vns58.Complete.MongoDB.Course.Series..Part.4.Performance.tuning.with.Indexes.rar http://nitroflare.com/view/AE985FABD764900/vns58.Complete.MongoDB.Course.Series..Part.4.Performance.tuning.with.Indexes.rar http://uploadgig.com/file/download/963f3050ab5250c7/vns58.Complete.MongoDB.Course.Series..Part.4.Performance.tuning.with.Indexes.rar

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Performance Tuning the Nikon D5500 With Steve Simon Size: 666MB | Duration: 1h 21m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Advanced | Language: English You've been using your Nikon D5500 for a while-but are you using it efficiently? This camera is packed with customization features that allow you to fine-tune everything from focusing to exposure. In this course, photographer and educator Steve Simon demonstrates a set of customization strategies aimed at making a Nikon D5500 camera far more responsive and effective. That way, you can focus on composition and artistic expression, and let your Nikon handle the rest. Topics include: * Configuring the autofocus options * Reviewing dynamic mode * Understanding exposure modes * Maximizing live view * Zeroing out the camera to start fresh Download From NitroFlare http://www.nitroflare.com/view/A3253EFAEC35AD4/xidau123_LcPerformancTuningNikonD5500.rar Download From Rapidgator http://rapidgator.net/file/408056779ae76f75e6f84bf8e78fa7c6/xidau123_LcPerformancTuningNikonD5500.rar.html

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Udemy - Advanced SQL Server Performance Tuning MP4 | Video: 1280x720 | 53 kbps | 44 KHz | Duration: 2 Hours | 369 MB Genre: eLearning | Language: English A Pragmatic Real World Approach To Tuning SQL Server. This course focuses on making SQL Server perform more optimally. In my first course we laid the groundwork by tuning OUR instances with a top down approach. WE will continue on that path with this course. Even though the course has the word "Advanced" in it, there's NOTHING COMPLICATED about taking what's in the course and applying it in the real word. Read more: It's "advanced" in that I'll take more time explaining how to implement these recommendations. The course is still very much a "buttons and Knobs" course. This simply means WE won't dive too deeply into the minutia. We are still going to focus on items that are easily implemented. Some features will have a level of contention associated with them in the SQL Server community. It will be up to you decide to implement or not. Additionally, some of the concepts may be new to even more senior level resources so I want to make sure I'll cover the why of the topic as well as the how. This course will give YOU deeper insight into what it takes to become a skilled PERFORMANCE TUNER. Once thought of as an art, performance tuning is nothing more than a series of processes that seek to accomplish TWO basic goals. The FIRST one is to increase the response time for a given transaction or set of transactions. The SECOND one is reduce resource consumption. On the surface this sounds simple but nothing could be further from the truth. Take the next step on YOUR performance tuning journey and SIGN UP now. What are the requirements? You will need to have SQL Server 2012 or 2014 installed. It can be an express version. I'll be providing all the scripts and schema for the course. There is no other cost other than the price of the course. Everything else is included or free. If you're not familiar with SQL Server fundamentals then this course may not be for you. I do appreciate and understand your enthusiasm and promise this course will be here when you're ready. What am I going to get from this course? Over 38 lectures and 1.5 hours of content! By the end of this course you will have a systematic process approach and all the necessary tools needed to begin your journey as a SQL Server performance tuner. In this course we will dive a little into performance tuning. We will look caching, hints, filters, trace flags and best coding practices. In the course we will use statistics and query plans to analyze the effectiveness of our indexes. What is the target audience? If you have basic understanding of SQL Server and want to learn how to tune and optimize a SQL Server then this course is for you. This course is not a beginner's course. Most of the students will be mid-level to senior SQL Server resources. You'll need to be familiar with transact SQL and have a strong grasp navigating SQL Server Management Studio. My first is not required but it will help build a foundation for some of these more complicated topics. http://rapidgator.net/file/2472e4d5d8712f07d783d2f7984cd5cd/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part1.rar.html http://rapidgator.net/file/059ffd4f488b02d567acb001b62b619d/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part2.rar.html http://rapidgator.net/file/df1bb4ffea84afe94f4b09e6956836f1/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part3.rar.html http://rapidgator.net/file/dfd3d53497ec922efcc49fba1a556b66/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part4.rar.html http://www.nitroflare.com/view/14CD19400D93EE8/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part1.rar http://www.nitroflare.com/view/7C305422E84AAB2/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part2.rar http://www.nitroflare.com/view/0D6563762286EA6/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part3.rar http://www.nitroflare.com/view/15DE0965AE6A527/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part4.rar http://uploaded.net/file/cheo61ir/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part1.rar http://uploaded.net/file/1j2riac5/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part2.rar http://uploaded.net/file/hti0aj1z/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part3.rar http://uploaded.net/file/c0ou3gez/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part4.rar http://www.uploadable.ch/file/xKGCmK4qUxKg/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part1.rar http://www.uploadable.ch/file/sQbnuaHfGK9V/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part2.rar http://www.uploadable.ch/file/FWFmWkXWyybR/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part3.rar http://www.uploadable.ch/file/eHTJ3P4UznKY/vsspb.Udemy..Advanced.SQL.Server.Performance.Tuning.part4.rar

Oracle SQL Performance Tuning for Developers LiveLessons English | H264 1280x720, 640x360 | AAC 2 ch | 5 hrs 33 min | 1.62 Gb Genre: eLearning The focus of Oracle SQL Performance Tuning for Developers LiveLessons is to illustrate coding techniques that ensure a consistent response time between instances and releases of the Oracle database. This course works closely with performance tuning of actual SQL statements. Description In this video training, Dan Hotka starts out with a complete overview of the Oracle architecture so students can get an understanding how their SQL and applications can take advantage of the computing environment. This course then goes in-depth on understanding and controlling the Explain Plan, which is how and in what order Oracle retrieves data. The discussion includes considerable detail, with SQL examples, on how the optimizers--both rule-based and cost-based, but mostly cost-based--make their decisions. Students will work with a variety of SQL statements, reviewing Explain Plans and making changes to make these SQL statements perform better. Lectures include index design, using hints and coding style to control the Explain Plans, and how to use useful tools such as index monitoring, SQL Trace, and the PL/SQL profiler. This LiveLessons course takes a close look at indexes: how Oracle selects them, why they are sometimes not used, and how to tell if indexes are being used. This course includes Oracle10g, Oracle11g, and Oracle12c SQL tuning topics. The source code repository for this LiveLesson can be downloaded from the Downloads tab on this product page or by clicking here for a direct download. Learn How To - Read and understand Explain Plan content - Review an Explain Plan and tell quickly if this is a good plan - Understand a good index column candidate from a not-so-good candidate - Quickly tell the likelihood if your SQL will use an existing index - Use coding and a variety of Hints (directives) that can produce better performing SQL - Execute and interpret SQL trace output Who Should Take This Course - Oracle programmers - Oracle database administrators who need additional training on SQL tuning Course Requirements - Working knowledge of the SQL query language DOWNLOAD http://rapidgator.net/file/4211d93eff12c0a09a8132912ab74860/cOracle.part1.rar.html http://rapidgator.net/file/80adc91a6ea52033c0614e065d4e5364/cOracle.part2.rar.html http://rapidgator.net/file/4e1c9d732177c7e2026fe37f543111b9/cOracle.part3.rar.html http://rapidgator.net/file/3bbb0dbbfb2b1ae5a49ed2b09df8e7b5/cOracle.part4.rar.html http://rapidgator.net/file/b14310c1d14f82a61b1199ba7f026d1a/cOracle.part5.rar.html http://rapidgator.net/file/9ad84f8a2ea5acf74770a243be41f1f3/cOracle.part6.rar.html http://rapidgator.net/file/0d6e9dc47ddc5bc30ff1a474ee8e1cc9/cOracle.part7.rar.html http://uploaded.net/file/r9waxehe/cOracle.part1.rar http://uploaded.net/file/nrd2x6wk/cOracle.part2.rar http://uploaded.net/file/e41rp9ba/cOracle.part3.rar http://uploaded.net/file/p6ljixkd/cOracle.part4.rar http://uploaded.net/file/wm8lmt4q/cOracle.part5.rar http://uploaded.net/file/80kyrfot/cOracle.part6.rar http://uploaded.net/file/bv04jyiy/cOracle.part7.rar http://www.hitfile.net/2KDQ/cOracle.part1.rar.html http://www.hitfile.net/2LKs/cOracle.part2.rar.html http://www.hitfile.net/2KGC/cOracle.part3.rar.html http://www.hitfile.net/2MAq/cOracle.part4.rar.html http://www.hitfile.net/2KNh/cOracle.part5.rar.html http://www.hitfile.net/2L54/cOracle.part6.rar.html http://www.hitfile.net/2M2b/cOracle.part7.rar.html http://www.uploadable.ch/file/Yt8SmAEbJnC7/cOracle.part1.rar http://www.uploadable.ch/file/9qtuZbcsHxQh/cOracle.part2.rar http://www.uploadable.ch/file/Fmfa2wnQBjf8/cOracle.part3.rar http://www.uploadable.ch/file/rh2FEnmhsPVs/cOracle.part4.rar http://www.uploadable.ch/file/QXMUMR7WyKYz/cOracle.part5.rar http://www.uploadable.ch/file/MrWKjjHASRgS/cOracle.part6.rar http://www.uploadable.ch/file/9VnjRypuSEZZ/cOracle.part7.rar