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Description
KHAZNEH Wallet Case for OnePlus 13R 5G / Ace 5 5G / Ace 5 Pro 5G Genuine Cow Leather Phone CoverHigh Quality Genuine Cow Leather + TPU MaterialMade of fine texture genuine cow leather combined with TPU material, this case is durable and provides a luxurious feel, ensuring long lasting use All in One Wallet and Phone CaseThe practical design combines your wallet and phone case into one handy unit, making it convenient to carry your essentials RFID Blocking ProtectionEquipped with RFID shielding, this case protects your personal information from
- 【High-Quality Genuine Cow Leather + TPU Material】Made of fine texture genuine cow leather combined with TPU material, this case is durable and provides a luxurious feel, ensuring long-lasting use
- 【All-in-One Wallet and Phone Case】The practical design combines your wallet and phone case into one handy unit, making it convenient to carry your essentials
- 【RFID Blocking Protection】Equipped with RFID shielding, this case protects your personal information from unauthorized scanning and prevents the theft of credit card balances
- 【Convenient Stand Design】Features a supporting stand design for hands-free use, making it perfect for watching movies or reading comfortably
- 【Ultra-Strong Magnetic Closure】The ultra-strong magnetic closure keeps all your valuables secure, while precise cutouts ensure full access to ports, function buttons, speakers, and the camera. The case provides comprehensive protection against daily wear and tear, scratches, marks, and scrapes
Compatible with
- OnePlus Ace 5 5G
- OnePlus Ace 5 Pro 5G
- OnePlus 13R 5G
- OnePlus
Package included
- 1 x Leather Phone Case
- Other things not included
Specifications
| Brand | KHAZNEH |
| Case Feature | Wallet,With Stand |
| Color | Green |
| Material | Genuine Cow Leather,TPU |
| Packaging Type | Simple PP Bag |
| Surface Workmanship | N/A |
| Texture | N/A |
| Gross Weight | 0.097kg |
| Volume Weight | 0.082kg |
| Package Length | 17.300cm |
| Package Width | 8.500cm |
| Package Height | 2.500cm |
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4.2 ★★★★★
Based on 29 reviews
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Product Reviews
★★★★★ 5
Excellent introduction
Format: Kindle
This is a well-written introduction for quickly learning how to use Ollama to run LLMs on your local machine. The book is light on theory but very good for facilitating hands-on experimentation. Only minimal Python experience is needed. Contrary to another reviewer's comment, the source code, which can be copied from the Kindle version of the text, is also readily available by emailing the author at the address provided. The final exercise in the book leads you through generating a RAG application to use Ollama to process your own documents without having to make them available to an external server.
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Reviewed in the United States on April 6, 2026
★★★★★ 5
Effective book for learning ollama
Format: Paperback
The author has explained clearly the concept. Helpful and effectively written.
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Reviewed in the United States on January 21, 2026
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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Reviewed in the United States on August 4, 2025
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Reviewed in the United States on February 20, 2026
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book.
Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025