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Description
Honor Pad V9 WiFi Tablet PC, 11.5 inch 12GB+256GB MagicOS 9.0 Dimensity 8350 Ultra Octa Core, 12GB+256GB1. Dimension: 259. 1x176. 1x6. 1mm 2. Weight: 475g 3. Display: 11. 5 inch LCD large screen, up to 144Hz high refresh rate, 2800x1840 pixel resolution, 88% screen to body ratio, DCI P3 wide color gamut 4. CPU: Dimensity 8350 Ultra Octa Core (1 x Cortex A715 3. 35GHz + 3 x Cortex A715 3. 20GHz + 4 x Cortex A510 2. 2GHz) 5. GPU: Mali G615 MC6 6. RAM+ROM: 12GB+256GB 7. OS: MagicOS 9. 0 (Based on Android 15) 8. Front camera: 8MP (F2. 0 FF), photo
1. Dimension: 259.1x176.1x6.1mm2. Weight: 475g
3. Display: 11.5 inch LCD large screen, up to 144Hz high refresh rate, 2800x1840 pixel resolution, 88% screen to body ratio, DCI-P3 wide color gamut
4. CPU: Dimensity 8350 Ultra Octa Core (1 x Cortex-A715 3.35GHz + 3 x Cortex-A715 3.20GHz + 4 x Cortex-A510 2.2GHz)
5. GPU: Mali-G615 MC6
6. RAM+ROM: 12GB+256GB
7. OS: MagicOS 9.0 (Based on Android 15)
8. Front camera: 8MP (F2.0 FF), photo resolution up to 3264x2448 pixels
9. Rear camera: 13MP (F2.0 AF), photo resolution up to 4160x3120 pixels
10. Battery capacity: 10100mAh Li-ion polymer battery, supports fast charging function (up to 66W, compatible with 35W, 22.5W, 10W charging)
11. Speaker: 8pcs, microphone: 3pc
12. USB interface: USB Type-C
13. WLAN: WIFI 6, 2.4G/5G 802.11 a/b/g/n/ac/ax, 2x2 MIMO
14. Bluetooth: BT5.2, supports BLE, SBC, AAC, LDAC, aptX, aptX HD
15. Sensors: G-sensor, Accelerometer, Gyroscope, Hall sensor
16. Language: Chinese and English
17. Package Contents:
1 x Tablet PC
1 x 35W Charger
1 x Type-C cable
1 x Quick Guide
Specification:
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4.8 ★★★★★
Based on 21 reviews
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Product Reviews
★★★★★ 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
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Reviewed in the United States on February 21, 2025