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- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 15 - Jul 20
For Your Every Summer RSVP, with Code: SUMMER15
Description
KONNWEI KW851 2 in 1 Car OBDll Scanner Diagnostic Tool Oil Service Light Reset, KW851Features: The KW851 Automotive OBDII Diagnostic Scanner works with all 1996 and newer OBDII compliant 12V gasoline and diesel fuels. It can identify the cause of your engine inspection and even fix it. It helps you pass annual emissions tests and smog inspections with ease, and covers complete OBDII EOBD diagnostics of your engine system. O2 Sensor Test, EVAP System Test and Board Monitor Test give you complete control over your vehicles operating
Features:The KW851 Automotive OBDII Diagnostic Scanner works with all 1996 and newer OBDII compliant 12V gasoline and diesel fuels. It can identify the cause of your engine inspection and even fix it. It helps you pass annual emissions tests and smog inspections with ease, and covers complete OBDII/EOBD diagnostics of your engine system. O2 Sensor Test, EVAP System Test and Board Monitor Test give you complete control over your vehicles operating status, while graphical and numeric real-time data stream displays will help you pinpoint problematic sensor readings.
The KW851 Oil Service Light Reset allows you to reset the service light on the instrument cluster. The Service Indicator System is designed to alert the driver when the vehicle requires service.
Functions:
read code
erasure code
I/M readiness
data flow
freeze frame
oil reset
O2 sensor test
car display
evaporation system
Vehicle Information
battery voltage
Parameters:
1. Screen: 2.8-inch color screen
2. Size: 20x10x3.5cm
3. Support multiple languages: English, French, German, Italian, Russian, Spanish, Polish
Specification:
| Package Weight |
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Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
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4.6 ★★★★★
Based on 517 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