SKU: 90527879610

Unique Loom Warhol Vita 7 x 10 Turquoise/Navy Blue Indoor Medallion Oriental Area Rug

Sale price$117.92 Regular price$131.02
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Description

Unique Loom Warhol Vita 7 x 10 Turquoise/Navy Blue Indoor Medallion Oriental Area RugKids and Pet Friendly Great value, high quality and very durable Care Instructions: Vacuum regularly and spot clean This rug is stain resistant, fade resistant, does not shed, and is easy to clean Features Collection Name Warhol Vita Series Name N A Actual Width (Feet) 7 Actual Length (Feet) 10 Actual Diameter (Feet) 0 Pile Height (Inches) 0. 5 Fringed No Team Name N A Team League N A Flame Retardant No Machine Washable No Care Instructions Spot clean

Kids and Pet Friendly Great value, high quality and very durable Care Instructions: Vacuum regularly and spot clean This rug is stain resistant, fade resistant, does not shed, and is easy to clean

Features
Collection Name Warhol Vita
Series Name N/A
Actual Width (Feet) 7
Actual Length (Feet) 10
Actual Diameter (Feet) 0
Pile Height (Inches) 0.5
Fringed No
Team Name N/A
Team/League N/A
Flame Retardant No
Machine Washable No
Care Instructions Spot clean with mild detergent
Commercial/Residential Commercial/Residential
Manufacturer Color/Finish Turquoise/Navy Blue
Warranty Limited lifetime
Textile Information Imported
For Use in Entryways Yes
For Use in Kitchens Yes
For Use in Living Rooms Yes
For Use in Bedrooms Yes
For Use in Dining Rooms Yes
For Use With Fireplaces No
For Use on Patios No
For Use in Kid's Rooms Yes
Indoor/Outdoor Indoor
Pattern Medallion
Material Polypropylene
Trend Oriental
Shape Rectangular
Style Modern/Contemporary
Type Area rug
Backing Cotton
Common Measurement (W x L) 7 x 10
Construction Machine-made
For Use on Stairwells No
Stain Resistant Yes
Technique Loomed
Color/Finish Family Blue
UV Protection No
CA Residents: Prop 65 Warning(s) No
ARB265W Exclusive No

Shipping Notes
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Exchange/Return Notes
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SKU: 90527879610

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4.7 ★★★★★
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J
Verified Purchase
Johann
Belleville, US
★★★★★ 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!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 4, 2025
J
Verified Purchase
jrw879
Omaha, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 20, 2026
W
Verified Purchase
Wil C
Carnegie, US
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 23, 2025
A
Verified Purchase
Abdul
Lake Worth, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 5, 2025
Y
Verified Purchase
Y. Banga
Chelsea, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 21, 2025

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