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Description
Santorine Bone LoveseatOVERVIEW Item Name: Santorine Loveseat by Ashley SKU: 2170835 Collection Name: Santorine Brand: Signature Design by Ashley Series ID: 21708 UPC: 024052940442 Whether your inspiration is contemporary or classic, this loveseats good looks and affordable luxury are hard to deny. Its clean lined silhouette and skillfully matched leather and faux leather upholstery offer a transitional sensibility. With ample cushions and tufted details, this loveseat
OVERVIEW
- Item Name: Santorine Loveseat by Ashley
- SKU: 2170835
- Collection Name: Santorine
- Brand: Signature Design by Ashley®
- Series ID: 21708
- UPC: 024052940442
Whether your inspiration is contemporary or classic, this loveseat’s good looks and affordable luxury are hard to deny. Its clean-lined silhouette and skillfully matched leather and faux leather upholstery offer a transitional sensibility. With ample cushions and tufted details, this loveseat invites you to relax in comfort. — Luna Furniture introduces Santorine Loveseat to enhance the beauty of your living spaces.
DIMENSIONS
- Overall Dimensions (Inches): 62''W x 38''D x 38''H
- Item Weight (Lbs): 118
- Unit Width (Inches): 62
- Unit Depth (Inches): 38
- Unit Height (Inches): 38
- Items Per Case: 1
- Shipping Weight (Lbs): 123
- Carton Depth (Inches): 68
- Carton Height (Inches): 36
- Carton Width (Inches): 63
SPECIFICATIONS
- Lifestyle: Contemporary
- Color: Brown/Beige
- Material: Leather Match
- Fabric: Leather
- Pattern: Solid
- Shade: Light
FEATURES
- Corner-blocked frame
- Attached back and loose seat cushions
- High-quality foam cushions wrapped in poly fiber
- 100% top grain leather covers inside areas such as the back, seat and arm cushions
- skillfully matched faux leather covers the remaining areas
- Due to its natural origin, real leather can show individual characteristics such as healed scars, growth marks, grain variation and shade variation
- Natural variations make each hide unique and do not detract from the wearing qualities of leather
- Exposed feet with faux wood finish
- Upholstery Features: Jumbo Stitch • Stationary
- Seat Count: 2
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- 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]
- Please click here for more details>>> Return & Exchange Policy
4.2 ★★★★★
Based on 1340 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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