SKU: 42746304928

SESSEL VINTAGE Knoll Antimott Stil Eiche Mid Century Skandinavisch Retro 60s

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Description

SESSEL VINTAGE Knoll Antimott Stil Eiche Mid Century Skandinavisch Retro 60sArtikel Nr.: AD5 (Sessel passend zu AC5) Gre: Breite 74cm x Tiefe 53cm x Hhe 89cm x Sitzhhe 44cm Designer Hersteller: Stil von Wilhelm Knoll Antimott (keine Kennung vorhanden) Jahr: ca. 1960er Jahre Epoche: Mid Century Modern Material: Massivholz (Eiche), hochwertiger Strukturstoff Zustand: Gereinigt, Gebrauchsspuren und Patina vorhanden, siehe Fotos Ausstattung: Massivholzgestell, ergonomische "Antimott" typische Armlehnen, lose Polsterkissen.

  • Artikel-Nr.: AD5 (Sessel passend zu AC5)

  • Größe: Breite 74cm x Tiefe 53cm x Höhe 89cm x Sitzhöhe 44cm

  • Designer / Hersteller: Stil von Wilhelm Knoll / Antimott (keine Kennung vorhanden)

  • Jahr: ca. 1960er Jahre

  • Epoche: Mid Century Modern

  • Material: Massivholz (Eiche), hochwertiger Strukturstoff

  • Zustand: Gereinigt, Gebrauchsspuren und Patina vorhanden, siehe Fotos

  • Ausstattung: Massivholzgestell, ergonomische "Antimott"-typische Armlehnen, lose Polsterkissen.

  • Beschreibung: Passend zum 2-Sitzer bieten wir hier den entsprechenden Sessel an. Das Design besticht durch die markante Linienführung der Eichen-Armlehnen und die zeitlose, skandinavische Ästhetik. Das Gestell ist sehr stabil und die Polsterung bietet einen hervorragenden Sitzkomfort. Ein Klassiker der 60er Jahre, der perfekt in moderne Wohnkonzepte passt.

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SKU: 42746304928

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4.6 ★★★★★
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Leigh Roberson
Waukegan, US
★★★★★ 5
the book for me
Format: Kindle
This has been the best book I’ve read in 2026. I finally understand who I am. I can’t tell you how many times I’ve wondered what’s wrong with me. Turns out …. Nothing! I have struggled with the constant message of “you need community” and the internal desire that cringes at the thought of it. Isolation is bad but select community is perfect. No more shame for needing alone time or just wanting to stay home. I’m normal - just an outlier ! Thank you so much for the valuable insight that has given me such revelation and relief about how my mind and emotions work 💜
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 4, 2026
M
Verified Purchase
Marc in MA
New York, US
★★★★★ 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
S
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Simon Mok
Chelsea, US
★★★★★ 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
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Verified Purchase
Johann
Alexandria, 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!
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Reviewed in the United States on August 4, 2025
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jrw879
Phoenix, 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.
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Reviewed in the United States on February 20, 2026

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