SKU: 12833150667

Milwaukee Akku Set 4x M12 HB2.5 High Output 12 V 2,5 Ah / 2500 mAh Li-Ion Akku ( 4x 4932480164 )

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Description

Milwaukee Akku Set 4x M12 HB2.5 High Output 12 V 2,5 Ah / 2500 mAh Li-Ion Akku ( 4x 4932480164 )Lieferumfang: 4x Milwaukee M12 HB2. 5 High Output 12 V 2,5 Ah 2500 mAh Li Ion Akku ( 4932480164 ) Produktbeschreibung: Der Milwaukee M12 High Output 2,5 Ah verfgt ber die REDLINK Intelligenz, sowie einen berspannungsschutz, der das Gert effizient vor Schaden schtzt. Das integrierte Temperatur Management hlt den Milwaukee M12 Akku bei idealer Arbeitstemperatur fr optimale Lebensdauer. Die patentiert Technologie im inneren des Akkus sichert eine optimal

Lieferumfang:

- 4x Milwaukee M12 HB2.5 High Output 12 V 2,5 Ah / 2500 mAh Li-Ion Akku ( 4932480164 )

Produktbeschreibung:

Der Milwaukee M12 High Output 2,5 Ah verfügt über die REDLINK-Intelligenz, sowie einen Überspannungsschutz, der das Gerät effizient vor Schaden schützt. Das integrierte Temperatur Management hält den Milwaukee M12 Akku bei idealer Arbeitstemperatur für optimale Lebensdauer. Die patentiert Technologie im inneren des Akkus sichert eine optimal Leistungsabgabe. Des Weiteren kann der Akku bei extremen Temperaturen bis -20 °C eingesetzt werden, ohne dass Laufzeit und Lebensdauer des Akkus beeinträchtigt werden. Darüber hinaus besitzt der M12 eine Einzelzellenüberwachung, die gewährleistet ein optimales Laden und Entladen. Ein Metallrahmen im Akku schützt diesen zuverlässig vor starken Vibrationen und bei einem Sturz. Selbstverständlich ist der 2,5 Ampere Akku mit dem ganzen M12 Sortiment von Milwaukee kompatibel. Milwaukee ist ein führender Hersteller von Elektrowerkzeugen, ein hoher Verarbeitungsstandard und immer weiter wachsendes 12 V System zeichnen das Unternehmen aus.

Technische Daten:

Hersteller: Milwaukee
Herstellernummer: 4932480164
Herstellerbezeichnung: M12 HB2.5 High Output
Spannung (V): 12
Akku: Li-ion
Akkukapazität (Ah): 2,5
Gewicht (kg): 0,2
System: M12™
Ladezeit C12 C Ladegerät: 55 min
Ladezeit M12 C4 Ladegerät 55 min
Ladezeit M12 TV Ladegerät 200 min
Ladezeit M12-18 AC Ladegerät 55 min
Ladezeit M12-18 C Ladegerät 55 min
Ladezeit M12-18 FC Ladegerät 40 min
Ladezeit M12-18 SC Ladegerät 40 min


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SKU: 12833150667

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Johann
Birmingham, US
★★★★★ 4
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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
J
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jrw879
Bozeman, 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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Wil C
Bozeman, 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
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Reviewed in the United States on September 23, 2025
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Verified Purchase
Abdul
Carnegie, 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.
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Reviewed in the United States on May 5, 2025
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Y. Banga
Lowell, 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.
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Reviewed in the United States on February 21, 2025

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