Parts Compatible with 545081848, 545081847, 545081849, 545081850, 545006062, 545006063, 545006034, 545130001 carburetor Zama C1Q-W40A Carburetor
Model Fit Guide
Carburetor For Husqvarna Poulan String Trimmer Husqvarna 128C (2010-08) Trimmer/Edger
128C (2010-08) Trimmer/Edger
128CD 28cc Gas Line Lawn Trimmer
125R (2007-10) Brushcutter
125RJ (2009-09) Brushcutter
128R (2010-08) Brushcutter
128LD 952711969 2010-06 Trimmer/Edger
128LD 952711969 2010-06 Trimmer/Edger
128 RJ (952715759) (2011-08) Row Brushcutter
128 RJ (952715754) (2010-08) Brushcutter
128 RJ (952711950) (2010-08) Brushcutter
128 DJX (966712501) (2012-05) Trimmer
128 DJX (966712501) (2011-01) Trimmer
128 L (952715755) (2010-08) Row Trimmer
128 L (952715750) (2010-08) Eu Au
128 L (952711946) (2010-08) Us Can
128 LD (952711969) (2010-08) Us Can
128 LD (952711953) (2010-08) Us Lowes
128LDX (966589201) (2010-06) Us Can
128 LDX (952715757) (2012-01) Row Trimmer
128 LDX (952715753) (2012-01) Eu Au
128 LDX (952711948) (2010-08) Us Can
128 LDX (545192137) (2010-08) Row Trimmer Poulan 28cc Bruch Cutter Carburetor For Jonsered String Trimmer Jonsered BC2126 CAN (2009-09) Brushcutter
BC2126 EU AU (2010-08) Brushcutter
BC2126 US (2009-09) Brushcutter
BC2128 CAN - 952711959 (2010-08) Brushcutter
BC2128 EU AU - 952715763 (2010-08) Brushcutter
CC2126 CAN (2009-09) Brushcutter
CC2126 EU AU (2010-08) Brushcutter
CC2126 US (2010-08) Brushcutter
CC2128 CAN - 952711960 (2010-06) Brushcutter
CC2128 EU AU - 952715764 (2010-08) Brushcutter
CC2128 US - 952711957 (2010-06) Brushcutter
GC2128 US CAN - 952711955 (2010-08) Trimmer
GT2128 EU AU - 952715761 (2010-06) Trimmer
GT2128 US CAN (2010-06) Trimmer
GC2128C CAN - 952711958 (2010-06) Trimmer
GC2128C EU AU - 952715762 (2011-04) Trimmer
GC2128C US - 952711956 (2011-03) Trimmer
Features
1. Pre-adjusted by manufacturer, easy to install.
2. Stronger power & lower fuel consumption.
3. Precisely aligned mounting hole makes perfect fit for your equipment.
4. High quality nozzle, more effective fuel combustion.
5. PREMIUM MATERIAL FOR PREMIUM CARBURETOR: Resistant to chemical corrosion, high temperature, and wear by utilizing brass components, composite rubber diaphragms, and anodized aluminum carburetor body.
6.[CARBURETOR DIMENSIONS] Throttle Diameter: 14mm, Mounting Center to Center: 31mm, Choke Diameter: 18mm, Venturi Diameter: 10mm, Fuel Inlet Line Size: 3mm, Fuel Return Line Size: 3mm
Shipping Notes
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Exchange/Return Notes
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Get to the safest place in a building- The Basement
Format: Hardcover, Format: Hardcover
This book is a simple and poignant call to arms- or should I say, call to open our arms- for ALL followers of Christ. Take Tim Ross' hand and let him lead you through the acceptance and vulnerability of what it means to be a disciple. It shines the light on the reality of our brokenness and gives us real life examples of how to flip things on their heads to bring our pieces to the only one who can truly mend us.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2024
K
Verified Purchase
Karen H.
Grantham, US
★★★★★ 5
The Basement is a Safe Place
Format: Hardcover
The Basement by Tim Ross is a book full of Bible, insight, and words of wisdom that only Tim Ross and the Holy Spirit can provide. Each page has tips for everyday living and how you too can upset the world with the message of love and hope of Jesus Christ.
Read the book and join the Dwellers in the basement for a whole new perspective on life with Jesus.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 27, 2024
P
Paul Pollock
Birmingham, US
★★★★★ 5
Your Blueprint for Building Smarter AI!
Format: Paperback
If you're building AI and sometimes feel a bit lost, "LLM Design Patterns" by Ken Huang is like finding the secret map you've been searching for.
Ken Huang, who clearly knows his stuff (he's a renowned AI expert and works with big names like OWASP and NIST), writes in a way that just clicks, without getting bogged down in super-dense tech talk. The author even acknowledges using AI to make the language clearer for a smooth reading experience!
This book covers everything you need, from getting your data squeaky clean to making AI agents that can actually think and act autonomously. For me, the parts on Retrieval-Augmented Generation (RAG) and advanced ways to 'talk' to your AI (prompting) were particularly eye-opening and immediately useful for my projects.
Plus, it has handy code snippets that really help you grasp the ideas. While they're not ready for direct production copy-pasting, they illustrate the concepts perfectly for learning. It's not for absolute beginners – you'll want some basic Python and machine learning smarts to get the most out of it – but the effort is totally worth it. It even delves into making sure your AI is fair and unbiased, which was a real lightbulb moment for me.
This book is crammed with actionable advice; it's less about abstract theory and more about real-world solutions you can actually use. If you're serious about building impressive AI systems professionally, this is a must-read.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2025
A
Allen Wyma
Birmingham, US
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
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Reviewed in the United States on August 26, 2025
O
Om S
Birmingham, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon.
The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice.
Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening.
Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development.
Recommended for anyone building AI systems professionally.
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