1996 for Daelim VC125 Magneto Stator Generator 31120-BA1-0000
SKU: 69894492679

1996 for Daelim VC125 Magneto Stator Generator 31120-BA1-0000

Sale price$85.29 Regular price$94.77
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Description

1996 for Daelim VC125 Magneto Stator Generator 31120-BA1-00008 Pole Magneto Generator Stator Fit for Daelim Daystar VL125 VS125 VT125 (Carb Models) Features: Direct replacement to your original unit Highest grade lamination materials. Pick up pulsar coil included. Connector included. Rubber grommet included. All products shipped are tested. Specifications: Condition: Aftermarket 100% Brand New Type: Stator Coil other specifications: Number of wires: 5 Number of plugs: 1 Number of pins: 3 + 1 + 1 Number of

8-Pole Magneto Generator Stator Fit for Daelim Daystar VL125 / VS125 / VT125 (Carb Models)

Features:
Direct replacement to your original unit
Highest grade lamination materials.
Pick up pulsar coil included.
Connector included.
Rubber grommet included.
All products shipped are tested.

Specifications:
Condition: Aftermarket 100% Brand New
Type: Stator Coil

other specifications:
Number of wires: 5
Number of plugs: 1
Number of pins: 3 + 1 + 1
Number of fixation holes: 3
Number of poles: 8

Please compare the number of pins and plugs with the old part before purchasing.

Replacement Part Number:
31120-BA1-0000
DAE-31120-BA1-0000
DAE-31120-BA5-9000
DAE-31120-KEZ-9000

(Always compare part numbers to your parts schematics and cross reference appropriately.)
(This is NOT a genuine Part, OEM part numbers are included for product type identification and comparison only.)

Fits Make/Model/Year:
Fit for Daelim VC125 1996
Fit for Daelim VS125 1997-1998
Fit for Daelim VS125 Evolution 1999
Fit for Daelim VS125 Evo 2000-2004
Fit for Daelim VT125 1998
Fit for Daelim VT125 Evolution 1999
Fit for Daelim VT125 Evo 2000-2005
Fit for Daelim VL / VL Classic (Daystar) (Carb Models)
Fit for Daelim VS125 MJ 2006

For Carburetor (Carb) Models ONLY.
This will NOT fit on newer Electronic Fuel Injection (EFI) models.
Please verify your fuel system before ordering.

(Compatibility Chart is for Reference ONLY!!!)
(Please Compare with Your faulty unit and the image we provided to Decide Fitments)

Package Included:
1x 8-Pole Stator Generator

NOTICE:
Before installing your new stator

Check the AC output of the stator.
Replace any burned or corroded connectors on stator and regulator/rectifier.
Check and repair any melted wiring.
Use hi-temp dielectric grease on all connectors
Our stator may use a different wire color code than your original.
All of the wires are installed in the correct order; please do not change any of the wiring configurations.
This stator is designed as a direct plug-in replacement and should be used as such.
When bolting stator in, always use locking compound.
If our stator includes a pickup coil, always make sure the air gap is correct upon installation.

All item pictures are accurate; if in doubt do not hesitate to compare our item to your original part.

Battery condition is important. No stator can make up for a bad or weak battery. If in doubt charge your battery and have it load tested, or simply replace it.
ALWAYS START WITH A FULLY CHARGED BATTERY !

The product on offer is an accessory or spare part and thus is not an original product of the vehicle manufacturer.
The name of the vehicle manufacturer is stated only as an indication of the determination of the product being offered as an accessory or spare part, to clarify, for which vehicle the product on offer fits.

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
24-Hour Expert Online: Solve your installation and product problems

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
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
SKU: 69894492679

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Om S
Belleville, 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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Reviewed in the United States on July 25, 2025
J
Jiewen Wang
San Leandro, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
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Reviewed in the United States on July 2, 2025
N
Nader
Lexington, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
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noam barkay
Battle Creek, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
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Ryan Meyer
Massapequa, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025

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