SKU: 89450654374

GTXR & Ridstar Q20 Lite 1000W Fat Tire Electric Motorcycles

$449.55 $499.50
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Ships within 48 hours · Estimated delivery Aug 6 - Aug 11

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Description

GTXR & Ridstar Q20 Lite 1000W Fat Tire Electric MotorcyclesAbout this item [ & ] This electric bike for adults stands out with its distinctive design and stylish bike headlight for nighttime safety. The saddle provides a delicate and soft feel, while the strengthened pole and hollowed out bracket enhance the sports adventure experience. Be the envy of others and embrace the latest fashion trend. [ & ''. ] Conquer any terrain with ease using the e bike's powerful 1000W brushless motor, reaching speeds up to

About this item

  • [𝗨𝗻𝗶𝗾𝘂𝗲 𝗦𝘁𝘆𝗹𝗲 & 𝗦𝗮𝗳𝗲𝘁𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀] - This electric bike for adults stands out with its distinctive design and stylish bike headlight for nighttime safety. The saddle provides a delicate and soft feel, while the strengthened pole and hollowed-out bracket enhance the sports adventure experience. Be the envy of others and embrace the latest fashion trend.
  • [𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝟭𝟬𝟬𝟬𝗪 𝗠𝗼𝘁𝗼𝗿 & 𝟮𝟬''𝘅𝟰.𝟬 𝗙𝗮𝘁 𝗧𝗶𝗿𝗲𝘀] - Conquer any terrain with ease using the e-bike's powerful 1000W brushless motor, reaching speeds up to 28+++mph and tackling slopes up to 35°. The 20''x4.0 fat tires are suitable for snow, beach, mountains, and city roads. Enjoy precise gear shifting with the professional Shamano 7-speed system.
  • [𝟯 𝗥𝗶𝗱𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝘀 & 𝗘𝘅𝘁𝗲𝗻𝗱𝗲𝗱 𝗥𝗮𝗻𝗴𝗲] - Choose between pure electric, electric assist, and pedal modes for versatile riding options. The removable 48V 15.6AH lithium-ion battery provides a range of up to 30 miles in pure electric mode and up to 60-80 miles in pedal assist mode. The UL-certified battery includes BMS security protection and offers fast charging in 4-6 hours.
  • [𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗦𝘂𝘀𝗽𝗲𝗻𝘀𝗶𝗼𝗻 & 𝗛𝘆𝗱𝗿𝗮𝘂𝗹𝗶𝗰 𝗗𝘂𝗮𝗹 𝗕𝗿𝗮𝗸𝗲𝘀] - Reinforced front suspension fork, easy to handle rough terrain. Rear hydraulic shock absorber brings excellent performance.
  • [𝗨𝘀𝗲𝗿-𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝘆 𝗗𝗶𝘀𝗽𝗹𝗮𝘆 & 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗦𝗮𝗳𝗲𝘁𝘆] - Stay informed with the advanced LCD display, providing real-time metrics, adjustable parameters, and trip-tracking options. Bright LED headlights and IP5 waterproof protection ensure safe riding in diverse road conditions. The electric dirt bike for adults has a maximum load capacity of 330 lbs
  • [𝗖𝗼𝗻𝘃𝗲𝗻𝗶𝗲𝗻𝘁 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 & 𝗔𝗰𝗰𝗲𝘀𝘀𝗼𝗿𝗶𝗲𝘀] - The electric mountain bike includes a 7.2'' phone holder and a spacious storage box. It features a multi-function LCD display, high brightness front light, and tail light for enhanced safety.
  • [𝗢𝗻𝗲-𝗬𝗲𝗮𝗿 𝗪𝗮𝗿𝗿𝗮𝗻𝘁𝘆] - Established in New Jersey and proudly serving the US since 2008. Our products come 90% pre-assembled and include a 𝟭-𝘆𝗲𝗮𝗿 warranty on the motor, battery, and charger. Feel free to reach out for any inquiries, and we'll get back to you 𝘄𝗶𝘁𝗵𝗶𝗻 𝟮𝟰 𝗵𝗼𝘂𝗿𝘀. //Please keep the original packaging for some time.

Product Description

Disc brakes and reflectors ensure riding safety.

Our electric bike comes equipped with high-quality front and rear disc brakes, providing powerful and agile braking performance in all road conditions. Additionally, our mechanical disc brake system ensures your safety while riding. The front wheel quick release design also makes installation and carrying more convenient. With added bike reflectors for night riding, you can ride with confidence and peace of mind.

Illuminate Your Path with High-Quality Headlights

Our electric bike features high-quality circular headlights that provide long-distance illumination, ensuring your safety during night rides. With the ability to light up your surroundings, our headlights offer added visibility and peace of mind. Ride with confidence and safety, even in low-light conditions, with our top-of-the-line electric bike headlights.

Enjoy a Smooth Riding Experience

Our electric bike offers a smooth and comfortable riding experience with its advanced suspension system and front and rear shock absorbers. Designed to handle rough terrain with ease, our bike ensures that every ride is enjoyable and effortless. Say goodbye to bumpy rides and hello to a smooth and comfortable journey with our electric bike.

Extended Range with Removable 48V Battery

Our electric bike comes equipped with a powerful 48V 15.6Ah lithium battery with a key lock attached to the frame, offering an extended range for your ride. With the convenience of charging the battery on or off the bike, you can easily maintain your power source according to your needs. It takes only 5-6 hours to fully charge, and the battery will last you an impressive 25-35 miles, depending on your riding style and weight.

Convenient Phone Holder and Storage Bag

Our electric bike comes equipped with a phone holder and storage bag, providing convenience and practicality for your ride. The phone holder allows you to easily access your phone while riding, making it easy to navigate and stay connected. The storage bag provides ample space to store your personal belongings, such as keys, wallet, and snacks, ensuring that you have everything you need within easy reach.

Waterproof LCD Display

Our electric bike features a waterproof LCD display that allows you to easily access important information about your ride. With this display, you can easily monitor your battery power, speed, speed modes, and total mileage, ensuring that you have all the information you need at your fingertips. The display is designed to be durable and waterproof, providing a clear view of your ride information even in wet conditions.

Customize Your Riding Performance with Shimano 7-Speed

Our electric bike is equipped with Shimano 7-speed, allowing you to customize your riding performance to suit your needs. With a wider range of gears available, you can achieve greater torque for challenging uphill climbs and maintain pedal authority at top speeds. The gears are nickel-plated for rust resistance and smooth shifting, ensuring a smooth and reliable ride.

Powerful 1000W High-Speed Motor

Our electric mountain bike is equipped with a powerful 1000W high-speed brushless motor, providing greater power and torque for your ride. With a top speed of up to 28+++mph, you can easily tackle challenging terrain and reach your destination faster.

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: 89450654374

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4.2 ★★★★★
Based on 10 reviews
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Product Reviews
O
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Houston, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Natrona Heights, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Grantham, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025

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