SKU: 75502390298

Ninja SL2 77/4500 Carbon Fiber Paintball Tank - Blue - ProV2 Regulator

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Description

Ninja SL2 77/4500 Carbon Fiber Paintball Tank - Blue - ProV2 RegulatorThings you need to know: Weight: 2 lb 2 ounces (with regulator installed) Regulator settings: Standard: Adjustable output pressure 450 850 PSI ProV2: Adjustable output pressure 450 850 PSI AND adjustable locking rotation of tank regulator to put fill nipple and gauge in desirable position when screwed into paintball gun ProV2 SLP: Non adjustable output pressure of 300 PSI AND adjustable locking rotation of tank regulator to put fill nipple and gauge

Things you need to know:

Weight: 2 lb 2 ounces (with regulator installed)

Regulator settings:

  - Standard: Adjustable output pressure 450-850 PSI

  - ProV2: Adjustable output pressure 450-850 PSI AND adjustable locking rotation of tank regulator to put fill nipple and gauge in desirable position when screwed into paintball gun

  - ProV2 SLP: Non-adjustable output pressure of 300 PSI AND adjustable locking rotation of tank regulator to put fill nipple and gauge in desirable position when screwed into paintball gun

  - ProV2 SHP:   Non-adjustable output pressure of 1000 PSI AND adjustable locking rotation of tank regulator to put fill nipple and gauge in desirable position when screwed into paintball gun

Ninja Paintball has been proven as one of the best paintball tank manufacturers within the business.  Ninja is known for making the highest of quality paintball regulators and paintball tanks.  These tanks stand the test of time and are what paintball players need to fuel their paintball guns while out on the paintball field.

The SL2 series of carbon fiber paintball tanks are some of the best quality and lightest weight paintball tanks within the industry.  Ninja paintball has created a smaller, lighter bottle combine with their very trustworthy and high quality paintball tank regulators.   The 77 cubic inch tanks are becoming the most popular size of the SL2 paintball tank collection.  They are designed for those paintball players wanting a lightweight paintball gun setup but with a slightly more extended feel.  Expect to get anywhere from 1000-1300 shots out of a full 4500 psi fill with this 77 cu paintball tank depending upon the paintball gun it is used in conjunction with.  Weight is 2 pound 2 ounces with a standard adjustable regulator.  

These tanks come standard with our Standard Ninja regulator.  The standard Ninja paintball regulator has adjustable output pressures of between 450-800 psi.  The output pressure is adjusted by removing the bonnet of the regulator and removing or adding shims to get the desired output pressure to match perfectly with your paintball gun. 

Other features include:

 - Sonic Recharge Technology piston

 - Plated aluminum piston that produces an industry leading recharge rate and virtually eliminates reg shoot down

 - SPA - Shim Pressure Adjustment- change output pressure by adding or removing shims, not springs or pistons

 - MFV - Mini Fill Valve - Non wrist digging, low profile design fill valve

 - All black tactical look

 - Brass bonnet

 - Meets all DOT, CGA and ASTM specifications

 - Completely rebuildable by the user

 - Every regulator is hand crafted and factory tested

 - ASTM COMPLIANT bonnet thread

 - Low pressure burst disk

 - Ninja Paintball Tank ASTM COMPLIANT Restrictor, bleed hole and safety groove

 - Ninja Paintball Tank Mini Fill Valve IS hardened, plated 5000 psi rated

 - Ninja Paintball Tank Reg installed to ASTM specifications

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SKU: 75502390298

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4.2 ★★★★★
Based on 6 reviews
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R
Ryan Meyer
Lake Worth, 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
V
Vineeth Sai
Los Angeles, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Bozeman, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
A
Verified Purchase
Amazon Customer
Natrona Heights, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 2, 2024
M
Verified Purchase
MrGee
West Palm Beach, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021

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