SKU: 79905069681

The Mandalorian & Blurrg Set: TMS046: The Mandalorian: Star Wars

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Description

The Mandalorian & Blurrg Set: TMS046: The Mandalorian: Star WarsThe Mandalorian & Blurrg Set: TMS046: The Mandalorian: Star Wars The Mandalorian collectible figure features meticulously crafted helmet and armor pieces, finely tailored outfit, specially weathering effects, a blaster rifle, a blaster pistol, and display base. The highly accurate Blurrg is skillfully developed based on the appearance of the creature in The Mandalorian. Standing at approximately 37cm tall (43cm with base) and 60cm in length, it


The Mandalorian & Blurrg Set: TMS046: The Mandalorian: Star Wars 

The Mandalorian collectible figure features meticulously crafted helmet and armor pieces, finely tailored outfit, specially weathering effects, a blaster rifle, a blaster pistol, and display base.

The highly-accurate Blurrg is skillfully developed based on the appearance of the creature in The Mandalorian. Standing at approximately 37cm tall (43cm with base) and 60cm in length, it features greatly detailed head and body, articulated arms, a saddle, and a rocky theme display stand!

 

WHAT'S IN THE BOX?


The Mandalorian™ Sixth Scale Figure features:

  • Authentic and detailed likeness of The Mandalorian in the live-action series The Mandalorian 
  • Finely crafted silver-colored The Mandalorian’s helmet   
  • Specially applied weathering effects on armor, weapons, and accessories
  • Approximately 30cm tall 
  • Body with over 30 points of articulations 
  • Six (6) pieces of interchangeable gloved hands including: 
    • One (1) pair of fists
    • One (1) pair of relaxed hands
    • One (1) pair of hands for holding weapons

Costume:

  • One (1) dark brown-colored battle damaged chest armor
  • One (1) dark grey colored undershirt with battle damaged shoulder armors
  • One (1) interchangeable dark brown colored right shoulder armor
  • One (1) beige-colored vest
  • One (1) brown-colored undervest
  • One (1) brown-colored leather-like utility belt with pistol holster and ammo clips
  • One (1) pair of brown-colored gauntlets
  • One (1) pair of dark grey-colored pants with battle-damaged thigh guards
  • One (1) pair of dark brown colored boots with weathering effect
  • One (1) blue-colored left knee guard
  • One (1) pair of brown-colored calf armors
  • One (1) dark grey colored cape

Weapons:

  • One (1) blaster rifle 
  • One (1) blaster pistol
  • One (1) wired grappling hook

Accessories:

  • One (1) flamethrower effect accessory
  • One (1) tracking fob
  • One (1) thermal detonator (attachable to belt)

 

The Blurrg Sixth Scale Collectible Figure features:

  • Authentic and detailed likeness of Blurrg in Star Wars: The Mandalorian series
  • Excellent detail and coloration on mouth, teeth, tail, and rough texture of the skin
  • Approximately 37cm H x 60cm L x 20cm W ( 43 cm H x 60cm L x 25cm W with base)
  • Articulated arms and legs
  • One (1) set of bridle and saddle
  • Each collectible is specially hand-painted
  • Specially designed rocky themed diorama figure stand


© & TM Lucasfilm Ltd.
© 2021 Hot Toys Limited. All Rights Reserved.




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        SKU: 79905069681

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        N
        Nader
        Lowell, 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
        New York, 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
        Waukegan, 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
        Lexington, 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
        San Leandro, 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.
        WAS THIS REVIEW HELPFUL?YesReportShare
        Reviewed in the United States on November 14, 2025

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