SKU: 18065629022
thyme bonsai tree

thyme bonsai tree Thyme Leaf Cotoneaster on 12" Standard

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Ships within 48 hours · Estimated delivery Sep 19 - Sep 24

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Description

thyme bonsai tree Thyme Leaf Cotoneaster on 12" StandardCotoneaster microphyllus Thyminifolius Thyme Leaf Cotoneaster is a charming evergreen featuring tiny, glossy green leaves and bright red berries on gracefully arching branches. Its fine texture and compact habit make it a perfect addition to miniature themed gardens, where its small scale foliage and berries create a natural, woodland like aesthetic. This versatile plant is equally well suited for rock gardens, borders, and containers, offering year

Cotoneaster microphyllus ‘Thyminifolius’

Thyme Leaf Cotoneaster is a charming evergreen featuring tiny, glossy green leaves and bright red berries on gracefully arching branches. Its fine texture and compact habit make it a perfect addition to miniature-themed gardens, where its small-scale foliage and berries create a natural, woodland-like aesthetic.

This versatile plant is equally well-suited for rock gardens, borders, and containers, offering year-round interest. When grafted onto a 12” standard, its branches can be trained upright to resemble tiny trees, adding a unique and sculptural element to small garden spaces. Low-maintenance and visually striking, Thyme Leaf Cotoneaster is an excellent choice for creative and space-conscious gardeners.

  • Garden Size: 2’H x 3’W
  • Dwarf: 2-4″/year
  • Habit:  Spreading - Small
  • Hardiness:  Zone 5
  • Exposure:  Full Sun

Many perennials and bonsai plants take on a 'winter look' that's different from their summer appearance. The colder temperatures and shorter days trigger seasonal changes, which are actually part of their natural cycle. Some plants need this winter break to bloom and perform their best when the growing season returns. While they might look semi-dormant until early spring, these cosmetic changes don’t impact their health at all.

Bonsai Basic Care: Hard

Watering: Bonsais require careful watering. The frequency depends on the species and the climate, but generally, the soil should be kept slightly moist. Check the soil daily, and water thoroughly when the top layer feels dry.

Light: Most bonsai trees prefer bright, indirect light. A few hours of direct sunlight early in the morning or late in the afternoon is beneficial, but a direct midday sun can be harmful, especially in hotter climates.

Soil/Drainage: To prevent water retention and root rot, use a well-draining bonsai-specific soil mix.

Temperature/Humidity: Depending on the species, bonsai trees can be kept indoors or outdoors. Indoor bonsais generally prefer temperatures between 60-75°F and benefit from increased humidity, which can be achieved through daily misting or humidity trays.

Feeding: Fertilize your bonsai regularly during the growing season. Use a balanced, water-soluble fertilizer every few weeks or as recommended for the specific type of tree.

Pruning/Training: Pruning is essential to maintaining the shape and health of a bonsai. Regular pruning of the roots and canopy is necessary. Training with wires can also shape branches and direct growth.

Repotting: Most bonsai trees require repotting every 2-5 years to prevent root crowding and replenish nutrients in the soil. This is best done in the spring.

General Tips: Regularly inspect for pests and diseases. Bonsai trees are susceptible to insect infestations and fungal infections, which should be treated promptly to keep the tree healthy.

Order & Shipping Info:
-Plants ship in a grower's pot, fully rooted.
-We ship every Monday and Tuesday (excluding holidays) to avoid weekend delays.
-Our photos show what you can expect, but each plant is unique and may look slightly different upon arrival.
-Minor damage during shipping is entirely normal and should be expected, especially in extreme summer or winter temperatures. Don’t worry—damaged foliage can be trimmed away and will not affect the plant's root system or overall health.
-Hold off on watering if the soil is still moist, and wait 2-4 weeks before repotting or fertilizing. This patience will help your plant adjust smoothly without going into shock.

Important:

  • Report any order issues the day they arrive by messaging us on Etsy or emailing [email protected] with a photo. After 24 hours, no refunds, returns, or exchanges—no exceptions.
  • We guarantee plants arrive alive but can’t promise long-term success due to plant nature.
  • Refunds are case-by-case. Many plants recover with proper care, so refunds may not be needed.
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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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]
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SKU: 18065629022

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Ryan Meyer
Dallas, 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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Vineeth Sai
Bozeman, 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!
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Reviewed in the United States on June 27, 2025
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CL
Phoenix, 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
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Amazon Customer
Port Orchard, 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.
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Reviewed in the United States on September 2, 2024
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MrGee
Omaha, 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.
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Reviewed in the United States on August 5, 2021

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