I Am #AliveAndThriving Today! || #IAmAliveChallenge || Daily Off-Grid Jungle Journal Entry: Day #1423 - One Failure and One Success in my First Round of Testing Much Larger AI Models on My Laptop - Far East Big Island, Hawai'i - Thursday, June 11, 2026

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I live naked and barefooted, very close to Earth and Nature, in an 18-acre, off-grid, clothing-optional, food-forest intentional community (GaiaYoga Gardens), way out in the jungles of Lower Puna, far East Big Island, Hawai'i, and I have for more than 7 years now. Although there are many challenges, I love my life, and I'm immensely grateful to live where and how I do, on my own terms! I would not want to live any other way! 😁🙏💚⚡💥🔥✴️✳️❇️👣🌱✨🤙

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Warm greetings all! 😁🙏💚✨🤙

After finishing up with my Hive tasks last night, I dove into another round of focused research on using two forks of llama.cpp, and the important flags for each, to test their effectiveness as backend LLM servers. From that bit of focused research just before bed, I put together two run commands, one for each, since they had slightly different usable run flags. I got to testing them out this morning.

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Unfortunately my first round of tests using Qwen3.6 35B-A3B failed, with the model not even being able to load using the llama-cpp-turboquant fork, so I'll need to look more closely as to exactly why they didn't work a bit later. From some more testing, I realized that there's a problem with the llama-cpp-turboquant build that I compiled from source, and that it wasn't an issue with the run flags themselves (at least most of them), so more research and testing is necessary here.

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Since I couldn't get Qwen3.6 35B-A3B to run, I decided to give Gemma 4 26B-A4B QAT a try, after modifying the run flags to work with it correctly. Much to my happy surprise, that worked quite well, though I still do have a good bit of experimenting and testing to do with it, to see how it compares to the much smaller Gemma 4 E4B that I've been using up to this point.

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So I now have one of the two larger models that I wanted running successfully, which represents a notable boost to what I should be able to do with my agentic-AI system, using Hermes Agent. I'm very much looking forward to exploring what's now feasible that wasn't before.

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Just in the short time that I've been working with this new model in Hermes Agent since loading it up successfully, it does seem to be quite a bit quicker and more capable than its smaller counterpart, which I'm quite appreciating indeed. Now that I know that I can run larger models successfully that can't fully fit in my GPU, there's no going back to smaller models, unless they have a specific useful function. Now to get Qwen3.6 35B-A3B up and running successfully.

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Yesterday, Thursday, I left the Flow House, after finishing up my Hive-Blurt-'We Are Alive Tribe' tasks, quite early, by just before 2PM, giving my attention first to some photography for my posts, and then to some jungle-community tasks. I didn't really have the motivation to dive into any big projects yesterday, so I just got various smaller things that needed doing, done. I finally went to Wabisabi in the early evening, to make myself some food, and to collect my leftover superfood fire coffee from the fridge, and with those in hands, I headed back to the Flow House, to do more research on llama.cpp run flags, and to begin my evening Hive tasks. I got through all of my notifications by a little after 9:30PM, and after more focused research into important llama.cpp run flags, and putting together the two run-command templates, I went to bed by about 11:45PM. I woke up just before 7AM, having slept well, going to prepare my superfood fire coffee in Wabisabi, then returning to the Flow House, to do my first round of running my two larger models with specific sets of llama.cpp run flags, and to write this post. It's now just before 2PM, so it's an exceedingly good time to wrap this up, so that I may attend to my few other important Hive-Blurt-'We Are Alive Tribe' tasks, before leaving the Flow House a little later in the afternoon, to focus first on some photography for my posts, and then on some jungle-community/land work and tasks. I deeply appreciate y'all so very much! Until tomorrow's manifestation of these posts! Always forward, onward, upward, and whaleward, ho, together we go! 😁🙏💚✨🤙

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2026 Life Goals

1.) Do regular integral practices again, alone or with others.

2.) Prepare regular batches of my medicinal teas collected from the land again.

3.) Make my plant nursery, and the gardens, beautiful again.

4.) Begin learning relevant coding/programming languages to more fully contribute to the sovereignty-driven technologies where I am active, like Arch Linux, Hive, Qortal, DeSo, and Bastyon.

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All photos were taken with my Motorola G Play 2024 Android Phone.

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Thank you all so much who have helped me get to where I am today, and allowing me to share more of the beauty and magic from my life and my world with you, and for your continuous appreciation and support! I am truly deeply grateful! 😁🙏💚✨🤙

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If you'd like to find me on other alternative platforms where I have accounts (I spend most of my time here on Hive), click on this signature image below to go to my LinkTree page.

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0.89769767 BEE
4 comments

!PIZZA

0.00427835 BEE

Overflowing oceans of thanks, my friend! 😁🙏💚✨🤙

!PIZZA

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!ALIVE !LOLZ !BBH

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Gobs of thanks, my friend! 😁🙏💚✨🤙

!ALIVE
!BBH
!LOLZ

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Not everything worked but you did have some success which is good.

Happy Weekend!

!ALIVE !BBH !UNI !PIZZA !LADY

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View or trade LOH tokens.


@kenny-crane, you successfully shared 0.1000 LOH with @tydynrain and you earned 0.1000 LOH as tips. (2/11 calls)

Use !LADY command to share LOH! More details available in this post.
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Indeedy, Kenny, while I haven't gotten Qwen 35B-A3B running yet, Gemma 4 26B-A4B is running smootly, which is definitely a notable step forward, and a win for sure! Thanks a lot, my friend, and I'm wishing you a most excellent weekend as well! 😁🙏💚✨🤙

!ALIVE
!BBH
!LADY
!PIXY
!UNICOIN

0.00093863 BEE

!HBIT

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