I Am #AliveAndThriving Today! || #IAmAliveChallenge || Daily Off-Grid Jungle Journal Entry: Day #1421 - Preparing to Run and Test Qwen3.6 35B A3B on 8GB of VRAM and 64GB RAM - Lower Puna, Far East Big Island, Hawai'i - Tuesday, June 9, 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! 😁🙏💚✨🤙

As I mentioned in my post yesterday, through a good bit of online research, I've discovered effeftive methods of successfully running quite large AI models, such as Qwen3.6 35B A3B (35 billion total parameters, 3 billion active parameters for each token) on consumer-grade desktops and laptops with 8GB of VRAM (even on 6GB of VRAM), which until recently was quite impossible. That's how quickly AI and agentic-AI tech is developing and evolving. I now have the information necessary to test this in practical terms.

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The model that I've been using up to this point, two variations of Gemma 4 E4B, has 7.5 billion parameters, of which 4 billion are effective for each token, so going from that to a much larger MoE (Mixture of Experts) model will be a very signifant upgrade to the practical capability of my local agentic-AI system. Whether this will end up being more then four and a half times better remains to be seen, but given how capable a model that Qwen3.6 is, this does seem somewhat likely.

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Like Gemma 4 E4B, Qwen3.6 35B A3B is a multimodal model with the inbuilt capabilities of vision, reasoning, and tool use, so it should be able to do everything there Gemma 4 E4B can do, along with quite a lot more, and in a notably more effective and efficient manner. As an LLM for my Hermes Agent setup, Qwen 3.6 35B A3B would work much better indeed, if I'm able to get it up and running successfully.

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I still need to synthhesize the research information on the important llama.cpp run flags, and to decide on exactly which version of llama.cpp to use, as along with the official version, there are also multiple community forks, with different capabilities, features, and specialized optimizations. Pretty much any of them should work for me, but I want to use the one that allows me to squeeze out the highest performance and stability, while using the least amount of system resources.

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I've already downloaded the Q4_K_M quantization of Qwen3.6 35B A3B, which is just over 22GB, though I will also likely test versions with different quantization techniques and formats, as some strongly decrease VRAM usage, while also not losing much model quality. Once I decide on which iteration of llama.cpp, on the optimal quantization type and size, and on exactly which flags and their values to use (I have a few possibilities), I'll be good to go for my first test runs. Hopefully I'll be able to get through all this before the end of the week. We shall see indeed.

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Yesterday, Tuesday, I left the Flow House, after finishing up my Hive-Blurt-'We Are Alive Tribe' tasks, by a little after 2:30PM, giving my attention first to some photography for my posts, and to a few small jungle-community tasks, including chopping and dumping bad/old coconuts at the upper coco bar, and potting up a cutting of a rarer species of Plumeria (frangipani for my European friends), for Melekai to plant down near the beautiful space that's she's in the process of creating. With those completed, I took a quick break up at the Flow House, before diving into digging another round or planting holes, this time down next to Kana's place, with a shovel and an o-o bar. When I finally wrapped that up for the day, I took a shower, made myself some food in Wabisabi, collected my leftover superfood fire coffee from the fridge, and with those in hands I headed back to the Flow House, to do a bit more agentic-AI research, and to begin my evening Hive tasks. I got through all of my notifications quite early once again, by a bit before 9PM, and after more AI research, I went to bed by about 11:15PM. I woke up by about 5:45AM, having slept well, going to prepare my superfood fire coffee in Wabisabi, then returning to the Flow House to write this post. I took a quick break to go help to lift a new tarp over the top of the Bedouin, heading back to the Flow House immediately afterward, to finish writing my post. It's now just before 12:45PM, so it's an excellent time to wrap this up, so that I may attend to my few other important Hive-Blurt-'We Are Alive Tribe' tasks, before preparing for a session that's scheduled for 1:30PM. I deeply appreciate y'all so very much! Until tomorrow's edition 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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4 comments

!BEER

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Multitudinous mountains of thanks, my friend! 😁🙏💚✨🤙

!BEER

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Good luck with your system testing my friend wishing you success in all you do
@tydynrain

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This post has been curated by the Alive And Thriving Team, we curate good content in the We Are Alive Tribe that is on topic for #aliveandthriving, and it's included in our daily curation report on @aliveandthriving, plus @youarealive is following our Curation Trail.

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Thanks a lot, @benthomaswwd, I appreciate it, brother, and very likewise. 😁🙏💚✨🤙

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!ALIVE !LOLZ !BBH

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Thanks so much, my friend! 😁🙏💚✨🤙

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!BBH
!LOLZ

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Great post as always!

I have a random thought; it's probably nothing.

Qwen can do more for less cost in many cases, but I worry about security and doing anything to give an authoritative state an edge in the AI competition. Any thoughts on my random thought?

Some research I did:

...this adoption raises security concerns: the U.S. National Institute of Standards and Technology (NIST) found that DeepSeek’s open models are more susceptible to cyber risks than comparable U.S. models. Additionally, Chinese models may censor topics to comply with political pressures and domestic regulations, and using models hosted by Chinese entities could present data privacy risks.

Even if Chinese models are nearly as good as top U.S. models for much lower costs, enterprise customers developing AI-base applications may prefer U.S. models for political and security reasons.

U.S. researchers and companies increasingly rely on Chinese base models, creating long-term dependency on infrastructure with embedded censorship and potential security vulnerabilities.

Source: https://www.uscc.gov/sites/default/files/2026-03/Two_Loops--How_Chinas_Open_AI_Strategy_Reinforces_Its_Industrial_Dominance.pdf

I may be overly cautious but I don't want to be doing anything to increase China's dominance in anything, especially AI and robots. But that's just me! And I'm sure I own lots and lots of things Made In China so I'm not that concerned after all, maybe! :D

Happy middle of the week! Hang in there, the weekend is coming. :)

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Thank you very much, Kenny, I appreciate it! I hadn't heard about specifically about Chinese models being more susceptible to cyber risks, but I'll look into it a bit more closely. The good thing about open-weight models, which is equivalent to software's open source, is that there's nothing hidden, and they can be modified, such as with various uncensored iterations. Also, China is already way ahead in AI development. Chinese people make up a huge portion of the AI-development community, so it's not even just at the governmental level. One reason that Chinese models are used so extensively is because they are generally better and more capable. Google's Gemma 4 line is very good, and I use that too, but for the most part American-made models can't compare to Chinese models in capabilities and performance, at least not yet. Regarding the exposure of sensitive data, that would be an issue with any cloud-based model that has access to a device, such as through an agent, because anything it sees and processes goes through, and is recorded on the hosting servers. Aside from not being willing to pay to use AI, that is my main reason for wanting to run everything locally, under my own control. 😁🙏💚✨🤙

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That AI model is used by #BraveBrowser and its "sister" project #BraveSearch. 🤔🧘‍♂️ The company explained that such model is efficient. 🤓😅

!LOLZ

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